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Convection - Science topic

Transmission of energy or mass by a medium involving movement of the medium itself. The circulatory movement that occurs in a fluid at a nonuniform temperature owing to the variation of its density and the action of gravity. (McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed; Webster, 10th ed)
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I want to create a model where a laser beam is used to heat up a thin layer (5nm) of gold. It would be required to consider interactions of the laser with both fluid and solid materials as the solid object with the gold layer is submerged in a small micro well. Please refer to the attached document to get an idea about the model.
At this point I beleive using "Radiative Beam in Absorbing Media" in COMSOL 6.2 is a good optiom. Any suggestions would be appreciated.
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Modeling laser-induced convective flows in COMSOL involves simulating the interaction of laser heating with a fluid medium, resulting in temperature gradients that drive convective flows. This type of simulation typically couples thermal, fluid, and, in some cases, electromagnetic physics. Below are the steps to create such a model:
1. Set up the Geometry:
  • Define the geometry of the domain, which could include a fluid-filled container and the region where the laser beam interacts.
  • Consider a smaller domain to reduce computational costs while focusing on the region of interest where the laser is applied.
2. Select the Physics Interfaces:
  • Use the Heat Transfer in Fluids interface to model heat conduction and convection in the fluid.
  • Use the Laminar Flow interface to solve for fluid flow due to convection. If the fluid flow is turbulent, select the Turbulent Flow interface instead.
  • For laser heating, if you want to simulate how the laser interacts with the material, consider adding the Electromagnetic Waves (for high-frequency lasers) or Heat Source (for simpler applications) interface.
3. Define Material Properties:
  • Assign material properties to the domain, such as thermal conductivity, density, specific heat capacity, and viscosity.
  • For the fluid region, use the built-in material library or create a custom material. For water or air, use pre-defined properties, ensuring they are temperature-dependent if necessary.
4. Set up Laser Heating:
  • If using the Heat Transfer in Fluids interface, define a Heat Source corresponding to the laser's energy deposition.
  • Specify the power, location, and shape of the laser beam. This can be a Gaussian profile or another custom function.
  • For more detailed simulations, use the Electromagnetic Waves interface to model the propagation and absorption of the laser energy. Define the wavelength, beam profile, and absorption characteristics of the material.
5. Set up the Fluid Flow:
  • Set up the Laminar Flow or Turbulent Flow interface depending on the flow characteristics.
  • Define initial and boundary conditions for the fluid. For example, set No Slip boundary conditions for walls.
  • Include Gravity if natural convection is a driving force in your model.
6. Couple Heat Transfer and Fluid Flow:
  • Use Multiphysics coupling nodes to link the Heat Transfer in Fluids and Laminar Flow interfaces.
  • Enable Non-Isothermal Flow coupling to account for the temperature gradients driving convection.
  • Specify whether the flow is driven by Buoyancy Force or Thermal Expansion.
7. Define Boundary and Initial Conditions:
  • For heat transfer, specify boundary conditions such as Convective Heat Flux, Inward Heat Flux, or Surface-to-Ambient Radiation if the laser is interacting with an external surface.
  • For fluid flow, define velocity or pressure boundary conditions at inlets/outlets.
8. Mesh the Geometry:
  • Create a finer mesh in regions where the laser interacts with the fluid and coarser meshes in other regions to optimize computational costs.
  • Use Boundary Layer Meshing near walls and surfaces to accurately capture convective flow behavior.
9. Set Up the Study:
  • Choose a Time-Dependent study if simulating transient behavior (e.g., laser being turned on and off).
  • Choose a Stationary study if looking for steady-state solutions.
  • Set appropriate time steps and tolerances for numerical stability and accuracy.
10. Run the Simulation:
  • Run the simulation and monitor key variables like temperature, velocity, and pressure fields to ensure convergence.
  • If the solution does not converge, consider refining the mesh or adjusting solver settings.
11. Post-Processing and Visualization:
  • Visualize temperature contours and flow fields using streamlines or arrow plots.
  • Evaluate quantities like maximum temperature, velocity profiles, and heat flux to analyze the effect of laser heating on the fluid.
Additional Considerations:
  • If simulating phase change due to laser heating (e.g., evaporation), add the Phase Change or Two-Phase Flow interfaces to model the transition.
  • For high laser power or very small scales, consider including the Marangoni Effect (surface tension-driven flow) if surface tension variations are significant.
By following these steps and adjusting for specific laser parameters and fluid properties, you can effectively model laser-induced convective flows in COMSOL.
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"When solar irradiation reaches a surface, some of it is absorbed while the rest is reflected. Part of the light absorbed by the surface transforms into heat and increases the module's temperature. Some of the thermal energy from the PV panel is lost to the environment through convection and thermal radiation. Therefore, for thermal losses, I have two equations: Q(radiation) and Q(convection). To introduce them as boundary conditions in Fluent, I used a Mixed approach to incorporate radiation and convection. However, I'm unsure how to apply the optical loss of the surface due to reflection of the panel towards the environment, derived as: Q_reflectance = G_sun * (1-α), as a boundary condition in Fluent applied to a wall.
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I need some articles on convective boundary please?
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The role of advection of fluxes in modelling dispersion in convective boundary layers
Babatunde J. Abiodun, Leif Enger
First published: July 2002 Part A
Citations: 3
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Abstract A Eulerian three-dimensional higher-order closure dispersion model is presented. The model uses mean wind and turbulence quantities from a second-order atmospheric boundary-layer model. The dispersion model is validated against results from tank and field experiments and compared to results from Lagrangian dispersion models. The results show quite good agreement with experiment and Lagrangian modelling results for point source dispersion in a convective boundary layer (CBL). Sensitivity studies with the model help to identify the role played by advection and horizontal transport terms in the equations for the fluxes in simulating the essential features of pollutant dispersion.Results from the sensitivity tests show that the characteristic features of dispersion from point sources in the CBL—with an ascending plume during ground-level release and a descending plume from a lifted point source—are caused by an imbalance between the advection and diffusion terms in the equation for the vertical flux. Furthermore, it is shown that there is also a tendency for the plume to split horizontally, which is similarly caused by an imbalance between the advection and diffusion terms in horizontal fluxes. The simulated lateral standard deviations of distance x from a point source, for the vertically integrated concentration, are proportional to x close to the source and to x1/2 far away from the source, if and only if the advection and diffusion terms are included in the equations for the turbulent fluxes of concentration. Copyright © 2002 Royal Meteorological Society.
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In Abaqus heat transfer analysis, when assigning furnace temperature to a column (H-Section), how we identify exposed and unexposed surfaces? As in a furnace, all surfaces are exposed. On which surfaces should radiation and convection interactions be assigned? As, for beams, typically, the top surface of the flange is considered unexposed while the remaining surfaces are considered exposed. What should be the approach for columns?
