International Journals

Publications in International Journal

Publications: 2025–2026

• A. Kumar, M. K. Pradhan, and S. Kumar, "A hybrid GRA–PCA–TOPSIS technique optimization of EDD process parameter on drilling of AL8011/B4C/aloevera composites," Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., early access, 2024. [Online]. Available: https://doi.org/10.1177/09544089241288927 

• M. K. Pradhan, "Optimization of geometrical factors for enhanced performance of carbon fiber reinforced polymer cores under transverse loading," Proc. Inst. Mech. Eng. Part C: J. Mech. Eng. Sci., vol. 238, no. 11, 2024. [Online]. Available: https://doi.org/10.1177/09544062231219323 

Publications in International Journal

Publications: 2024–2025

• Sharma, Rajesh, Mohan Kumar Pradhan, and Pankaj Jain. "Fabrication, characterization and optimal selection of aluminium alloy 8011 composites reinforced with B4C-aloe Vera ash." Materials Research Express (2023). 

• Gupta, P., Selot, A., Dwivedi, R.K., Pradhan, M.K. (2025). Integration of Machine Learning in Virtual Workstations for Improved Efficiency and Productivity in Industry 4.0. In: Chakrabarti, A., Suwas, S., Arora, M. (eds) Industry 4.0 and Advanced Manufacturing, Volume 2. I-4AM 2024. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-97-6176-0_2 

Publications in International Journal

Publications: 2023–2024

• Sharma, Rajesh, Mohan Kumar Pradhan, and Pankaj Jain. "Fabrication, characterization and optimal selection of aluminium alloy 8011 composites reinforced with B4C-aloe Vera ash." Materials Research Express (2023). 

• Jaurker, Diksha, and Mohan Kumar Pradhan. "Finite element modelling for electrical discharge machining of Ti-6Al-4V alloy and multi-objective optimisation using response surface modelling." International Journal of Simulation and Process Modelling 20.1 (2023): 21-30. 

• Pradhan, M. K. "Optimisation of EDMed fly ash and rice husk ash reinforced hybrid Al-based composite using improved COPRAS and entropy methods" International Journal of Manufacturing Research 18.2 (2023): 165-189. 

• Kumar, Amit, Mohan Kumar Pradhan, and Raja Das. "Measurement of EDMed surfaces roughness using convolutional neural network." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering (2023): 09544089231190271. 

• Patel, Rakesh Kumar, and Mohan Kumar Pradhan. "Machining of nickel-based super alloy inconel 718 using alumina nanofluid in powder-mixed electric discharge machining." Materials Research Express 10.3 (2023): 036501. 

• Kumar, Amit, and Mohan Kumar Pradhan. "An ANFIS modelling and genetic algorithm-based optimization of through-hole electrical discharge drilling of Inconel-825 alloy." Journal of Materials Research 38.2 (2023): 312-327. 

Publications in International Journal

Publications: 2022–2023

• Patel, Rakesh Kumar, and Mohan Kumar Pradhan. "Machining of nickel-based superalloy Inconel 718 using alumina nanofluid in powder mixed electric discharge machining." Materials Research Express (2023). 

• Pateriya, Ambuj, and Mohan Kumar Pradhan. "Dry sliding wear response of aluminium matrix composites (AMCs): a critical review." Materials Research Express (2023) 

• Kumar, Amit, and Mohan Kumar Pradhan. "An ANFIS modelling and genetic algorithm-based optimization of through-hole electrical discharge drilling of Inconel-825 alloy." Journal of Materials Research 38.2 (2023): 312-327. 

•  Pradhan, M. K Optimization of EDMed fly ash and Rice husk ash reinforced hybrid Al-based composite using improved COPRAS and Entropy method,  International Journal of Manufacturing Research, V 18, N 2, P 1-18, 2023  Inderscience

• Pateriya, Ambuj, and Mohan Kumar Pradhan. "Dry Sliding Wear Response of Aluminium Matrix Composites (AMCs): A Critical Review." Materials Research Express (2023). 

• Pradhan, M. K., and Amit Kumar. "VK Jain (Ed.) (2014). Introduction to Micromachining, New Delhi, India: Narosa Publishing House. 624 pp. $43.12 (Paperback), ISBN: 978-81-8487-361-0." (2022): 224-227. 

• Pradhan, Mohan Kumar. "An integrated fuzzy AHP approach for optimization of theory of failures of multi-directional composite laminates." International Journal of Simulation and Process Modelling 18.3 (2022): 181-199. 

