Rupal Srivastava- Doctor of Philosophy
- Lecturer at South East Technological University
Rupal Srivastava
- Doctor of Philosophy
- Lecturer at South East Technological University
Programme Director
About
17
Publications
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312
Citations
Introduction
Skills and Expertise
Current institution
Additional affiliations
June 2021 - present
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Description
- Science Foundation Ireland
May 2011 - July 2011
May 2010 - July 2010
Publications
Publications (17)
This study investigates the surface profile alterations of stainless-steel guidewires after cutting using two distinct cutting instruments: stainless steel and tungsten carbide-coated scissors. Guidewires are vital components in various medical procedures, including cardiovascular interventions and minimally invasive surgeries. It is essential to f...
In interventional cardiology and endovascular surgery, navigating tortuous and occluded vascular pathways presents a significant challenge. The “meet in the middle” magnetic guidewire navigation technique is a promising strategy to address this challenge. This innovative approach leverages the principles of magnetic attraction and repulsion to guid...
In the biomedical industry, research and application of shape memory polymers (SMP) have mainly been focused on drug-delivery implants, stents, orthopaedic devices, tissue engineering, and wound closure. Little focus has been given to using SMP as delivery catheters or access devices, which can benefit from greater flexibility and larger deformatio...
Conceptualization of the Smart Factory started with introducing the Industry 4.0 paradigm and its nine pillars, which it stands. The paradigm itself is automation and robot-centric focused, which means less and less involvement of the humans on the manufacturing shop floor. However, even robots and simulation aspects of the factories are the most c...
Ever since its discovery, the applications of Shape Memory Alloys (SMA) can be found across a range of application domains, from structural design to medical technology. This is based upon the unique and inherent characteristics such as thermal Shape Memory Effect (SME) and Superelasticity (or Pseudoelasticity). While thermal SME is used for shape...
One of the most promising technologies that is driving digitalization in several industries is Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical twin). What differentiates DT from simulation and other digital or CAD models is the automatic bidirectional exchange of data between digital and physical twins...
Unfortunately there was a mistake in the original article, the country in the second affiliation was wrong. Correct it should be.
Autonomous shape and vibration control of a structure expand its utility, thereby increasing the need for adaptive composites in the field of aerodynamics, civil, space, and mechanical engineering. One way to achieve this is by reinforcing composites with smart materials like shape memory alloy (SMA) wires or ribbons, piezoelectric (PZT) materials,...
In the context of Industry 4.0 and digital factory, digital twin technology is emerging as a key enabling technology to simulate, optimize, maintain, and predict processes and production systems. Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin), both interconnected via real-time data exchange. Conceptuall...
The class of metallic alloys that show the ability to memorize its shape at a specific temperature and recover large deformations on thermal activation are called Shape Memory Alloys (SMA). SMA wire-based Hybrid Composites (SMAHC) is a continuously emerging research area given their versatile applications within the domain of active shape morphing,...
![Schematic of SMA wire embedded composite [34], SMA is shown digitated...](profile/Bishakh-Bhattacharya/publication/346464214/figure/fig5/AS:11431281307368243@1738675949316/Schematic-of-SMA-wire-embedded-composite-34-SMA-is-shown-digitated-as-fabricated-for_Q320.jpg)
In this paper, thermoelastic and free vibration responses of hybrid Shape Memory Alloy (SMA) and E-glass fiber-reinforced composites are investigated using finite element analysis. We consider four composites for analysis and comparison of performances, (1) single layer SMA fiber-reinforced hybrid composite (unimorph SMAHC), (2) a two-layer (cross-...
With the advancement in the field of morphing and adaptive structures, there has been a tremendous increase in the application of such systems in the civil and aerospace engineering, especially wherever space constraint and variable operational environment demand frequent changes in system configuration. The control of stiffness and hence dynamic r...
Deployable structures are increasingly studied for their enormous potential of space application. In this paper, we report the fabrication and analysis of an Active Bimorph Structure (ABS) by evaluating the variation of the curvature and the tip-displacement of the top fiber layer with respect to the change in applied voltage. The composite showing...
In recent years, interests in the brain-machine interface (BMI) are continuously
increasing. Leading robotics companies in the industrial field have been seeking the
systematic and effective design method for providing human assist robots such as
rehabilitation supports and walking assistances. Recently humanoid robots are also
getting to be famili...
The paper is aimed at developing mechanical models of viscoelastic materials on the basis of vibration transmissibility studies. At present, viscoelastic materials are characterized experimentally using rheometers, which work very well in very low to low frequency range. At high frequency range, on the other hand, Dynamic Mechanical Thermal Analyze...
Questions
Questions (4)
For a multi-objective optimization using the NSGA II technique, I am getting two Pareto fronts when using single-variable and no constraints, and a cluster of Pareto regions when two variables are being considered. When do we get such Pareto fronts, and if not, then what could be a possible issue with the formulation.
Below you can see the Pareto Optimal graph for single variable MO- NSGA II.
PS: What if my objective functions are non-conflicting?
Thank you all in advance.
You can copy and paste it in Latex. I want to solve it analytically.
My RHS (g(t)) is known, I need to find f(\tau).
Thank you in advance.
I have 3 4th order non-linear Partial Differential Equations with three dependent variables and 2 independent variables. I have boundary conditions for 2 dependent variables. The problem is formulated when analysing a laminated composite structure. It is a steady-state analysis. Should I proceed with Navier's method/FEM/ or some other approach? I would appreciate suggestions. Thank you.
I get to these equations while solving a composite plate problem with zero load.