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These are surfaces that are directly exposed to the furnace temperature and radiation. In the case of a column (H-Section), all surfaces are exposed to the furnace temperature, so all surfaces should be considered exposed. These are surfaces that are not directly exposed to the furnace temperature and radiation. In the case of a column, there are no unexposed surfaces since all surfaces are exposed to the furnace temperature. For accurate heat transfer simulations, radiation and convection interactions should be assigned to the exposed surfaces. This is because these surfaces are directly interacting with the furnace temperature and radiation.
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I need to explain the local temperature differnce and boussinsq hypothesis validity?
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Thank you for your answer,
I mean here (concept of local temperature difference, is difference between the surface and fluid temperature(or bulk fluid temperature)) the difference between the max temperature (wall) and the min temperature in the fluid at the same isosurface or plane (cross section 3D pipe).
Kind regards,
Ammar Laichi
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I have other question in setup of mixed convection of water flow in circular tube under an isothermal heat flux using Ansys fluent,gravity is on, In term of density the boussinesq hypothesis is done, also reference density set at reference temperature (inlet temperature), is it necessary to go to operating conditions to more setup?
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Thank you for your answer,
If I use a PRESTO and second order to solve pressure , Momentum and energy equation with simple algorithm for velocity-pressure copling. How i can set up the underrelaxation factor?
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To know the impact of secondary flow in mixed convection of water in circular pipe under an isothermal heat flux the heat transfer and fluid flow characteristics, the boussinesq hypothesis is done. What is the range of temperature in each cross section of the pipe when the boussinesq hypothesis is valid?
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Hey there Ammar Laichi,
When it comes to mixed convection in water flowing through a circular pipe, considering the Boussinesq hypothesis can provide valuable insights into temperature distribution.
In this scenario, the temperature range within each cross-section of the pipe is influenced by the balance between buoyancy-driven flow and forced convection. The Boussinesq approximation assumes that the density variation due to temperature differences is negligible, except for the buoyancy force term in the momentum equation.
Typically, in mixed convection, the temperature gradient across the pipe's cross-section varies, with warmer fluid accumulating near the center and cooler fluid closer to the pipe walls. This temperature profile is influenced by factors such as the Reynolds number, Grashof number, and Prandtl number, along with the imposed heat flux.
The precise range of temperatures within each cross-section depends on various parameters such as flow rate, pipe diameter, fluid properties, and boundary conditions. However, generally speaking, in mixed convection, the temperature difference between the center and the wall of the pipe may vary within a certain range, often with the central region being warmer than the outer regions.
To get a more specific understanding of the temperature distribution in your particular setup, it's essential to conduct detailed simulations or experiments considering the specific geometrical and flow conditions.
Hope this sheds some light on your query! If you Ammar Laichi need further clarification or have more questions, feel free to ask.
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When Prandtl number is increased for two cases tested over same Rayleigh number, the peak vertical-velocity decreases as Prandtl is increased. This is questionable to the fact that in general terms when Prandtl in increased the velocity boundary layer thickness increases due to increase in momentum diffusivity (\nu)
I'm actually uncertain about the fact that I should treat velocity Boundary layer thickness and peak velocity obtained as two different things.
Also, the current observation is done from the Numerically solved Rayleigh Benard Convection problem in OpenFOAM, with Pr and \nu (kinematic viscosity) as input parameters. For both cases (high and low Pr), \nu value is kept constant and indirectly the input is \kappa (thermal diffusivity) when Pr is changed. (can be a factor to get such behavior for velocity peaks)
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To me your results make perfect sense. Firstly, the thickness of the velocity boundary layer is dictated by the thermal boundary layer (buoyancy depends on density differences caused by the varying temperature). Increasing Pr, e.g. by decreasing the thermal diffusivity will lead to a thinner thermal boundary layer, hence also a thinner velocity boundary layer. Given that the buoyancy forces are the same (temp.difference is constant), the thinner velocity boundary layer yields higher shear stresses and as a consequence a lower maximum velocity. Increasing Pr by increasing viscosity would also reduce the max fluid velocity simply because of the increased viscosity.
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Earth emits longwave radiation to space most efficiently from the higher atmosphere layers and regions closer to the poles. As a result, there is an increased need for energy transport to the upper layers of the atmosphere and poleward energy transport. If the former holds true I wonder the potential consequences or changes in the Earth's energy dynamics that have to happen. Here are some examples:
1: increasing convection in the tropics - aka more and extreme positive Indian Ocean dipoles and more and extremer EL Niños?
2: increasing poleward moisture transport?
3: increasing poleward warm water transport? E.g. intensifying gyre circulations?
4: extreme convection events injecting water vapor into the stratosphere moving poleward?
5: increasing cold air outbreaks out of the polar air cell during winter, so warm air can move north?
6: Would this increase longwave radiation to space as convective activity increases in the Arctic during winter?
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Thank you for the clarification Jan.
In that case I agree with you that the subject is both interesting and in need of further investigation. The calculation of the EEI is performed in a climatic sense over decade-long scales. So, in the approach you propose, I think that it is necessary to do a similar averaging and compare the anomaly of the intensity of all the metrics/mechanisms that you mention against anomalies in EEI.
Nevertheless, I would argue that the situation you examine in your test case, is a rearrangement of heat through advection within the system itself, and of course it is being examined on the scale of synoptic meteorology and not the climatic one. Even after all the statistics and averaging, you will still have to explain the mechanism of how an anomaly in, say, 850hPa southerly winds in the Arctic, translates to an increase in emitted ToA longwave radiation.
My original argument about complexity remains, as the EEI has to do with the surface of the whole Earth (or top of the atmosphere), meaning that one of the mechanisms you propose could be counteracting an other, in a complex system with so many degrees of freedom; thus, I would definitely anticipate to find some non-linearities involved.
Don't get me wrong, I still find this a highly relevant and interesting research topic. I am probably not as optimistic in finding straightforward one-to-one relations.
All the best
Stamatis
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Regards
R. M. Ziaur
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Sorry. I never used Comsol.
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Convection with an elastic wall, often referred to as convective heat transfer with a deformable or elastic boundary, has several practical applications across various fields:
### Biomedical Engineering:
1. **Tissue Heating and Cooling**: In hyperthermia treatment, where tumors are heated for therapeutic purposes, or in cryotherapy where tissues are cooled, understanding convective heat transfer with an elastic boundary is crucial. This helps in modeling the temperature changes in biological tissues during such treatments.
### Aerospace Engineering:
2. **Aeroelasticity and Thermal Protection Systems**: In designing aerospace structures, especially those experiencing high temperatures during re-entry, understanding convective heat transfer with an elastic boundary is important for thermal protection systems. Materials may deform due to heating, and this interaction between heat transfer and structural deformation is vital for ensuring the integrity of the spacecraft or aircraft.
### Material Science and Manufacturing:
3. **Molding and Forming Processes**: Processes like blow molding or thermoforming involve heating materials and then deforming them into specific shapes. Understanding convective heat transfer with an elastic wall helps in optimizing heating and deformation processes to achieve desired shapes and properties.
