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Briels den Otter Ilie Giani Ahuja Metri
Vishal Ahuja

Vishal Ahuja

PhD student

room Carré 4037
phone +31 (0)53 489 3544
fax +31 (0)53 489 2799
e-mail v.r.ahuja@utwente.nl
Vishal Ahuja

Background

Vishal Ahuja graduated from the Institute of Chemical Technology, Mumbai (ICT Mumbai) with a Bachelors degree in Chemical Engineering (B.Chem.Engg.) in 2011. While studying at this institute, he appeared for the Graduate's Aptitude Test in Engineering (GATE) in 2010 and obtained an All-India-Rank 4 in Chemical Engineering, which enabled him to obtain admission at the Indian Institute of Technology - Bombay (IIT Bombay) to pursue a Master's degree in Chemical Engineering. At IIT Bombay, under the supervision of Prof. Sanjay Mahajani, he completed his research project for his Master's Thesis on selectivity engineering using reactive distillation. While studying at IIT Bombay, he also worked as a teaching assistant for a couple of courses on Probability and Statistics and a course on Chemical Engineering Design. He graduated from IIT Bombay in 2013 with a Master's degree (M.Tech.) in Chemical Engineering, following which he joined the Computational BioPhysics group as a PhD student in September 2013.

Current research

He is working on a PhD research project under the supervision of Prof. Wim Briels and Prof. Jasper van der Gucht from the Physical Chemistry and Soft Matter group of the Wageningen University. This work is part of the Industrial Partnership Programme (IPP) 'Computational sciences for energy research' of the Foundation for Fundamental Research on Matter (FOM), which is part of the Netherlands Organisation for Scientific Research (NWO). This research programme is co-financed by Shell Global Solutions International B.V. The goal of his research is to develop a particle-based simulation technique for studying flow of complex non-Newtonian fluids through porous media. A better understanding of the mechanism can be helpful for a variety of applications including improving the efficiency of polymer flooding in Enhanced Oil Recovery.

He is developing a model for simulating flow of highly frictional soft matter fluids which is based on a Galilean invariant, first order Brownian dynamics algorithm for coarse-grained simulations of soft matter systems where friction offered to the coarse-grain motion is calculated relative to a moving background. The motion of the background fluid is calculated effectively by spatio-temporally averaging the velocities in the neighbourhood of the coarse-grain coordinates. Thus, the motion of the coarse-grain coordinates and that of the background fluid is coupled with each other. The background velocity is updated in a manner that conserves momentum and the properties of the stochastic updates have been calculated theoretically. He is exploring the effect of various parameters of the model and comparing simulations with theory. He is also working on extending this model for flow through confined geometries, where appropriate boundary conditions are satisfied at the fluid-solid interfaces.

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