Dr. M. K. Pradhan

@nitrr.ac.in

Associate Professor, Department of Mechanical Engineering
National Institute of Technology, Raipur, (An Institute of National Importance, under MHRD, Govt. of India) India. Pin- 462 003

Dr. M. K. Pradhan
Dr. M. K. Pradhan, Associate Professor, Department of Mechanical Engineering, National Institute of Technology, Raipur (An Institute of National Importance). Prior to this, he was working as Assistant Professor, Grade-1, in the Department of Mechanical, Maulana Azad National Institute of Technology, Bhopal (An Institute of National Importance). He has completed his PhD., from National Institute of Technology, Rourkela his research topic was “Experimental Investigation and Modelling of Surface Integrity, Accuracy and Productivity Aspect in EDM of AISID2 Steel” in 2010. Prior to this, after completing M.E from NIT Rourkela in the year 1999. He is currently head of Metrology and Measurement Lab and CAM Lab., and was Head of Workshop and Production Engineering Lab. of the Maulana Azad National Institute of Technology, Bhopal, India. He teaches metrology, tool engineering, metal forming, theory of plasticity, design, and manufacturing subjects. He has over 25 years of teaching and research

EDUCATION

PhD (Mechanical Engineering)

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Multidisciplinary, Industrial and Manufacturing Engineering, Museology
100