Publications in International Journal

Publications: 2021 - 2022

Publications in International journal

Publications: 2020 - 2021

• Agarwal N., Shrivastava N., Pradhan M.K. (2021) A New Constrained-Based Multi-objective Optimization Method for Electric Discharge Machining. In: Agrawal R., Jain J.K., Yadav V.S., Manupati V.K., Varela L. (eds) Recent Advances in Smart Manufacturing and Materials. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-3033-0_42

• Kumar A., Pradhan M.K. (2021) Mechanical and Tribological Behavior of Al7075/SiC/WS2 Stir Casting Fabricated Composite with Optimization of EDM Parameters. In: Agrawal R., Jain J.K., Yadav V.S., Manupati V.K., Varela L. (eds) Recent Advances in Smart Manufacturing and Materials. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-3033-0_46

• Patel, Rakesh Kumar, and M. K. Pradhan. "Decision-making on the machining parameters of Electrical Discharge Machined AISI D2 tool steel by AHP and PROMETHEE method." IOP Conference Series: Materials Science and Engineering. Vol. 1104. No. 1. IOP Publishing, 2021.

• Patel, Rakesh Kumar, and M. K. Pradhan. "Experimental investigation of Aluminium alloy 6061 machining in Powder Mixed EDM." Ilkogretim Online 20.5 (2021).

•  Pradhan, M. K., et al. "Comparative Aerodynamics Analysis of Maruti Suzuki Alto Models." Advances in Fluid Dynamics. Springer, Singapore, 2021. 589-604.

• Pradhan, M. K., and R. K. Patel. "Micro-electro Discharge Machining: Principles and Applications, by Ajay M. Sidpara and Ganesh Malayath." (2020): Volume: 3 issues: 1, page(s): 84-86

Publications in International journal

Publications: 2019 - 2020

• Nishant Dhengre, M. K. Pradhan and R Katarne Study and analysis of WO-CO Turning Tool Using Finite Element Method IOP Conf. Series: Materials Science and Engineering 810 (2020) 012075 

• Rajput, M. K., and M. K. Pradhan. "Metal Rolling by Computational Method: A Brief Review." Advancement in Mechanical Engineering and Technology 2.3 (2020). 

• Pradhan, Amar, and M. K. Pradhan. "Experimental Investigation of Mechanical Properties and Machinability of High Temperature Ni-Based Super alloy: A REVIEW." Recent Trends in Production Engineering 2.3 (2020). 

• Agarwal, N., Shrivastava, N. & Pradhan, M. K. Optimization of relative wear ratio during EDM of titanium alloy using advanced techniques, Appl. Sci. (2020) 2: 99. https://doi.org/10.1007/s42452-019-1877-2 

• Neeraj Agarwal, Nitin Shrivastava  & M. K. Pradhan, EDM parameter optimization on tool wear rate using advanced optimization of titanium alloy", International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), ISSN (P): 2249-6890; ISSN (E): 2249-8001 Vol. 9, Issue 4, Aug 2019, 831-838 

• Neeraj Agarwal, Nitin Shrivastava, M. K. Pradhan,  Radial Over Cut Optimization of Titanium Alloy for Electric Discharge Machining using Advanced Optimization Technique – Jaya Algorithm, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249–8958, Volume-8, Issue-6, August 2019

•  Agarwal, N., Shrivastava, N., & Pradhan, M. K. Optimization Of Surface Roughness Using Jaya Algorithm In EDM. International Journal of Scientific & Technology Research, Volume-8, Issue 10, October 2019

Publications in International Journal

Publications: 2018 - 2019

• M. K. Pradhan* and Amar Pradhan, Experimental Investigation of Mechanical Properties of High-Temperature Ni-Based Superalloy by Varying the Wt. % of Aluminum, International Journal of Microstructure and Materials Properties, Inderscience, UK, Vol. -13, No.-3/4, pp-213-227, 2018

• Agarwal, N., Pradhan, M. K., & Shrivastava, N. (2018). A new multi-response Jaya Algorithm for optimisation of EDM process parameters. Materials Today: Proceedings, 5(11), 23759-23768. 

• Pradhan, M. K., & Tiwari, A. (2018). Modelling and optimisation of end milling parameters on Ti-6Al-4V titanium alloy using TLBO algorithm and TOPSIS algorithm. International Journal of Machining and Machinability of Materials, 20 (6), 513-535. 

