
Manuel Martinez del Alamo- PhD
- Researcher at Eurecat
Manuel Martinez del Alamo
- PhD
- Researcher at Eurecat
About
17
Publications
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Introduction
Expertise in Computational Fluid Dynamics. Currently working on different topics: pollutant dispersion, water distribution networks, phase precipitation modelling and numerical simulations of industrial processes.
Current institution
Publications
Publications (17)
The present work studies numerically the concentration distributions of long flexible fibers in two analytical flow fields. Fibers are modeled as a set of rigid cylinders, resulting in a continuous flexible fiber. Forces are applied to the center of mass of each cylinder, thus determining cylinder motion and fiber deformation using a fourth-order R...
Turbulent diffusion dominates mixing at high molecular Schmidt numbers. When solving the Reynolds averaged Navier-Stokes equations, one of the key parameters for the correct simulation of mixing is the turbulent Schmidt number (Sct). In the case of the k-e turbulence model, many CFD packages suggest a value of 0.7 for Sct. However, it has been demo...
Numerical simulations of the isothermal two-phase flow distribution in the packed bed of a reactor used for fuel hydrodesulfurization using the commercial software Fluent are reported. As a first step, the heat and mass transfer as well as the chemical reactions are not taken into account. The reactor considered has, above the bed, a distribution t...
The quality of the drinking water distributed through the networks has become the main concern of most operators. This work focuses on one of the most important variables of the drinking water distribution networks (WDN) that use disinfection, chlorine. This powerful disinfectant must be dosed carefully in order to reduce disinfection byproducts (D...
The present work analyzes numerical simulations of long flexible fibers in two-dimensional flows. The focus is on the frequency at which caustics occur and the characterization of the collisions among fibers. The continuous flexible fibers are modeled as a set of connected rigid cylinders, where forces are applied to the center of mass of each cyli...
Numerical simulations of long flexible fibers are presented for two-dimensional flows, focusing on the frequency at which caustics occur and the collisions between fibers. Both phenomena are also related to clustering. The steady analytical velocity fields correspond to the Arnold-Beltrami-Childress flows. A wide range of Stokes (St) numbers are us...
The numerical prediction of mass transfer rates of gas components within the liquid phase in a stirred two-phase flow reactor is presented. Experiments have been conducted to determine the flow regime and the number and sizes of the bubbles formed under different conditions. The dynamic field of the two-phase flow was obtained through numerical sim...
Numerical simulations of long flexible fibers are performed in two-dimensional analytical flow fields. The fibers are modelled as a set of rigid segments, with relative motion of segments providing the fiber with flexibility. Forces are applied to the mass center of each segment, and the numerical model ensures fiber continuity and conservation of...
The relationship between caustics formation and clustering for flexible fibers with high aspect ratio in two-dimensional flow fields is studied through numerical simulation. The fibers are modeled as a set of rigid cylinders, thus providing flexibility to the fiber. Forces are applied to the center of mass of each cylinder, determining cylinder mot...
This study presents the numerical prediction of the mass transfer rates of hydrogen and carbon monoxide within the liquid phase in a small-scale stirred tank reactor for large rotation rates. A transparent model of the reactor has been used to carry out experiments in order to determine the flow regime and the number and the sizes of the bubbles fo...
This work presents a numerical method to compute the multiphase flow with phase change in a wall-heated pipe. The volume fractions and velocities of the three different phases (gas, liquid and solid) and the common temperature and pressure are computed along the pipeline. The line, where multiple heating jackets are installed, is fed with a liquid-...
Turbulent diffusion dominates mixing at high molecular Schmidt numbers. When solving the Reynolds averaged Navier-Stokes equations, one of the key parameters for the correct simulation of mixing is the turbulent Schmidt number (Sct). In the case of the k-ϵ turbulence model, many CFD packages suggest a value of 0.7 for Sct. However, it has been demo...
Two-phase flow distribution in a trickle-bed reactor used for fuel hydrodesulfuration has been simulated using the commercial finite volume code Fluent. After checking the performance and modelization capabilities of the different models available in the code, a three-phase model was chosen, considering the particles of catalyst as a granular stati...