Pre-loader

Suman Guha

About


I am currently serving as an Assistant Professor in Metallurgy and Materials Engineering at the Indian Institute of Engineering Science & Technology, Shibpur.

In my previous role, I held the position of Principal Researcher at the Product Application Research Group, R&D, within Tata Steel Limited, Jamshedpur, spanning the period from 2015 to 2023. My research primarily focused on the micromechanical modeling of deformation in steels tailored for automotive and diverse applications. Additionally, I spearheaded projects dedicated to the development of advanced forming technology for sheet metal forming, resulting in the submission of 8 national and international patents, with 3 successfully granted. Recently I have initiated research extended to exploring the integration of machine learning applications in computational mechanics, contributing to cutting-edge advancements in the field.

Before my industry engagement, I served as a Research Associate in the Department of Engineering at the University of Cambridge. Within the Materials Engineering Group, I collaborated closely with the esteemed Prof. Norman Fleck and Prof. Vikram Deshpande, delving into computational research to enhance our understanding of fracture mechanisms in metals.

My academic journey culminated in the successful completion of a Ph.D. in Materials Science and Engineering from the Indian Institute of Technology Kanpur in 2013. Under the expert guidance of Prof. Sumit Basu and Prof. Sandeep Sangal, I focused my research on computational mechanics, contributing significantly to the evolving landscape of materials science and engineering.

Throughout my career, I have maintained an unyielding commitment to pushing the boundaries of knowledge in my field. By seamlessly integrating academic expertise with practical applications, my aim is to make meaningful contributions to the dynamic and ever-evolving realms of materials science and engineering.

Academic Qualifications


Research Statement


Research Areas

  • Computational plasticity - Modeling plasticity in metals - Finite element simulation
  • Sheet metal forming - Formability
  • Fatigue in metals
  • Application of machine learning in metal plasticity

Applications from enthusiastic and motivated candidates interested in pursuing a doctoral degree are invited.

Latest Publications


  • 1 Arunabha M. Roy and Suman Guha, A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity, 122, 106049, Engineering Applications of Artificial Intelligence, 2023
  • 2 Suman Guha, Investigation of the mechanical response of a micro-textured surface using a higher order strain gradient plasticity theory., 47, 137, SADHANA, 2022
  • 3 Subrahmanyam Adabala and Shivaprasad Cherukupally and Suman Guha and Raju D.V and Rahul K. Verma and Venkata Reddy N, Importance of machine compliance to quantify electro-plastic effect in electric pulse aided testing: An experimental and numerical study, 75, 268-279, Journal of Manufacturing Processes, 2022
  • 4 Suman Guha and Vikram Deshpande and Norman Fleck, Flaw sensitivity in rate-sensitive high strength alloys: An assessment and future research directions, 10, 70-77, Extreme Mechanics Letters, 2017
  • 5 Suman Guha, Sandeep Sangal, Sumit Basu, A review of higher order strain gradient theories of plasticity: Origins, thermodynamics and connections with dislocation mechanics., 40, 1205-1240, SADHANA, 2015
  • 6 Suman Guha, Sandeep Sangal, Sumit Basu, On the fracture of small samples under higher order strain gradient plasticity., 187, 213–226, International Journal of Fracture, 2014
  • 7 Suman Guha, Sandeep Sangal, Sumit Basu, Numerical investigations of flat punch molding using a higher order strain gradient plasticity theory, 7, 459–467, International Journal of Materials Forming, 2014
  • 8 Suman Guha and Sandeep Sangal and Sumit Basu, Finite Element studies on indentation size effect using a higher order strain gradient theory, 50, 863-875, International Journal of Solids and Structures, 2013
  • View More

    Research Areas


    • Machine learning models for metal plasticity
    • Novel sheet metal forming technology
    • Computational mechanics and FEA

    Publications


  • 1 Arunabha M. Roy and Suman Guha, A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity, 122, 106049, Engineering Applications of Artificial Intelligence, 2023
  • 2 Suman Guha, Investigation of the mechanical response of a micro-textured surface using a higher order strain gradient plasticity theory., 47, 137, SADHANA, 2022
  • 3 Subrahmanyam Adabala and Shivaprasad Cherukupally and Suman Guha and Raju D.V and Rahul K. Verma and Venkata Reddy N, Importance of machine compliance to quantify electro-plastic effect in electric pulse aided testing: An experimental and numerical study, 75, 268-279, Journal of Manufacturing Processes, 2022
  • 4 Suman Guha and Vikram Deshpande and Norman Fleck, Flaw sensitivity in rate-sensitive high strength alloys: An assessment and future research directions, 10, 70-77, Extreme Mechanics Letters, 2017
  • 5 Suman Guha, Sandeep Sangal, Sumit Basu, A review of higher order strain gradient theories of plasticity: Origins, thermodynamics and connections with dislocation mechanics., 40, 1205-1240, SADHANA, 2015 6 Suman Guha, Sandeep Sangal, Sumit Basu, On the fracture of small samples under higher order strain gradient plasticity., 187, 213–226, International Journal of Fracture, 2014 7 Suman Guha, Sandeep Sangal, Sumit Basu, Numerical investigations of flat punch molding using a higher order strain gradient plasticity theory, 7, 459–467, International Journal of Materials Forming, 2014
  • 8 Suman Guha and Sandeep Sangal and Sumit Basu, Finite Element studies on indentation size effect using a higher order strain gradient theory, 50, 863-875, International Journal of Solids and Structures, 2013
  • Patents


    # Patents Year
    1 A SYSTEM FOR A SHEET METALWORKING AND A PROCESS THEREOF 2023
    2 A REINFORCEMENT MEMBER FOR AVEHICLE 2023
    3 A METHOD FOR IMPROVING YIELD STRENGTH OF A WORKPIECE, AN APPARATUS AND A WORKPIECE THEREOF 2021
    4 A METHOD FOR IMPROVING YIELD STRENGTH OF A WORKPIECE, AN APPARATUS AND A WORKPIECE THEREOF 2021
    5 METHOD FOR IMPROVING FATIGUE STRENGTH OF A WORKPIECE AND THE WORKPIECE THEREOF 2022
    6 A method for improving yield strength of a workpiece, an apparatus and a workpiece thereof 2019

    Created: 23 November 2019