• Pradhan, M. K., & Pradhan, A. (2018). Experimental investigation of mechanical properties of high-temperature Ni-based super alloy by varying the wt.% of aluminium. International Journal of Microstructure and Materials Properties, 13(3-4), 213-227. 

• Shukla, M., Dhakad, S. K., Agarwal, P., & Pradhan, M. K. (2018). Characteristic behaviour of aluminium metal matrix composites: a review. Materials Today: Proceedings, 5(2), 5830-5836. 

Publications: 2017 - 2018

• M. K. Pradhan* and Pankaj Gupta "Fault Detection Using Vibration Signal Analysis of Rolling Element Bearing in Time Domain using an Innovative Time Scalar Indicator" Int. J. of Manufacturing Research (IJMR) Inderscience, UK, Vol-12, No -3, pp-305–317, 2017.

• M. K. Pradhan* and S. Tiwati, "Investigation of Mechanical Properties and Electrical Discharge Machining of LM25-RHA Metal Matrix Composite " Int. J. of Machining and Machinability of Materials Special Issue on: Advances in the Machining of Composite Materials III, Inderscience, UK, Vol-19, No - 5, pp-457-482, 2017.

• Manish Shukla, Pankaj Agarwal, M. K. Pradhan S.K. Dhaka, "Experimental Investigation of EDM Parameters on Al-LM6/SiC/B4C Hybrid Composites", Applied Mechanics and Materials, Volume-877, Pp:149-156, Trans Tech Publications, Switzerland

• M. K. Pradhan, Tiwari A. Modeling and Optimization of End Milling Parameters on Ti-6Al-4V Titanium Alloy using TLBO Algorithm and TOPSIS Algorithm, International Journal of Machining and Machinability of Materials Inderscience, UK, Vol-20, No - 1, pp-, 2018.

• Shukla M, Dhakad SK, Agarwal P, M. K. Pradhan. Characteristic behavior of aluminum metal matrix composites: A review. Materials Today: Proceedings. 2018 Dec 31;5 (2): 5830-6.

• Gangil M, M. K. Pradhan. Optimization of machining parameters of EDM for performance characteristics using RSM and GRA. Journal of Mechanical Engineering and Biomechanics, Volume 2, Issue 4, Page 27-33, 2018 

• ISSN- 2456-219X 

• Singh G, M.K. Pradhan, Verma A. Multi-Response optimization of injection molding Process parameters to reduce cycle time and warpage. Materials Today: Proceedings. 2018 Dec 31;5 (2): 8398-405.

• Goyal R, M.K. Pradhan. Optimization of Theory of Failures of Multi-directional Composite Laminates: AHP approach. Materials Today: Proceedings. 2018 Dec 31; Volume 5, Issue 2, Part 2, 2018, Pages 6940-6945

Publications: 2016 - 2017

• M. K. Pradhan* and S. Tiwari, "Effect of rice husk ash on properties of aluminium alloys: A Review" Materials Today: Proceedings, Volume 4, Issue 2, Part A, 2017, Pages 486-495

• Manish Gangil and M. K. Pradhan, Modeling and optimization of electrical discharge machining process using RSM: A review Materials Today: Proceedings, Volume 4, Issue 2, Part A, 2017, Pages 1752-1761

• Atul Tiwari and M. K. Pradhan Applications of TLBO algorithm on various manufacturing processes: A REVIEW" Materials Today: Proceedings, Volume 4, Issue 2, Part A, 2017, Pages 1644-1652

• Ayush Rathore and M. K. Pradhan "Hybrid Cellulose Bio nanocomposites from banana and jute fibre: A Review of Preparation, Properties and Applications" Materials Today: Proceedings, Volume 4, Issue 2, Part A, 2017, Pages 3942-3951

• Pankaj Gupta and M. K. Pradhan "Fault detection analysis in rolling element bearing: A review" Materials Today: Proceedings, Volume 4, Issue 2, Part A, 2017, Pages 2085-2094

• Nayan Chandak, Mayank Yede, Prashant Malviya, M. K. Pradhan "Analysis of railway wheel to study crack initiation due to thermal loading and calculating life cycle" Materials Today: Proceedings, Volume 4, Issue 2, Part A, 2017, Pages 2454-24

• Manish Gangil, M. K. Pradhan, Rajesh Purohit "Review on modelling and optimization of electrical discharge machining process using modern Techniques" Materials Today: Proceedings, Volume 4, Issue 2, Part A, 2017, Pages 2048-2057

• Nigam, P. K; Tenguria, Nitin; M. K. Pradhan; Analysis of horizontal axis wind turbine blade using CFD International Journal of Engineering, Science and Technology 9 2 46-60 2017 Multi-Craft Limited.