### Microfluidics and Nanotechnology:
4. **Microfluidic Devices**: In microfluidics, where tiny amounts of fluid are manipulated, convective heat transfer with elastic walls is significant. Understanding how heat interacts with deformable microchannels or membranes is crucial for designing efficient microfluidic devices for various applications such as lab-on-a-chip systems, drug delivery, or bio-sensing.
### Energy Systems:
5. **Thermal Management in Energy Devices**: In batteries, fuel cells, or other energy devices, managing heat is critical. Understanding convective heat transfer with elastic boundaries helps in designing efficient thermal management systems to maintain optimal operating temperatures, prevent overheating, and ensure longer device lifespan.
### Robotics and Soft Materials:
6. **Soft Robotics**: Deformable or elastic boundaries are common in soft robotics. Understanding convective heat transfer with such boundaries aids in designing soft robotic systems where thermal effects influence the mechanical behavior or deformation of the materials used.
### Environmental Engineering:
7. **Geothermal Applications**: In geothermal systems, understanding convective heat transfer in deformable geological formations is important for harnessing and utilizing geothermal energy efficiently.
These applications highlight the significance of comprehending convective heat transfer with elastic boundaries across various fields, influencing areas from medical treatments to space exploration and from energy systems to materials engineering.
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Mixed double-diffusive convection, characterized by the simultaneous presence of temperature and concentration gradients in a fluid, offers several advantages in various applications. Here are some key advantages, along with explanations:
  1. Enhanced Heat and Mass Transfer:In systems experiencing mixed double-diffusive convection, the interaction between temperature and concentration gradients enhances heat and mass transfer rates. This can be particularly advantageous in processes where efficient thermal and mass exchange are crucial, such as in chemical reactors or heat exchangers. The combined effects lead to intensified transport phenomena, improving overall system performance.
  2. Natural Mixing Mechanism:Double-diffusive convection naturally induces mixing in fluid systems. The interplay between thermal and concentration gradients generates fluid instabilities, resulting in the formation of convective cells and turbulent mixing. This natural mixing mechanism is valuable in applications where homogenization of the fluid is desirable, such as in chemical processing or environmental systems.
  3. Buoyancy-Driven Flows:Mixed double-diffusive convection often involves buoyancy-driven flows, where variations in density due to temperature and concentration gradients induce fluid motion. This buoyancy-driven circulation can be advantageous in applications where a self-sustaining flow is desired, potentially reducing the need for external pumping mechanisms.
  4. Thermohaline Circulation in Oceans:In oceanography, the phenomenon of thermohaline circulation, driven by mixed double-diffusive convection, plays a vital role in the global movement of ocean currents. Variations in temperature and salinity create density gradients, contributing to the vertical and horizontal transport of water masses on a global scale.
  5. Enhanced Cooling in Electronics:In electronic devices, mixed double-diffusive convection can be harnessed to enhance cooling efficiency. The combined effects of thermal and concentration gradients lead to improved convective heat transfer, providing a potential solution for managing heat dissipation in electronic components and systems.
  6. Geophysical and Astrophysical Relevance:Mixed double-diffusive convection is observed in geophysical and astrophysical contexts, contributing to phenomena such as fingering convection in Earth's mantle or the layered structure of planetary atmospheres. Understanding these processes is essential for gaining insights into the behavior of planetary interiors and atmospheres.
  7. Control of Fluid Transport in Porous Media:In porous media, mixed double-diffusive convection influences fluid flow and solute transport. This can be beneficial in applications such as groundwater management, where the control of fluid movement is essential for processes like contaminant remediation or enhanced oil recovery.
It's important to note that the advantages of mixed double-diffusive convection are context-dependent, and the specific benefits may vary based on the characteristics of the system and the application. In many cases, understanding and controlling mixed double-diffusive convection can lead to improved efficiency and performance in a wide range of engineering and natural systems.
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Suppose, we need to solve 1D heat conduction equation numerically to simulate the heat transfer for a steel rod where convection occurs at its surface. Now, how to solve the 1D heat conduction equation considering the convection scenario also as boundary conditions? any suggestion or resources?
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Thanks Professor Filippo Maria Denaro
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All materials have elasticity, do you mean wall that deforms under the pressure of the fluid?
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Anywhere the cylinder is hot and rotating may be an application.
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Is these terms are same?
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Respected Amjed A. Kadhim
Thank you so much for your explanation.
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Double-diffusive convection flow with Soret and Dufour effects in an irregular geometry in the presence of thermal radiation
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In this study, the effect of radiation on double-diffusive natural convection is investigated by considering the phenomena of Soret and Dufour in complex geometry, for the first time. The multi-time relaxation lattice Boltzmann method has been adopted to calculate the momentum, energy, and species equations. The radiative transfer equation has been solved using the finite volume method. Complex boundaries have been simulated by the sharp interface-immersed boundary method. The influences of effective parameters including the optical thickness (τ = 1 to 100), Rayleigh number (Ra = 104 and 105), Planck number (Pl = 0.01 to 1), Buoyancy ratio (Br = − 5 to 5), Soret number (Sr = − 1 to 1), and Dufour number (Df = − 1 to 1) have been analyzed on the flow field, heat, and mass transfer in a square cavity with an internal circular cylinder. Moreover, temporal variations of velocity and phase space trajectory have been used to study the effects of radiation on unsteady flow behavior. Results indicate that, the increment in optical thickness significantly reduces radiation, while a sweep behavior occurs in mass and heat transfer. Increasing the Dufour (Soret) parameter depending on the value of the Soret (Dufour) parameter can increase or decrease the mass (heat) transfer.
