AB

Aasheesh Bajpai

Indian Institute of Technology Kanpur, Indian Institute of Technology Kharagpur

ORCID iD 0000-0003-4767-0936
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About

I am currently working as a prime minister research fellow at the Department of Aerospace Engineering at Indian Institute of Technology Kanpur, Kanpur (U.P.), India.

Before moving to Kanpur, I worked as a research assistant at IIT Kharagpur, West Bengal, India. My appointment as PMRF was possible through research opportunity I got during my time at the lab, I worked on enhancing exergetic efficiency of hydrogen liquefaction plant, because turboexpander is heart of any liquefaction plant we worked towards enhance the efficiency of turboexpanders and it enhanced the overall efficiency of process.

I am pursuing my doctoral studies under the guidance of Professor Rakesh Kumar Mathpal, in the non-equillibrium flow simulation laboratory(NFSL), IIT Kanpur. My research is on developing a coupled DSMC-DEM (Direct Simulation Monte Carlo -Discrete Element Method) framework for dusty gas flow simulation and analyzing the basic physics understanding behind lunar landing. In any space exploration mission during planetary descent, when a lander approaches towards the surface of an extraterrestrial body, the expanded supersonic plume from the nozzle exhaust of positioning rockets impinges on the planetary body's soil or regolith, and interaction between plume and surface occurs. This high-speed and high-temperature plume produces a shock, fluidizes, and ejects granular particles from a surface. This creates one or more craters, and as a result, soil particles gain momentum. Consequently, this ejected matter would disperse dust and larger debris. The particles that are so dispersed have the potential to do severe damage. The present work aims to develop a high-fidelity simulation framework capable of modeling dusty gas flows encountered during plume surface interactions. The research work aims at performing dusty gas flow dynamics using a particle-based Lagrangian-Lagrangian computational framework. The solver that is developed for dusty gas flows is by coupling the in-house DSMC flow solver with the in-house DEM solver. Along with that I have also developed a CFD-DEM coupled solver for continuum applications along with my group in OpenFoam platform. This solver is used to calculate the crater diameter during lunar landing and shock particle interactions. The solver is a dusty gas flow solver which is well verified for supersonic dusty gas flows and have been used for applications like dusty gas flow over a cylinder and shock granular particle curtain interactions in shock tube.

In my previous academic pursuit, I was enrolled as a Masters student in the Process Equipment & Design Laboratory (PED lab) at the Indian Institute of Technology Kharagpur. My research primarily centered around the development of a Reverse Brayton Cryocooler (RBC) tailored for cooling high-temperature superconducting (HTS) cables. I worked under the guidance of Professor Parthasarathi Ghosh towards my thesis on "Development of test rig towards experimental investigation of Reverse Brayton Cryocooler used for cooling of High Temperature Superconductors". During this period, I played a pivotal role in the conversion of a decommissioned helium liquifier into a Reverse Brayton cryocooler. In this work we utilised heat exchangers and turboexpanders of helium liquifier to build a RBC for HTS cooling. Specifically, I was responsible for estimating the parameters of all heat exchangers and building a test rig for the cryogenic turboexpander. Prior to pursuing postgraduate studies, I successfully completed my Mechanical Engineering from AKG Engineering College (AKTU, Lucknow), Ghaziabad, Uttar Pradesh .

Employment

  • Indian Institute of Technology Kanpur FARE postdoctoral Fellow
    2025 - Present

Education

  • Indian Institute of Technology Kanpur Ph.D.
    2020 - 2024
  • Indian Institute of Technology Kharagpur Master of Technology
    2017 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (10)