• M. K. Pradhan, Jain, Mohit; Preparation and Testing of Mechanical and Micro-Structural Properties of Nano cellulose Rubber Composite: A brief review Journal on Material Science 5 1 29-40 2017 i-manager’s

Publications: 2015 - 2016

• Anitha, J., R. Das, and M. K Pradhan*"Multi-Objective Optimization of Electrical Discharge Machining Processes Using Artificial Neural Network" Jordan Journal of Mechanical and Industrial Engineering, - Volume 10 Number 1, March.2016 ISSN 1995-6665 Pages 11- 18. Link

• Prabhat R Kumar, Mohan K Pradhan, Improvement in Mechanical Property of Aluminium Alloy LM-6 Reinforcement with Silicon Carbide and Boron Carbide Particles, Journal on Material Science, Volume: 4 No. 1, Pages: 26-31, Issue: Apr-Jun 2016

• Mohan K Pradhan*, “Optimization of EDM process for MRR, TWR and Radial overcut of D2 steel: A hybrid RSM-GRA and Entropy weight based TOPSIS Approach”, International Journal of Industrial and Systems Engineering (IJISE). Inderscience, UK, Vol-23, No - 4, pp-, 2016.

• Jain, Mohit, and M. K. Pradhan*. "Morphology and mechanical properties of sisal fiber and Nano cellulose green rubber composite: a comparative study. “International Journal of Plastics Technology: Volume: 20, No. 2, Pages: 338-400, 2016

• Mohan K Pradhan*, Raja Das, “Application of a general regression neural network for predicting Radial Overcut in Electrical Discharge Machining of AISI D2 Tool Steel”, International Journal of Machining and Machinability of Materials (IJMMM). Inderscience, UK, Vol-17, No-3/4, pp-355-369, 2015.

• Parsuram Sah Turaha Mohan K Pradhan, “Concept on single actuating braking system for two wheeler", Int. Journal of Design and Manufacturing Technologies, Vol.-9, No-1, pp-12-15, January,2015, http://journals-sathyabama.com/archives/dmt/vol9-no1-intl-paper-mech-3.pdf

Publications: 2014 - 2015

•  Ashutosh Mishra, Mohan K Pradhan, Assessment of Theories of Failure for Multi-directional Composites, Laminates: A Fuzzy-AHP approach, Materials Science Forum Vols. 830-831 (2015) pp 721-726 © (2015) Trans Tech Publications, Switzerland doi: 10.4028/www.scientific.net/MSF.830-831.721

• Nayan Chandak, Mohan K Pradhan, Lokesh Boriwal “Modelling and Simulation of Temperature and Stress Analysis in TIG Welding Process, Materials Science Forum Vols. 830-831 (2015) pp 294-297 © (2015) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/MSF.830-831.294

• Singh, Gurjeet, Mohan Kumar Pradhan, and Ajay Verma. "A Review of the Effect of Process Parameters on the Performance of Plastic Injection Molding Process to Control the Warpage in Plastics." Materials Science Forum. Vol. 830. Trans Tech Publications, 2015.

• M. K. Pradhan, Mayank Meena, Shubham Sen, Arvind Singh "Multi-Objective Optimization in End Milling of Al 6061 Using Taguchi Based G-PCA" World Academy of Science, Eng. &Technology International Journal of Mechanical, Aerospace, Industrial, Mechatronic & Manufacturing Engineering Vol:9, No:6, 2015

• Singh, G., M. K. Pradhan, and A. Verma. "Effect of Injection Moulding Process Parameter on Tensile Strength of Using Taguchi Method." International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering Vol:9, No:10, 2015, pp-1719 -17124

• Mohan K Pradhan*, Raja Das, “Application of an ANN Modeling of Radial Overcut in Electrical Discharge Machining”, Journal of Manufacturing Technology Research. Nova Science Publishers, Vol. 7 Issue 1-2, PP-39-52, 2015. Link

• J Anitha, R. Das, and M. K Pradhan*, Comparison of Neural Network Learning Algorithms for Prediction of Surface Roughness in EDM, Journal of Mechatronics and Intelligent Manufacturing, Vol. 3, Issue 1-2, 2014. https://www.novapublishers.com/catalog/product_info.php?products_id=50137

