Dr. Snehanshu Pal is currently working as an Associate Professor in the Department of Metallurgy and Materials Engineering of Indian Institute of Engineering Science and Technology Shibpur. He has worked as a faculty at Metallurgical and Materials Engineering department of National Institute of Technology (NIT), Rourkela, for nine (9) years and six (6) months. He has served as a Post-doctoral Fellow in the Department of Materials Science and Engineering, the Pennsylvania State University, USA. He received his Ph.D. in Metallurgical and Materials Engineering from the Indian Institute of Technology, Kharagpur, India, in 2013. He has more than three (3) years of Industrial working experience in a integrated steel plant, Rourkela Steel Plant, Steel Authority of India Limited, (SAIL, India). He has published more than one hundred and sixteen (116) high-impact research articles in internationally reputed SCI indexed journals. He has supervised Eleven (11) doctoral (Ph.D.) theses , sixteen (16) master (M. Tech) theses and twenty one (21) undergraduate (B. Tech) theses. He is an investigator of five (5) sponsored research projects and two (2) industrial projects. He is author of three (3) technical books and editor of one (1) techniical book . He has active research collaborations with esteemed universities across the globe (such as the University of Florida (USA), the University of Manitoba (Canada), Université Lille (France), National University of Signapore and the National Academy of Science of Belarus). In addition, Dr. Snehanshu Pal is associated with various esteemed technical and scientific societies such as Indian Institute of Metals and Indian Institute of Engineers.
Post-doctoral Research, the Department of Materials Science and Engineering, the Pennsylvania State University, USA.
Ph.D. Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, India, Research Topic: Atomistic Simulations of Methane Hydrates and Inhibitor Design
B.E. Metallurgy and Materials Engineering, First Division, Bengal Engineering college (Deemed University), Shibpore, Howrah, India (currently known as Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India).
Computational Materials Engineering and Process Modelling are fast growing areas in the field of Materials Engineering. Our group is dedicated to (1) explore and understand basic metallurgical and materials related phenomena using multiscale-multiphysics based simulation techniques (2) address industrial problems using different physics based modeling techniques via integrating with artificial intelligence.The ongoing research is broadly classified into the following domains:
1. Atomistic Modeling of Materials : Design and development of application specific new functional materials based on the outcome of simulation studies at atomic level.
This includes: Molecular Dynamics based study of deformation behavior of material at nanoscale. Density Functional based study for designing application specific material.
2.Process Modelling and Manufacturing Informatics : Statistical, Machine Learning Based Modeling and Computational Fluid Dynamics (CFD) modelling of a metallurgical process to optimise the process parameters.This includes: Computer Modelling of Welding Process, Continuous Casting Process of Steel, Argon Oxygen Decarburization (AOD) proces modeling, Basic Oxygen Steel Making Process Modeling, Data Driven Modeling Based Prediction of Properties of Slag.
3. Materials Informatics: This includes: Structural Prediction of Multi Principal Element Alloys using Machine Learning Approches and Feasibility Study of High Entropy Alloys as Hydrogen Storage Materials using Machine Learning Approches
Research:
Molecular Dynamics Simulation Based Study for Creep Deformation Behaviour of Nanocrystalline Nickel and Nickel-Zirconium Alloys
Research:
Molecular Dynamics Simulation Of Deformation Behaviour During Nanoscale Rolling
Research:
Molecular Dynamics Simulation of nano indentation deformation of high entropy alloy coated FCC metals
Research:
Molecular dynamics simulation of deformation Behavior of nanocrystalline Al and CNT reinforced nanocrystalline Al nanocomposites
Research:
The effect of shock wave, moisture and sea water on de-bonding of multilayer in FRP composite systems experimental and multi-scale modeling based investigation
Research:
Molecular Dynamics based investigation of glass formation mechanism, deformation behaviour and shock response of Al90Sm10 metallic glass
Research:
Atomistic Modeling of deformation behaviour of Nickel based binary alloy
Research:
Atomistic Simulation of deformation behavior for bi-crystal having low angle grain boundary
Research:
Optimizing Steel Making Process parameters in Steel Melting Shop
Research:
Deformation behavior of high entropy alloy
Research:
Design of new Chelating Ligand for better extraction of rare earth elements.
Research:
Optimizing minor constituents in blast slag to operate 19-22 % slag Alumina using material informatics approach
Research:
Evaluation of structural properties and thermoelectric properties of quaternary oxides.
Research:
Investigation of molecular interaction of protein with hydroxyapatite surface using atomistic scale computational modelling technique.
Research:
Molecular Dynamics Simulations of Mechanical Behavior of Magnesium during Nanoindentation and Ballistic Penetration
Research:
Molecular Dynamic Simulation of Nano Scale Friction Stir Welding
Research:
Modelling of trajectory of steel droplet and determination of residence time in slag during steel refining process using CFD
Research:
Modeling of solidification process and estimation of carbon segregation occurred during secondary cooling stage of continuous casting process of plain carbon steel
Research:
Optimization of ferrochrome addition using multiobjective evolutionary and Genetic Algorithms for stainless steel making via AOD converter
Research:
Mechanical performance evaluation of woven and unidirectional GFRP composite through numerical simulation
Research:
Finite Element Analysis for adhesive bonding strength of steel and FRP composite joint
Research:
Prediction of microstructure for heat treatment process in dual phase steels using Cellular Automata
Research:
Mathematical modelling of Basic Oxygen Steel making process
Research:
Dynamic process modeling of stainless steel making through AOD converter
Research:
The influence of chromium amount, casting speed and superheat on the columnar to equiaxed transition and metallurgical length for continuously cast ferritic stainless steels
Research:
Computational Fluid Dynamic (CFD) simulation for continuous casting process of steels
Google Scholar | ||
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CITATION | H-INDEX | I-10 INDEX |
1513 | 19 | 58 |
Research Gate | ||
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PUBLICATIONS | CITATION | H-INDEX |
187 | 1361 | 18 |
Scopus | ||
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DOCUMENTS | CITATION | H-INDEX |
141 | 1181 | 18 |
Created: 23 November 2019