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Mechanical and Aerospace Engineering
India
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
56
Citations
9810
World Ranking
869
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in India Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in India Leader Award

Overview

Surjya K. Pal is affiliated with the Indian Institute of Technology Kharagpur in India and has a research profile primarily situated within the field of Engineering. Their work spans several subfields including Mechanical Engineering, Industrial and Manufacturing Engineering, Materials Chemistry, Mechanics of Materials, and Electrical and Electronic Engineering.

Their research focuses on a range of topics related to manufacturing processes and materials science. Key topics include:

  • Advanced Welding Techniques Analysis
  • Aluminum Alloys Composites Properties
  • Welding Techniques and Residual Stresses
  • Metal Forming Simulation Techniques
  • Digital Transformation in Industry
  • Aluminum Alloy Microstructure Properties
  • Manufacturing Process and Optimization

Frequent publication venues for Surjya K. Pal's research output include:

  • CIRP Journal of Manufacturing Science and Technology
  • Journal of Manufacturing Processes
  • Materials Chemistry and Physics
  • The International Journal of Advanced Manufacturing Technology
  • Materials and Manufacturing Processes

Surjya K. Pal has collaborated notably with several co-authors, including:

  • Debasish Mishra
  • Debashish Chakravarty
  • Omkar Mypati
  • Arpan Pal
  • Ananta Dutta

The scientist has contributed to multiple recent articles. Representative papers include:

  • "Digital twin: current scenario and a case study on a manufacturing process" (2020, The International Journal of Advanced Manufacturing Technology)
  • "A study on the influence of substrate pre-heating on mitigation of cracks in direct metal laser deposition of NiCrSiBC-60%WC ceramic coating on Inconel 718" (2020, Surface and Coatings Technology)
  • "Real time monitoring and control of friction stir welding process using multiple sensors" (2020, CIRP Journal of Manufacturing Science and Technology)
  • "Characterization of structural transformation of graphene oxide to reduced graphene oxide during thermal annealing" (2020, Journal of Materials Research/Pratt's Guide to Venture Capital Sources)
  • "Characterizations of weld defects, intermetallic compounds and mechanical properties of friction stir lap welded dissimilar alloys" (2020, Materials Characterization)

In addition to journal articles, Surjya K. Pal has authored book publications. Notably, they contributed to a book titled Digital Twin - Fundamental Concepts to Applications in Advanced Manufacturing, published by Springer International Publishing in 2021.

Best Publications

  • Direct growth of aligned carbon nanotubes on bulk metals

    S. Talapatra;S. Kar;S. K. Pal;R. Vajtai

  • Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II

    Debabrata Mandal;Surjya K. Pal;Partha Saha

  • Thermal reduction of graphene oxide: How temperature influences purity

    Iman Sengupta;Samarshi Chakraborty;Monikangkana Talukdar;Surjya K. Pal

  • Application of digital image processing in tool condition monitoring: A review

    S. Dutta;S.K. Pal;S. Mukhopadhyay;R. Sen

  • Effect of Pulse Parameters on Weld Quality in Pulsed Gas Metal Arc Welding: A Review

    Kamal Pal;Surjya K. Pal

  • Bactericidal effect of graphene oxide and reduced graphene oxide: Influence of shape of bacteria

    Iman Sengupta;Proma Bhattacharya;Monikangkana Talukdar;Sudarsan Neogi

  • Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals

    Sukhomay Pal;Surjya K. Pal;Arun K. Samantaray

  • Influence of plate position, tool offset and tool rotational speed on mechanical properties and microstructures of dissimilar Al/Cu friction stir welding joints

    Prakash Kumar Sahu;Sukhomay Pal;Surjya K. Pal;Rahul Jain

  • A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0

    Debasish Mishra;Rohan Basu Roy;Samik Dutta;Surjya K. Pal

  • Flank wear prediction in drilling using back propagation neural network and radial basis function network

    S. S. Panda;D. Chakraborty;S. K. Pal

  • Soft computing models based prediction of cutting speed and surface roughness in wire electro-discharge machining of tungsten carbide cobalt composite

    Probir Saha;Abhijit Singha;Surjya K. Pal;Partha Saha

  • A study on the variation of forces and temperature in a friction stir welding process: A finite element approach

    Rahul Jain;Surjya K. Pal;Shiv B. Singh

  • Surface roughness prediction in turning using artificial neural network

    Unknown

  • Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique

    S. Dutta;A. Datta;N. Das Chakladar;S.K. Pal

  • Friction stir processing of Al6061-SiC-graphite hybrid surface composites

    Abhishek Sharma;Vyas Mani Sharma;Sanchit Mewar;Surjya Kanta Pal

  • Classification and identification of surface defects in friction stir welding: An image processing approach

    Ravi Ranjan;Aaquib Reza Khan;Chirag Parikh;Rahul Jain

  • On-machine tool prediction of flank wear from machined surface images using texture analyses and support vector regression

    Samik Dutta;Surjya K. Pal;Ranjan Sen

  • Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding

    Kamal Pal;Sandip Bhattacharya;Surjya K. Pal

  • Modeling of defects in friction stir welding using coupled Eulerian and Lagrangian method

    Prashant Chauhan;Rahul Jain;Surjya K. Pal;Shiv B. Singh

  • Drill wear monitoring using back propagation neural network

    S.S. Panda;A.K. Singh;D. Chakraborty;S.K. Pal

  • Digital twin: current scenario and a case study on a manufacturing process

    Rohan Basu Roy;Debasish Mishra;Surjya K. Pal;Tapas Chakravarty

  • Silicon—a new substrate for GaN growth

    S. Pal;C. Jacob

  • Predicting drill wear using an artificial neural network

    A.K. Singh;S.S. Panda;D. Chakraborty;S.K. Pal

Frequent Co-Authors

Sudipto Chakraborty
Sudipto Chakraborty Georgia Institute of Technology
Arun Kumar Samantaray
Arun Kumar Samantaray Indian Institute of Technology Kharagpur
Karali Patra
Karali Patra Indian Institute of Technology Patna
Derek A. Linkens
Derek A. Linkens University of Sheffield
Karabi Das
Karabi Das Indian Institute of Technology Kharagpur
Jyotsna Dutta Majumdar
Jyotsna Dutta Majumdar Indian Institute of Technology Kharagpur
Esther T. Akinlabi
Esther T. Akinlabi University of Johannesburg
Sudip Misra
Sudip Misra Indian Institute of Technology Kharagpur
Ajoy Kumar Ray
Ajoy Kumar Ray Indian Institute of Technology Kharagpur
Harpreet Singh
Harpreet Singh Indian Institute of Technology Ropar

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