Scopus Publications

2431

Scholar Citations

25

Scholar h-index

57

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Comparative analysis of rotary and stationary tool EDM for improved machinability of Inconel 825
    A Kumar, S Kumar, MK Pradhan
    Journal of Mechanical Science and Technology 40 (4), 2919-2931 , 2026
    2026
  • Manufacturing in the Digital Age
    MK Pradhan, MU Gaikwad, S Ragavanantham
    CRC Press 2385 NW Executive Center Drive, Suite 320, Boca Raton FL 33431 1 … , 2025
    2025
  • Introduction to Manufacturing in the Digital Age
    MK Pradhan, S Mahana, JP Davim
    Manufacturing in the Digital Age, 1-30 , 2025
    2025
  • Sustainable Manufacturing Practices in the Digital Age
    A Kumar, MK Pradhan, VP Singh
    Manufacturing in the Digital Age, 104-116 , 2025
    2025
  • Machine Learning-Driven Regression Modelling and RSM-Based Experimental Analysis
    P Yadav, MK Pradhan, V Gaharwal, S Mahana
    International Mechanical Engineering Congress and Exposition-India 89145 … , 2025
    2025
  • Optimization of Micro-Milling Parameters for Python Skin-Inspired Biomimetic Micro-Textures: An Experimental Study
    S Mahana, MK Pradhan
    International Mechanical Engineering Congress and Exposition-India 89145 … , 2025
    2025
  • Enhancing EDM Performance of Inconel 825 alloy using the rotary EDM process
    A Kumar, S Kumar, MK Pradhan
    Proceedings of the iMeche, Part E: Journal of Process Mechanical Engineering , 2025
    2025
    Citations: 2
  • Measurement of EDMed surfaces roughness using convolutional neural network
    A Kumar, MK Pradhan, R Das
    Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2025
    2025
    Citations: 4
  • Integration of Machine Learning in Virtual Workstations for Improved Efficiency and Productivity in Industry 4.0
    P Gupta, A Selot, R Dwivedi, MK Pradhan
    International Conference on Industry 4.0 and Advanced Manufacturing, 13-21 , 2025
    2025
    Citations: 1
  • A hybrid GRA-PCA-TOPSIS Technique Optimization of EDD Process Parameter on Drilling of AL8011/B4C/aloevera composites
    A Kumar, MK Pradhan, S Kumar
    Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2024
    2024
    Citations: 6
  • Optimization of geometrical factors for enhanced performance of carbon fiber reinforced polymer cores under transverse loading
    MK Pradhan
    Proceedings of the Institution of Mechanical Engineers, Part C: Journal of … , 2024
    2024
  • A Review on Aluminum Metal Matrix Composites: Processing and Properties
    MK Malviya, V Somkunwar, MK Pradhan, NK Rathore, R K, Singh
    Computational Optimization, Modeling, and Simulation for Engineering … , 2024
    2024
    Citations: 1
  • Selection of Optimal Ceramic Materials Using Various Multi-criteria Decision-Making Techniques for Diverse Applications
    R Sharma, MK Pradhan, P Jain
    International Conference on Information Systems and Management Science, 199-208 , 2023
    2023
  • Finite Element Modeling for Electrical Discharge Machining of Ti-6Al-4V Alloy and Multi-objective Optimization using Response Surface Modelling
    D Jaurker, MK Pradhan
    Int. J. of Simulation and Process Modelling 20 (1), 21-30 , 2023
    2023
    Citations: 4
  • Recent Advances in Materials and Manufacturing Technology Lecture Notes in Mechanical Engineering
    RK Nayak, MK Pradhan, A Mandal, JP Davim
    https://doi.org/10.1007/978-981-99-2921-4, Springer Singapore 1, 1020 , 2023
    2023
  • Application of Digital Image Processing on Machined Surfaces: A Review
    S Jain, MK Pradhan, A Kumar
    Recent Advances in Materials and Manufacturing Technology 1, 191-201 , 2023
    2023
  • Optimization Techniques Used in Machining Processes: A Review
    D Jaurker, MK Pradhan, S Jaurker, R Malviya
    Recent Advances in Materials and Manufacturing Technology 1, 93-101 , 2023
    2023
    Citations: 3
  • Parametric Optimization of the EDM Using a Genetic Algorithm on Machining of Al7075/SIC/WS2 Composites
    A Kumar, MK Pradhan, S Jain
    Recent Advances in Materials and Manufacturing Technology: Select … , 2023
    2023
  • Coupled Temperature Displacement Finite Element Analysis of Friction Welding of Similar and Dissimilar Metals
    MK Pradhan, G Deepansh
    Recent Advances in Materials and Manufacturing Technology 1, 191 , 2023
    2023
  • Optimization of EDMed fly ash and Rice husk ash reinforced hybrid Al-based composite using improved COPRAS and Entropy method
    MK Pradhan
    International Journal of Manufacturing Research 18 (2), 165 - 189 , 2023
    2023
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Fault Detection Analysis in Rolling Element Bearing: A Review
    P Gupta, MK Pradhan
    Materials Today: Proceedings 4 (2), 2085-2094 , 2017
    2017