Introduction
Double-diffusive convection is a common phenomenon in natural and industrial applications such as crystal growth, oceanography [1], pollutant movement [2], drying technologies [3], metal manufacturing processes [4], chemical reactors [5], plastic and metal extrusion industries [6]. This phenomenon is created by buoyancy forces due to the simultaneous gradients of temperature and concentration [7]. The heat transfer produced by the concentration gradient is called the Dufour effect, and the mass transfer created by the temperature gradient is called the Soret effect. These effects play an important role in the natural convection flow when the temperature and concentration gradients are large. Nithyadevi and Yang [8] performed a numerical analysis on the natural convection flow of water with mass transfer by taking the effects of Soret and Dufour. Their studied geometry was a partially heated square cavity. They considered two modes, in their study. In the first case, they assumed that the concentration of the right wall was higher than the left wall, and in the second case, the left wall had been considered at a higher concentration than the right wall. One of the obtained results was that, as the number of thermal Rayleigh numbers increases, the heat and mass transfer rates increase too. In addition, it was observed that high values of the Dufour parameters cause the fluid particle to move with higher velocity and heat transfer rate. In the first case, they found that increasing the Soret parameter causes a reduction in the velocity and increases the mass transfer rate. In contrast, in the second case, the opposite behavior occurs. Bég et al. [9] investigated the heat and mass transfer processes of natural convection from a spherical body enclosed in a micropolar fluid by considering the effects of Soret and Dufour. It was found that increasing the Soret number causes an enhancement in the rates of heat transfer. Wang et al. [10,11] investigated the oscillation of a convection flow caused by the simultaneous effect of temperature and concentration gradients by taking the effects of Soret and Dufour in a horizontal cavity. It was found that with increasing buoyancy ratio, the flow structure has variation in a way that the flow changes from a steady state to a chaotic flow and finally to a periodic oscillation. Also, as the Soret and Dufour ascend, the oscillating convection changes from chaotic flow to periodic oscillation. Kefayati [12] analyzed the convection flow of a non-Newtonian fluid by considering the effects of Soret and Dufour in a square enclosure. They found that the Dufour parameter affects heat and mass transfer. In contrast, the Soret number only has a significant effect on mass transfer. Ren and Chan [13] proposed a new numerical method based on the lattice Boltzmann method (LBM), assuming the simultaneous heat and mass transfer with the effects of the Soret and Dufour in a square cavity. Kefayati [14,15] presented a finite-difference LB model to study natural convection flow caused by mass and temperature gradients in the presence of the Soret and Dufour effects. The geometry was an inclined porous cavity filled with a non-Newtonian fluid. It was clear that, for different Rayleigh numbers, by increasing the Dufour number, the heat transfer will increase, and on the other hand, the mass transfer rate has been increased by enhancing the Soret number. Liu et al. [16] proposed a non-equilibrium multiple-relaxation-time lattice Boltzmann (MRT-LB) model to investigate the heat and mass transfer problems resulting from concentration and temperature gradients with the effects of Soret and Dufour. In this study, they used a rectangular cavity to show the capability of their method and showed that their method is more stable than other LB models. Xu et al. [17] investigated the double-diffusive natural convection (DDNC) phenomenon in the presence of the Soret and Dufour effects around a cylinder with a circular geometry within a square cavity. It has been observed that the simultaneous increase in the Soret and Dufour numbers stabilized the flow in the unsteady state and reduced heat and mass transfer. In a numerical study, Qiu et al. [18] investigated the effects of the Rayleigh number, buoyancy ratio, and aspect ratio on natural convection flow with the effects of Soret and Dufour in a horizontal enclosure filled with low Prandtl number fluids. One of their results point was found that the role of convection heat transfer becomes more significant as buoyancy ratio enhances under different Prandtl numbers. Kefayati [19] investigates the effects of Lewis number, Bingham number, Rayleigh number, Eckert number, inclined angle, Dufour number, Soret number, and buoyancy ratio on the flow characteristics, the heat and mass transfer, as well as the entropy generations in a square enclosure. It was found that with the increase in the Soret and Dufour numbers, the entropy generations increase due to fluid friction and heat transfer. Kaladhar et al. [20] investigated the effects of chemical reaction, slip, and Soret and Dufour parameters on the flow characteristics and the heat and mass transfer of mixed convection flow within an annulus. By considering the results, it was understood that raising the Soret parameter amplifies the concentration profile while the fluid flow velocity and temperature profile decreases. In numerical research work, Sardar et al. [21] studied the effects of Soret and Dufour numbers, magnetic parameter, Prandtl number, wedge angle, Schmidt number, Brownian motion parameter, variable wall temperature and concentration, and thermophoresis parameter on heat and mass transfer rates during the mixed convection flow of a Nano-fluid on a wedge. One of the presented results was that if the Dufour number takes higher values, the thickness of the thermal boundary layer increases. With increasing the Soret number and the thermophoresis parameter, the boundary layer thickness of the nanoparticle volume fraction increases. By using Buongirno's nanofluid model, Salleh et al. [22], investigated the effect of Soret and Dufour on flow behavior along with mass and heat transfer characteristics of forced convection flow around a long, narrow needle. It has been found that in a particular region, the heat and mass transfer rates were inversely related to the Dufour and directly related to the Soret, and increasing the needle thickness will cause a reduction in heat and mass transfer. Wang et al. [23] investigated the effects of Soret, Dufour, buoyancy ratio, Lewis, and Rayleigh number on the flow characteristics and the heat and mass transfer for the convection flow within an open square cavity. The results indicated that when the buoyancy ratio is −1, the lowest rate of heat and mass transfer occurs. They also found that heat and mass transfer rates enhance as the Soret and Dufour numbers increase. In contrast, the Soret and Dufour impact on the heat and mass transfer rate is not obvious when Lewis number equal to 1. Hussain et al. [24] investigated the mixed convection flow with heat and mass transfer in the presence of a magnetic field in a cavity with a porous medium. In that study, they analyze the effects of buoyancy ratio, Soret and Dufour numbers, Darcy number, the inclination of the magnetic field, Lewis number, Hartmann number, and power low index on flow, temperature, and concentration patterns, as well as heat and mass transfer rates along with entropy generation. By considering their result, we can find that an increase in the Dufour number, Darcy number, and power low index leads to an increase in the heat and mass transfer rates. The mass transfer has an upward relationship with the Soret and Lewis number. In all of the above studies, researchers have concluded that two important physical phenomena, the effect of Soret and Dufour, play a significant role in fluid flow behavior, heat, and mass transfer of DDNC. On the other hand, it has been shown that DDNC has numerous practical applications inside closed spaces at low temperatures that can ignore the effects of radiative heat transfer. However, in high-temperature situations, radiation, due to its proportionality to the fourth power of absolute temperature, has an important effect on DDNC in the processes such as nuclear reactors, crystal growth, combustion chambers, etc. [25]. Hence, this issue has received a lot of attention in recent decades. Laouar-Meftah et al. [25] studied the DDNC phenomenon in the presence of radiation heat transfer in a two-dimensional enclosure with a non-gray medium. It was indicated from their result that at any given value of the buoyancy ratio and in all flow regimes, radiation reduces the total heat transfer. The unsteady and two-dimensional natural convection flow in the presence of radiation around a semi-infinitely moving vertical cylinder has been studied by Ganesan and Loganathan [26] and considering the mass transfer. It was seen that the radiation parameter has a significant effect on temperature and velocity distributions. Ibrahimi and Lemonnier [27] investigated the transient convection flow combined with radiation in a square enclosure under the presence of thermal and solutal buoyancy forces. They obtained that in aiding situation, the radiation accelerates the transition to a steady state. At the same time, while in the opposing, it takes longer for the flow to reach the steady-state, from the oscillating state. Abidi et al. [28] presented a numerical study on the effect of radiation on three-dimensional DDNC in a cubic enclosure. They investigated the conduction-radiation parameter and the optical thickness on flow behavior. They observed that in thermally