Imperial College London

Dr Jorge Avalos-Patiño

Faculty of EngineeringDepartment of Earth Science & Engineering

Research Associate
 
 
 
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Contact

 

j.avalos-patino17

 
 
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Location

 

2.45CRoyal School of MinesSouth Kensington Campus

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Summary

 

Summary

I am a post-doctoral research associate in the Advanced Minerals Processing Research Group (AMPRG), where I work on numerical models for industrial applications. Currently, my research focuses on the development of methods for modelling multi-phase flow.

I hold a BSc in Mechanical Engineering from Universidad EAFIT (Colombia), a Master’s degree in Technology Management from Universidad Pontificia Bolivariana (Colombia) and a PhD in Computational Physics from Imperial College London (United Kingdom). Additionally, I have over 10 years of experience in industry, focused in R&D projects for product development and process improvement for food manufacturing. This experience has motivated me to focus my research on industrial applications. This can be clearly seen on my PhD project which involved the development of the methods and models required to address the challenges of modelling a real industrial problem, resulting in the first CFD model of a continuous tunnel oven.


Research Interests



My main research interests focus on Computational Fluid Dynamics, including multi-phase flow, turbulence modelling, radiative transport and coupled fluid flow-heat transfer. This involves the development and of models and methods under different numerical frameworks, including finite elements method, finite volumes method, smoothed particle hydrodynamics and discrete elements method.

Publications

Journals

Avalos-Patiño JE, Neethling SJ, Piggott MD, 2023, A parameter-free LES model for anisotropic mesh adaptivity, Computer Methods in Applied Mechanics and Engineering, Vol:416, ISSN:0045-7825, Pages:1-25

Avalos Patino J, Dargaville S, Neethling S, et al., 2021, Impact of inhomogeneous unsteady participating media in a coupled convection-radiation system using finite element based methods, International Journal of Heat and Mass Transfer, Vol:176, ISSN:0017-9310, Pages:1-16

More Publications