    Citations: 218
  • Neuro-Fuzzy and Neural Network-based Prediction of Various Responses in Electrical Discharge Machining of AISI D2 Steel: NF and NN based Prediction of Responses in EDM of D2 steel
    MK Pradhan, CK Biswas
    The International Journal of Advanced Manufacturing Technology 50, 591-610 , 2010
    2010
    Citations: 130
  • Estimating the effect of process parameters on MRR, TWR and radial overcut of EDMed AISI D2 tool steel by RSM and GRA coupled with PCA
    MK Pradhan
    International Journal of Advanced Manufacturing Technology 68 (1-4), 591-605 , 2013
    2013
    Citations: 127
  • Characteristic Behaviour of Aluminium Metal Matrix Composites: A Review
    M Shukla, SK Dhakad, P Agarwal, MK Pradhan
    Materials Today: Proceedings 5 (2), 5830-5836 , 2018
    2018
    Citations: 89
  • Modeling and Analysis of Process Parameters on Surface Roughness in EDM of AISI D2 tool Steel by RSM Approach
    MK Pradhan, CK Biswas
    International Journal of Mechanical, Aerospace, Industrial, Mechatronic and … , 2009
    2009
    Citations: 83
  • Comparisons of Neural Network Models on Surface Roughness in Electrical Discharge Machining
    MK Pradhan, R Das, CK Biswas
    Proceedings of the Institution of Mechanical Engineers, Part B: Journal of … , 2009
    2009
    Citations: 80
  • Effect of rice husk ash on properties of aluminium alloys: A Review
    S Tiwari, MK Pradhan
    Materials Today: Proceedings 4 (2), 486-495 , 2017
    2017
    Citations: 79
  • Modeling and optimization of Electrical Discharge Machining Process using RSM: A Review
    M Gangil, MK Pradhan
    Materials Today: Proceedings 4 (2), 1752-1761 , 2017
    2017
    Citations: 77
  • Modelling of Machining Parameters for MRR in EDM using Response Surface Methodology
    MK Pradhan, CK Biswas
    National Conference on Mechanism Science and Technology: From Theory to … , 2008
    2008
    Citations: 69
  • Multi Response optimization of injection moulding Process parameters to reduce cycle time and warpage
    G Singh, MK Pradhan, A Verma
    Materials Today: Proceedings 5 (2), 8398–8405 , 2018
    2018
    Citations: 62
  • Review on modelling and optimization of electrical discharge machining process using modern Techniques
    M Gangil, MK Pradhan, R Purohit
    Materials Today: Proceedings 4 (2), 2048-2057 , 2017
    2017
    Citations: 56
  • Multi-response Optimisation of EDM of AISI D2 tool Steel using Response Surface Methodology
    MK Pradhan, CK Biswas
    International Journal of Machining and Machinability of Materials 9 (1-2), 66-85 , 2011
    2011
    Citations: 56
  • Estimating the effect of process parameters on surface integrity of EDMed AISI D2 tool steel by response surface methodology coupled with grey relational analysis
    MK Pradhan
    International Journal of Advanced Manufacturing Technology 67 (9-12), 2051-2062 , 2013
    2013
    Citations: 55
  • Experimental Investigation and Modelling of Surface Integrity, Accuracy and Productivity aspects in EDM of AISI D2 Steel
    MK Pradhan
    National Institute of Technology, Rourkela , 2010
    2010
    Citations: 47
  • Optimization the machining parameters by using VIKOR Method during EDM process of Titanium alloy
    M Gangil, MK Pradhan
    Materials Today: Proceedings 5 (2), 7486–7495 , 2018
    2018
    Citations: 45
  • Recurrent neural network estimation of material removal rate in electrical discharge machining of AISI D2 tool steel
    MK Pradhan, R Das
    Proceedings of the Institution of Mechanical Engineers, Part B: Journal of … , 2011
    2011
    Citations: 44
  • Optimisation of EDM process for MRR, TWR and Radial overcut of D2 steel: A hybrid RSM-GRA and Entropy weight based TOPSIS Approach
    MK Pradhan
    International Journal of Industrial and Systems Engineering 29 (3), 273-302 , 2018
    2018
    Citations: 39
  • Hybrid Cellulose Bionanocomposites from banana and Jute fibre: A Review of Preparation, Properties and Applications
    A Rathore, MK Pradhan
    Materials Today: Proceedings 4 (2), 3942-3951 , 2017
    2017
    Citations: 38
  • Multi-Objective Optimization of Electrical Discharge Machining Processes Using Artificial Neural Network
    J Anitha, R Das, MK Pradhan
    Jordan Journal of Mechanical and Industrial Engineering 10 (1), 11- 18 , 2016
    2016
    Citations: 37
  • Determination of optimal parameters with multi response characteristics of EDM by response surface methodology, grey relational analysis and principal component analysis
    MK Pradhan
    International Journal of Manufacturing Technology and Management 26 (1-4), 56-80 , 2012
    2012
    Citations: 37

Publications

Nayak, R.K; Pradhan, M. K.; Sahoo, A.K.; Machining of Nanocomposites 2022 CRC Press, Taylor & Francis Group