dominated flow, increasing the conduction-radiation parameter causes a change from a multicellular inner core to a unicellular one. In a solutally dominated flow, the opposite behavior occurs. In addition, they found that at all values of the buoyancy ratio, the radiation will cause an increase in the transverse velocity. Moufekkir et al. [29,30] presented a numerical analysis in which the effects of various physical parameters on DDNC in a square cavity filled with a gray fluid have been studied. They concluded that volumetric radiation modifies the flow structure and temperature distributions. Serrano-Arllano and Gijón-Rivera [31] analyzed the DDNC phenomenon coupled with radiation in a two-dimensional enclosure. They concluded that radiative heat transfer, especially at high Rayleigh number values, reduces convection heat transfer while it will increase the total heat transfer. In a numerical study, Laouar-Meftah et al. [32] studied the effect of radiation on natural convection flow along with heat and mass transfer within a two-dimensional enclosure filled with a non-gray gas. They considered two modes. In the first case, they assumed that the thermal and solutal buoyancy forces were cooperating, and in the second case, they were opposing. It has been found from their result that in the first case, radiation has a significant effect on temperature and concentration characteristics and also reduces the total heat transfer while having little effect on mass transfer. But in the second case, radiation has a greater effect, which depends on the nature of the flow regime. Cherifi et al. [33] analyzed the effect of thermal radiation on DDNC in a cubic cavity filled with a non-gray gas. It was found that radiation creates oblique stratification in the structure of constant temperature and concentration lines, and also, the total heat transfer on the vertical walls is reduced. At the same time, there is little change in mass transfer. In a numerical study, Nee [34] investigated the DDNC phenomenon of a participant fluid in a rectangular enclosure. One of the results was that increasing the radiation parameter reduces the transfer heat rate while having little effect on the mass transfer rate. The effect of thermal radiation on the flow, heat, and mass transfer characteristics of double diffusion convection has been investigated many times by considering the effects of Soret and Dufour in simple one-dimensional geometries [[35], [36], [37], [38], [39]]. Reza-E-Rabbi et al. [35] have performed numerical work to indicate the effect of radiation on the magnetic multiphase nanofluid flow over a stretching sheet. They also considered the presence of a nonlinear chemical reaction in this modeling. The results revealed that increasing the radiation, magnetic, and heat source parameters along with the Dufour number causes a reduction in the heat transfer coefficient profiles. Ijaz Khan et al. [36] investigated the effects of different flow controlling parameters on nonlinear mixed convection MHD flow in the presence of radiative heat transfer. Our outcomes illustrated that the rate of heat transfer decreases under the influence of the Prandtl number and the intensity of the magnetic field, and the rate of mass transfer increases against large values of the Schmidt number and the activation energy parameter. Ijaz Khan et al. [37] investigated the entropy generation and fluid transport properties of tangent hyperbolic nanofluid over a sheet in mixed convection flow by considering a binary chemical reaction and thermal radiation. In all of the mentioned research, the volumetric radiation has been simulated by the Rosseland approximation. While obtaining the radiation source term in the energy equation is simplified using the Rosseland appr
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Taimoor Ali This makes sense, as it is combined heat and mass transfer. I do not get the radiation part though. Bird, Stewart and Lightfoot's excellent book covers combined heat and mass transfer quite well.
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Dear Genius Researchers,
I would like your guidance if anyone can help me in model (Numerically) pool boiling heat transfer phenomena. I am working on Mathematical modeling of "Quenching process", and stuck in lot of theories, still unable to find way to model the "convective heat transfer coefficient" during pool boiling in quenching a steel specimen.To make it simple can we use one dimensional FE method in doing so...? Please share your expert opinion and guidance.
Thanks
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Thanks for your quick response and suggestion.
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Recently, I have worked on a subject that I need to analyze the vortex.
Is there any good reference (book, lecture, or paper) that illustrates clearly vortex generation, type of them, convection, and shedding?
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I suggest the book by Tennekes, H., & Lumley, J. L. (1972). A first course in turbulence. MIT Press. Available on: https://www.academia.edu/download/54563360/Henk_Tennekes__John_L._Lumley_A_First_Course_in_Turbulence.pdf (more than 12 000 citations) is essential for a fundamental understanding of the physical mechanisms of turbulence.
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Dear amazing members,
I have a doubt.
If I have three adjacent planes with different boundary conditions, in a 3D domain, Dirichlet (fixed temperature) on one plane, Neumann fixed flux on another plane and Neumann heat conduction on another, then what should I do?
Should I consider all the conditions on the common node? I read somewhere that if Temperature and heat flux is specified on a node then only specified temperature should be considered, but I don't know if I should ignore convective heat transfer when temperature is specified.
And in 2D case, when only temperature is specified on one edge, and convective heat transfer on adjacent edge? Then should I consider the heat convection at the common node these two edges?
Thank you 😊
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At a boundary surface you can either specify the temperature or heat flux, not both, as the one determines the other. So if you have nodes on the the boundary line which separates these two regions, then, I think you can specify one of these two conditions alternately on every consecutive node.
Regards
Dr Kumar Eswaran
Professor
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How can I find value of convective heat transfer coefficient (h) of free air at -20 degree Celsius? Is there any h vs T graph? Or data table?
Description: The air is under natural free convection and the pressure is 1 bar to 0.1 bar.
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That all depends on what the air is doing in relation to the surfaces of interest. Is the air flowing? Is the air stagnant? Is the air free to flow should the opportunity for natural convection arise? Please provide more information.
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Forced convection is a process where fluid flow is artificially induced, typically by mechanical means such as fans, blowers, or pumps, to enhance heat transfer between a surface and the fluid. It is widely used in various practical applications across different industries. Some of the most practical applications of forced convection are:
  1. Heating, Ventilation, and Air Conditioning (HVAC) Systems: Forced convection plays a vital role in HVAC systems, where fans or blowers are used to circulate air through heat exchangers or coils to transfer heat between the fluid and the surrounding environment. This process is crucial for maintaining comfortable indoor temperatures in buildings and vehicles.
  2. Cooling of Electronic Devices: Forced convection is commonly employed to cool electronic devices such as computers, servers, and electronic cabinets. Fans or other cooling mechanisms help dissipate heat generated by electronic components and prevent overheating, ensuring reliable and efficient operation.
  3. Industrial Heat Exchangers: In industrial settings, forced convection is extensively used in heat exchangers to transfer heat between fluids. By employing fans or pumps, heat exchangers can achieve higher heat transfer rates, allowing for efficient heating or cooling processes in applications like power plants, chemical plants, refrigeration systems, and oil refineries.
  4. Automotive Radiators: Forced convection is utilized in automotive radiators to cool the engine by circulating air over the radiator fins. Radiator fans assist in increasing the airflow, enhancing the cooling effect and maintaining the engine's optimal operating temperature.
  5. Aerospace Applications: Forced convection is crucial in aerospace applications for cooling engines, electronics, and various components. Fans, blowers, and pumps are utilized to facilitate heat transfer, ensuring safe and efficient operation of aircraft, rockets, and satellites.
  6. Drying Processes: Forced convection is commonly employed in drying processes, such as industrial dryers, where heated air is circulated using fans or blowers to remove moisture from materials or products. This method is used in industries like food processing, paper manufacturing, and textile production.
  7. Power Generation: Forced convection is utilized in power generation facilities, such as thermal power plants, where steam is forced over the surface of turbine blades to enhance heat transfer and improve turbine efficiency. It is also used in cooling towers, where fans facilitate the evaporation of water for effective heat dissipation.
