Suraj Kumar

Heat transfer researcher with excellent experience in the field of electronics cooling, thermal design of the spacecraft, nuclear fuel element cooling, and battery thermal management using efficient inverse methods

EDUCATION

RESEARCH INTERESTS

Inverse heat transfer, Optimization of thermal energy systems, Machine learning, Thermal management of electronics and
battery

Scopus Publications

A novel approach to estimate the specific heat capacity and volumetric heat generation of AMP20M1HD-A Li-ion pouch battery using MH-MCMC Bayesian inverse methodology
Jithu J., Kasavajhula Naga Vasista, Suraj Kumar, Balaji Srinivasan, C. Balaji
Applied Thermal Engineering, 2025
A novel method to predict a local Nusselt number profile on the hemispherical surface under air jet impingement cooling
Suraj Kumar, Veerendra Kumar, B. Premachandran
Applied Thermal Engineering, 2025
An inverse methodology to estimate the orthotropic thermal conductivities of AMP20M1HD-A pouch-type Li-ion battery
Jithu J., Kasavajhula Naga Vasista, Suraj Kumar, Balaji Srinivasan, C. Balaji
International Journal of Heat and Mass Transfer, 2025
Bayesian inverse estimation of thermophysical and radiative properties of flame-retardant fabrics for enhanced thermal protection in fireproof clothing
Suraj Kumar, Bhavna Rajput, Apurba Das, Prabal Talukdar
Thermal Science and Engineering Progress, 2025
Accurate heat flux estimation in continuous casting Molds via MH-MCMC Bayesian Inverse Method
Suraj Kumar, Mohammad Tabish Siddiqui, Suvankar Ganguly, Prabal Talukdar
Applied Thermal Engineering, 2024
An inverse methodology to estimate the thermal properties and heat generation of a Li-ion battery
Suraj Kumar, Rajesh Akula, C. Balaji
Applied Thermal Engineering, 2024
Estimation of thermophysical properties of a pouch-type Li-ion battery using an inverse methodology
Jithu J, Kasavajhula Naga Vasista, Suraj Kumar, Balaji Srinivasan, C. Balaji
Journal of Physics Conference Series, 2024
The growing popularity of electric vehicles highlights the crucial role of batteries. Effective battery thermal management is crucial for improving performance, reliability, and safety, especially in tropical areas where overheating is a key challenge. This necessitates a comprehensive understanding of the thermophysical properties of batteries. The present study concerns the estimation of the temperature-dependent orthotropic thermophysical properties (kx , ky , kz , cp ) of the active material in a pouch-type Li-ion battery using an inverse methodology. An experimental study is conducted on a commercial AMP20M1HD-A Li-ion battery to measure the surface temperature at various locations using thermocouples. The forward model consists of the three-dimensional unsteady conduction problem and is solved in COMSOL using experimental boundary conditions. The data generated is used to train an Artificial Neural Network, which acts as a replacement for the forward model. The Metropolis Hasting-Markov Chain Monte Carlo algorithm along with the Bayesian inference inverse model is used for analyzing the posterior distribution and the average estimates for thermophysical properties are obtained. The temperature dependence study shows a significant correlation between temperature and battery thermophysical properties. The accuracy of the employed inverse model is validated by obtaining the surface temperature using the estimated thermophysical properties and comparing it with the measured surface temperature.
Systematic approach to estimate non-uniform heat generation rate in heat transfer problems using liquid crystal thermography and inverse methodology
Suraj Kumar, C. Balaji
Experimental Heat Transfer, 2023
Prediction of Orthotropic Thermal Conductivities Using Bayesian-Inference from Experiments under Vacuum Conditions
Suraj Kumar, Chakravarthy Balaji
Heat Transfer Engineering, 2023
Evaluating wear characteristics of self-lubricating composition for spools used in pneumatic valves
Sivashankari Palaniswamy, K. Ajaykumar, S. Harish Kumar, K. R. Kavitha, S. Prakash
Aip Conference Proceedings, 2020
Aluminum Composite materials are mainly used for the application of light weight material in many aspects, the main application is considered for the front and rear spools in automobile. Apart from automobile field it is also used in various structural application and valves of transportation. The Aluminum Composites is to increase the strength and life span of the components. Basically, Most of the Aluminum Alloy does not satisfactory wear resistance. The focus of this research paper is to select a suitable Aluminum Alloy and composition that compensates high strength, wear resistance, and self-lubricating property. It is noted that spools are manufactured by using stainless steel which are more weight when compared to Aluminum alloy. Aluminum Alloy is reinforced with the composite material Molybdenum-Di-Sulphide which has a low friction, very good self-lubrication system in it. In this work, influence of Molybdenum-Di-Sulphide (MoS2) is added to increase the performance of the spools using Aluminum Alloy-7075 was studied. Stir casting technique is used to fabricate the hybrid composite with AA7075 with Molybdenum-Di-Sulphide (MoS2) at varying weight fractions such as 3%, 6% and 9% for improving wear properties. The Mechanical characteristics and Wear characteristics are analyzed to prove the strength and life span of the material composition. The wear and friction tests yield good results at higher sliding speed, low load and high composition. The main motive of this project is to increase the wear resistance and life time of the spools.
A novel method to detect hot spots and estimate strengths of discrete heat sources using liquid crystal thermography
Suraj Kumar, Pradeep S. Jakkareddy, C. Balaji
International Journal of Thermal Sciences, 2020
Design and thermal validation of four wheeler disc brake using different material
International Journal of Innovative Technology and Exploring Engineering, 2019
Computational analysis of aerodynamic characteristics of dimple airfoil NACA 2412 at various angles of attack
International Journal of Mechanical Engineering and Technology, 2018
A Markov Chain Monte Carlo-Metropolis Hastings Approach for the Simultaneous Estimation of Heat Generation and Heat Transfer Coefficient from a Teflon Cylinder
Harsha Kumar, Sharath Kumar, Nagarajan Gnanasekaran, Chakravarthy Balaji
Heat Transfer Engineering, 2018
A neural network based method for estimation of heat generation from a teflon cylinder
Nagarajan NagarajanGnanasekaran, Sharath Kumar, Harsha Kumar
Frontiers in Heat and Mass Transfer, 2016
Synergestic approach for the simultaneous estimation of heat transfer coefficient and heat flux using fin from steady state heat transfer experiments
Harsha Kumar, Sharath Kumar, K. Srinivasa Sagar, Gnanasekaran N.
International Symposium on Advances in Computational Heat Transfer, 2015