  8. Solar Collectors: In solar thermal systems, forced convection can be employed to improve heat transfer from the absorber surface to the working fluid. Fans or pumps are used to circulate the fluid, enhancing the overall efficiency of solar collectors.
These are just a few examples of the practical applications of forced convection. In general, forced convection is employed whenever there is a need to enhance heat transfer between a solid surface and a fluid, whether it is for cooling, heating, or drying purposes in various industrial, commercial, and residential settings.
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Well, there are several applications in microfluidics,
  1. Thermal management: By taking advantage of temperature gradients created in the system, it is possible to manipulate fluid flow and enhance heat transfer. This can be particularly useful for applications such as cooling microelectronic devices, where efficient heat removal is crucial to prevent overheating.
  2. Mass transfer and mixing: Double diffusive mixed convection can facilitate enhanced mass transfer and mixing within microfluidic devices. By employing thermal and solutal buoyancy-induced flows, it is possible to enhance the transport and mixing of species within the fluid. This can benefit various applications, including chemical reactions, drug delivery systems, and lab-on-a-chip devices.
  3. Separation techniques: Double diffusive mixed convection has significant potential for various microfluidic separation techniques. The utilization of temperature and concentration gradients allows for the selective movement and separation of different species within the fluid. This innovative approach enables the effective separation of particles, biomolecules, and chemical species, opening up possibilities for applications such as bioseparations, microscale chromatography, and microfluidic fractionation. By harnessing these principles, it is feasible to achieve enhanced separation efficiencies and improved resolution in microfluidic systems.
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Hi
For the validation purpose, I need some published data for upward flow between parallel plates in mixed convection
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1 "Mixed convection in a vertical parallel-plate channel with opposing buoyancy forces" by S. Tardu and A. E. Akay (International Journal of Heat and Mass Transfer, Volume 49, Issues 3–4, February 2006, Pages 760-768). This paper presents experimental and numerical data on mixed convection in a vertical parallel-plate channel with opposing buoyancy forces.
2. "Mixed convection in a vertical parallel-plate channel with uniform heat flux" by S. M. Sohel Murshed and C. A. Nieto de Castro (International Journal of Heat and Mass Transfer, Volume 49, Issues 9–10, April 2006, Pages 1592-1602). This paper presents experimental and numerical data on mixed convection in a vertical parallel-plate channel with uniform heat flux.
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Double diffusive forced convection, also known as thermosolutal convection, has a wide range of practical applications across different fields, including engineering, geophysics, and materials science. Some of the most practical applications of double diffusive forced convection include:
  1. Solar ponds: Double diffusive forced convection is used in the design of solar ponds, which are large-scale, low-cost, and environmentally friendly devices used for the production of solar thermal energy. The use of double diffusive forced convection in solar ponds improves the efficiency of heat transfer and helps to maintain a stable temperature gradient within the pond.
  2. Crystal growth: Double diffusive forced convection is used in the crystal growth industry to control the growth of crystals with a specific size, shape, and quality. The use of double diffusive forced convection helps to reduce the concentration gradients within the crystal growth solution, which can lead to improved crystal growth and reduced defects.
  3. Oceanography: Double diffusive forced convection plays an important role in the oceanography by driving the mixing and transport of heat and salt within the ocean. The use of double diffusive forced convection in oceanography helps to improve our understanding of oceanic circulation and climate change.
  4. Heat exchangers: Double diffusive forced convection is used in the design of heat exchangers, which are used to transfer heat from one fluid to another. The use of double diffusive forced convection in heat exchangers improves the heat transfer efficiency and reduces the size and cost of the heat exchanger.
  5. Nuclear reactors: Double diffusive forced convection is used in the design of nuclear reactors, where it plays an important role in the cooling and safety of the reactor. The use of double diffusive forced convection in nuclear reactors helps to control the flow of coolant and prevent the overheating of the reactor core.
Overall, the practical applications of double diffusive forced convection are diverse and wide-ranging. Its use in different fields helps to improve our understanding of fluid mechanics, energy transfer, and material science.
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Do the convective boundary conditions belongs to the Neumann type?
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I think from the answers that the topic requires some details.
If you write a scalar equation in the normal direction to the outflow, you can write approximately something like (d/dt +vn*d/dn) f= d/dn(alpha*df/dn).
Setting to zero the diffusive flux in the RHS is equivalent to prescribe a homogeneous Neumann BC and produces a convective-like BC.
This approach is largely used, for example in Fluent.
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In Ansys Fluid Flow (Fluent), I performed a thermal simulation on a heat sink, How can I find the thermal coefficient (h) for convection or heat flux for convection values from that simulation?
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Average heat transfer coefficient on the interface of solid-liquid can be obtained from the Fluent->Reports->Surface integrals -> Facet average -> select the interface plane -> heat transfer coefficient and calculate or save the parameter as output variable.
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As we know, in many references (Farmer et al., 1975; Schmidt et al., 2018; Austin, 2019), the harmonic analysis on the individual thermistor temperature records was applied, especially for the high-frequency water temperature data. I think this method is helpful for water temperature analysis, but I still do not fully understand the physical significance of this method. Can anyone make a clear explanation for this?
After a harmonic analysis, we can obtain a signal. It is easy to understand that the magnitude of the signal decreases with water depth. But some researchers assume that it can be fitted with an offset exponential equation (Austin, 2019). In this way, I can not understand. Hope some warm-hearted can help to explain it.
Thanks very much!
Reference:
[1] Farmer D M. Penetrative convection in the absence of mean shear[J]. Quarterly Journal of the Royal Meteorological Society, 1975, 101(430): 869-891.
[2] Austin J A. Observations of radiatively driven convection in a deep lake[J]. Limnology and Oceanography, 2019, 64(5): 2152-2160.
[3] Schmidt S R, Gerten D, Hintze T, et al. Temporal and spatial scales of water temperature variability as an indicator for mixing in a polymictic lake[J]. Inland Waters, 2018, 8(1): 82-95.
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I don't know about harmonic analysis, but in water there can be internal waves. The phenomenon is called seiche, and is explained here: https://en.wikipedia.org/wiki/Seiche This can cause the temperature at one point to fluctuate in line with the water. Especially around the thermocline.
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Dear Dr. Ahmed,
Double diffusion convection plays a significant role in upwelling of nutrients and vertical transport of heat and salt in oceans. Salt fingering contributes to vertical mixing in the oceans. Such mixing helps regulate the gradual overturning circulation of the ocean, which control the climate of the earth.
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How to prevent convection for top surface of cell while having only conduction with tabs ?
Can i use simply convective boundary condition with 0 heat transfer coefficient value for whole top surface ?
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Just to be clear, if i define heat flux using heat flux boundary condition to be zero then it would make heat transfer due to convection as well as conduction to be zero however i only wanted to have conduction from top surface of battery cell.
Using convective boundary condition , defining h to be zero at top surface will it cause only heat transfer due to convection to be zero ?
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The water temperature in summer is over 30 degrees. This is favorable for the formation of a tropical cyclone. From autumn to spring, the water temperature is higher than the air temperature. This is favorable for the formation of a tropical cyclone. The type of atmospheric circulation is anticyclonic. This is favorable for the formation of a tropical cyclone. The width of the Red Sea is more than 300 km and it is more than the diameter of the convective cell that transforms into a vortex. The salinity of the water in the Red Sea and in the Persian Gulf is much higher than usual. Maybe this is the problem? It is known that salt water evaporates worse than fresh water.
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  1. Go to the website https://rammb-data.cira.colostate.edu/tc_realtime/
  2. Click on a year, then click on Indian Ocean.
  3. Choose a cyclone, and then choose Satellite, which is just to the right of "Storm synopsis"
  4. Then scroll down to the middle, to the "Storm Relative 16 km Geostationary Water Vapor Imagery"
  5. Then click on "Loop" and watch the interaction between the "Pakistan-Arabia Dust Cloud"
  6. I gave the six Dust Clouds that occur from Morocco to Pakistan names so we can start talking about them, and their massive impact on the planet's weather--able to trap heat in the air many times better than CO2 or methane. Attached is my suggested map.
  7. Attached is today's potential cyclone forming, and you can see the impact of the Pakistan-Arabia Dust Cloud.
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I am trying to develop a UELMAT for a steady heat transfer analysis. My problem is that my element doesn't work when convection interaction is applied to it. I have tried both to apply this concentrated interaction in the nodes (since superficially it does not work in user-defined elements) and trying to add the FILM subroutine inside the UELMAT subroutine. In all it returns me the nodal temperature as 0 in all the nodes.
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Umat to script load and interaction film conditions
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Tropical cyclogenesis is a sequence of random events that transform convection into a vortex. Many people think so. But there are facts of correlation of tropical cyclogenesis activity in different regions of the planet. There are data on the cyclical strengthening and weakening of the global tropical cyclogenesis. But then it is a natural, not a random process. For more details, see the dissertation of my graduate student Vadim Doli. See also my question "It is believed that tropical cyclones are local eddies that form without a system. I think this is a mistake." There is a discussion on this topic.
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Is a tropical cyclone formed randomly from a convective cell? Look at the satellite image. We see a mirror picture relative to the equator. Is the probability of such a coincidence zero? Drawing from open Internet resources.
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I'm now studying the transportiveness of discretisation schemes using An introduction to Computational Fluid Dynamics: The finite Volume Method; HK Versteeg & W Malalasekera; 1995. In Page 144 it says "Since there is no diffusion φ_P is equal to φ_W. If the flow is in the negative x-direction we would find that φ_P is equal to φ_E" (The x-direction is W -> P -> E, and there is only convection and no diffusion, so Peclet number = inf. See the appended figure for details.).
This really confuses me, does it mean if the flow is in the x-direction, then φ_P is unequal to φ_E and they are equal only if the flow is in the negative x-direction?? I cannot understand it because if the flow is in the x-direction, E will be downstream of P and will only be influenced by P, so φ_E is equal to φ_P, which follows that φ_W=φ_P=φ_E.
Do I make a mistake? Please help me, thanks a lot!
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Do not pay too much attention on the shape of the regions, that can be misleading since of the 1D spatial problem.
The best way to start understanding the hyperbolic character is to use the simple linear problem dphi/dt+u dphi/dx=0. Then, consider the exact solution phi(x,t)=phi(x-u*t,0) that is phi is constant along the characteristic line dx/dt=u. Compare that to the CFL=u*dt/h to see what happens in case of upwind. You will see when you get an interpolation or an extrapolation of the values.
For a deeper understand of such problems, have a look at the tectbook of Leveque.
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  • Two-dimensional Steady State Conduction in a Slab Irradiated by a High Energy Laser Beam at The Surface: Use the finite difference method to solve a two-dimensional steady state conduction in a rectangular aluminum (k =200 W/m C) slab subjected to a constant surface heat flux irradiated by a high-energy laser beam at the top surface. For simplicity, assume the heat flux distribution to be to be a constant average value IO = 2 X 108 W/m2 acting over a section of the surface equal to the beam diameter, d=4mm as shown in the figure. The remaining portion of the top surface is subjected to convection with hc=100W/㎡ C. All other surfaces are assumed to be maintained at constant temperature of 𝑇∞=25 C.
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Hello Sir
Your question is not clear.
Please give a clear problem to understand your question.
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Hello everyone, I was wondering about the convection phenomenon in the airgap of a permanent magnet machine. I found in the literature that we need to look for the Taylor number and then Nusselt number based on the flow type (speed) to find the thermal resistance in the airgap. But what about the boundary condition temperatures on the inner stator surface and outer rotor surface? Are they necessary to determine the temperature in the air gap using the LPTM model?
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look for Ion Boldea Books, You may find a solution there.
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Hello,
I am trying to model a 3D heat transfer problem in COMSOL v6. The geometry is very simple and attached below. The length of model is 2m. Rectangular block is 200mm * 160mm.
The point of interest is to calculate equivalent thermal conductivity of air. Thermal conductivity of air in this region depends on all 3 types of heat transfer. Radiation is from the enclosing material (Insulation material on inner side and steel on the outer side)
Conduction and Radiation can be modelled easily. But including the convective effects is little tricky. Ideally, whole of the system should be simulated with induced velocity. But including a lot of physics is making the computation tediously long.
Does anyone how to model this case? One way is to consider analytical Nusselt number correlations. But I do not know how to couple this correlation as my model is also dependant on radiation.
Thanks in advance.
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I reasoned by analogy of heat transfer in a plane air layer (e.g in double pane windows). At ambient temperature, convection starts at 2 cm (see attached file)
At higher temperatures however, this may change.
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Dear all
How can be activated the angle of magnetic field (γ) in FLUENT for convection heat transfer, as shown in Figure 1? step by step please.
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Following...
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Hi Everyone,
I am solving a simple heat transfer problem of pipe at a constant temperature. I want to find the heat loss to ambient using radiation and convection but show the following error.
An unknown error occurred during solution. Check the Solver Output on the Solution Information object for possible causes.
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It sounds like you're using some canned software package. This problem can easily be solved without any special software. You could do such a calculation in an Excel spreadsheet Q=UA(Tp-Ta)+εσ(Tp^4-Ta^4).
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Hi ,
I am doing a conduction and convection heat transfer analysis in a layered block. The middle layer emits heat flux which is transfered via conduction and convection to the top surface on both sides. I am getting the following error. Would anyone know what this means ?
 ***ERROR: STRESS - DISPLACEMENT ELEMENTS OR OTHER ELEMENTS WITHOUT TEMPERATURE             DEGREE OF FREEDOM ARE NOT ALLOWED IN A HEAT TRANSFER ANALYSIS
Many thanks for any help.
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assign the mesh geometry for heat transfer and not for 3D Stress
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In last 20 years, the single phase convection heat transfer studies of transitional and turbulent flow in noncircular ducts with asymmetrical heating are being attempted using numerical methods and CFD mostly without experimental verification of the results; an important shift from earlier experimental approach. I feel this requires thread bare discussion regarding accuracy of the results and other aspects.
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I quite agree, which is why students need experienced faculty to warn and coach them on such details. Even if the professor's experience is in a somewhat different area, there are still similar challenges in any experimental study. Another example of this problem: I know a professor who has published a dozen papers on nuclear reactor design yet has never set foot inside a nuclear plant. This is like giving a seminar on horseback riding yet having never actually touched a horse, let alone ridden one.
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Double-diffusive convection is a mixing process that occurs when two fluid components diffuse at different rates interact. Upwelling of nutrients and vertical heat and salt transport in oceans, for example.
Source:
Animasaun I. L. (2016). Double diffusive unsteady convective micropolar flow past a vertical porous plate moving through binary mixture using modified Boussinesq approximation. Ain Shams Engineering Journal 7(2), 755 – 765. http://dx.doi.org/10.1016/j.asej.2015.06.010
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do i need to apply temperature , convection and radiation loads all simultaneously or can i apply it by using temperature only?
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U can use these codes if u work on ANSYS APDL
/SOL
DELTIM,60,0,0
OUTRES,ERASE
OUTRES,ALL,ALL
KBC,0
TIME,7200
/SOLU
SOLVE
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It is shown that a comparison of the convection heat transfer coefficient of a thin water bearing fracture, αw, with the conduction heat transfer coefficient of the surrounding rock, αr, leads to a drastic αw >> αr difference, called α¬discrepance.It does follow that it is the rock, and not the water, which governs the heat transfer.
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This looks like a transient heat transfer problem being modelled as steady state one. The main debate issue on such problems is always the boundary conditions assumed to make the mathematics feasible: traditionally either constant temperature or constant heat flux were used, while neither is the real case.
Transient conduction into a semi-infinite solid is covered in Carslaw and Jaegers old, but excellent, book.
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Hi, Where can I find the solution manual of the book - An Introduction to Convective Heat Transfer Analysis? I searched on the internet, but couldn't find it. Thanks in advance.
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Shiron Thalagala Hi, did you find the solution manual. I urgently needed it and search the internet throughout.
Thanks
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I am trying to predict the temperature of the hot rolled steel section after cooling down from 1300 °C. My predicted temperature reached room temperature at 30 minutes, but journal prediction only came to room temperature at 150th minutes. I considered all input data as per the journal (DOI: 10.1061/(ASCE)ST.1943-541X.0001739). I am sceptical about modelling input parameters like convection and radiation interaction properties. I want to know where I made a mistake. Kindly help me with this. Please provide your valuable suggestions and, if possible, any input data support my study.
Note: I have attached my Abaqus file and my predicted result
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Thank you, Professor Simon Smith , I will try with 2D models. Then I will proceed with further mesh sensitivity study.
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I have brinjal line have trait for wilt resistant that identified by phenotypic data, than I go for cross them with wilt susceptible line, generate F1 and F2, BC1 BC2. based on chai square test and I know this a recessive resistant gene. but now want to know that trait governed by how many gene? how to know pattern of inheritance that gene? or any other method to prove and validate these trait is recessive resistant. finally after know about all genetics which breeding method I should preferred to integrate this trait in promising variety.
Note: I am convectional breeder so want more suggestion on convectional method and also i appreciate advance molecular breeding based suggestion, thank you ...
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Dear @Vekariya Rajesh For detailed genetic analysis, you should have 2-3 wilt resistant lines and equivalent number of wilt susceptible lines. Typically such lines should have distinct pedigree. In addition to what you have narrated, also make resistant to resistant and susceptible to susceptible crosses in order to rule out many a possibility. By analysing your phenotypic data, you can detect only such number of genes for which selected parents will differ. For the rest, I endorse what has been mentioned by @Narendra Kumar Singh.
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Hello,
I am trying to understand the method to calculate convective heat transfer and radiative heat transfer in comsol. The geometry is a simple rectangle (2D case). Two opposite sides are insulated and other two opposite sides have heat flux boundary condition with respective temperature and h values. Material selection is air.
I have surface to surface radiation model for radiation. The two sides which have heat flux boundary condition are selected as diffuse surface and emissivity values are defined.
When I look at the results convective and radiative heat transfers are zero. But the conductive heat flux has some value. I do not understand what is going in the calculation.
Can someone explain how to find these values?
Thank you.
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You need to add a fluid flow physics and couple the velocity field to the temperature field.
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Hello Everyone,
I am trying to model heat transfer between two coaxial cylindrical rods.
The outer rod is hollow and having the same inner diameter as of inner rod.
The thermal conductivity and coefficient of thermal expansion of outer rod are higher than inner rod, so there is possibility of gap between two rods at higher temperature (around 1000 deg Celsius)
The possible mode of heat transfer are conduction(when in contact), radiation and convection (when gap generated).
The inner rod is solid and is being heated with joule heating. I want to measure the temperature at the outer surface of outer rod.
Any ideas how to model this in star-ccm+ or in any cfd software? In software I can either model it as in contact or with some air gap. Don't know how to model both in same model.
Your suggestions are welcome.
Thank you
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It is too important to determine your model boundary conditions and the heat transfer mode that you will simulate. You can start with a 2D model and you can simulate using the COMSOL program.
Regards
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I am trying to model a diffusion process within a laminar flow. I want to plot Sherwood Number across my domain. What i try to do is expressing Sherwood Number as convective flux magnitude/diffusive flux magnitude all over the domain but the results seem to be wrong when compared to correlations. Can anyone suggest me another method to find Sherwood Number in COMSOL?
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This is quite difficult, first of all you need to calculate numerically the mass transfer coefficient which by the way depends on what you're looking at. If you do not want to pass through the formal definition and you want tu use fluxes, first of all check that COMSOL calculated fluxes are in agreement with the expected results. Most of time, mesh dependencies are found and this has to be avoided.
Regards
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I am working on mixed convection in an enclosure with inlet and outlet openings with Lattice Boltzmann method "LBM". in some "Re" my results have a good agreement with the other works. But when For example "Re" is 500, my results is different with the reference article. my question is: what should I do for high "Re" ? should I increase my Lattice or reduce inlet velocity? I did these changes but it didn't change my results as good as should be.
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Read this research carefully. I assure you that you will get the right answer.
PhD Thesis (English translation) : "Introducing a new and entropic kinetic model for simulating incompressible viscous flows"
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hi,
I am trying to simulate thrombus (clot) formation under blood flow, I have to solve the convective mass transfer to find the concentration of Red blood cells, by growing the clot the velocity profile will change. I am looking for a way to couple these equations to transfer data between them.
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Khalid B. Saleem Thanks for your answer. I tried to do it, but I was not successful. I am new on Anysy Fluent. But, as far as I know, species transport is not valid for blood flow. It is only valid for mixed flows which already has been defined on the fluent database. Am I wrong?