• Anitha, J., R. Das, and M. K Pradhan*"Optimization of Surface Roughness in EDM for D2 Steel by RSM-GA Approach." Universal Journal of Mechanical Engineering 2(6): 205-210, 2014, DOI: 10.13189/ujme.2014.020605, http://www.hrpub.org/download/20140701/UJME5-15190027.pdf

Publications: 2014 - 2015

• Mohan K Pradhan*, “Estimating the effect of Process parameters on surface integrity of EDMed AISI D2 tool steel by response Surface methodology coupled with gray relational analysis”, International Journal of Advanced Manufacturing Technology, Springer, August 2013, Volume 67, Issue 9-12, pp 2051-2062 DOI: 10.1007/s00170-012-4630-1

• Mohan K Pradhan, “Estimating the effect of process parameters on MRR, TWR and Radial Overcut of EDMed AISI D2 tool steel by RSM, GRA coupled with PCA”, International Journal of Advanced Manuf. Technology, Springer. September 2013, Volume 68, Issue 1-4, pp 591-605. DOI10.1007/s00170-013-4780-9

• Raja Das and Mohan K Pradhan, “ANN Modelling for Surface Roughness in Electrical Discharge Machining: A Comparative Study”, Int. J. of Service and Computing Oriented Manufacturing (IJSCOM) Special Issue on: "Artificial Intelligence for Manufacturing and Engineering", Inderscience Vol-1, Issue 2, Pages 124–140, 2013.

• S. K. Majhi, Mohan K Pradhan, Hargovind Soni “Optimization of EDM parameters using an integrated approach of RSM, GRA and entropy method”, International Journal of Applied Research in Mechanical Engineering (IJARME), Interscience Vol-3, Issue 1, Pages 82–87, 2013.ISSN: 2231 –5950

• H. Soni, T. K. Mishra, and Mohan K Pradhan, Multi-Response Optimization of EDM Parameters by Grey-PCA Method, International Journal of Current Engineering and Technology, Vol.3, No.5 (December 2013), ISSN 2277- 4106, pp:1941-1945.

• S.K.Majhi, T.K.Mishra, Mohan K Pradhan and H. Soni, Effect of Machining Parameters of AISI D2 Tool Steel on Electro Discharge Machining, International Journal of Current Engineering and Technology, Vol.4, No.1 (Feb.2014), pp: 19-23, ISSN 2277 - 4106,

• R. Das, Mohan K Pradhan  and C Das, "Prediction of surface roughness in Electrical Discharge Machining of SKD 11 TOOL steel using Recurrent Elman Networks" Jordan Journal of Mechanical and Industrial Engineering, Volume 7 Number 1, December. 2013, ISSN 1995-6665, Pages 67 - 71 http://jjmie.hu.edu.jo/files/vol7n1/9-Paper-modified%20version2013-1%20mod-21-2013.pdf

• R. Das, and M. K Pradhan*, 'General Regression Neural Network and Back Propagation Neural Network Modeling for Predicting Radial Overcut in EDM: A Comparative Study'. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering, 8(4), 146 - 152.http://waset.org/publication/General-Regression-Neural-Network-and-Back-Propagation-Neural-Network-Modeling-for-Predicting-Radial-Overcut-in-EDM:-A-Comparative-Study/9998847

Publications: 2012 - 2013

• Mohan K Pradhan*, “Multi-objective optimization of MRR, TWR and Radial Overcut of EDMed AISI D2 tool steel using response surface methodology, grey relational analysis and entropy measurement”, Int. Journal for Manufacturing Science & Production, Vol-12, Issue 1, Pages 51–63, 2012. DOI: 10.1515/jmsp-2012-0004, April 2012

• Mohan K Pradhan* & Chandan K. Biswas, “Optimization of Surface integrity Electrical Discharge Machining operations using Response Surface Methodology for EDMed AISI D2 tool steel”, Int. J. Mechatronics and Manufacturing Systems (IJMMS), Spl Issue on: "Electric Discharge-based Multi-scale Machining Processes and Systems", Vol. 5, Nos. 5/6,pp.340–360, 2012. DOI: 10.1504/IJMMS.2012.049967

• Mohan K Pradhan*, Chandan K. Biswas, “Modelling and Analysis of Surface crack in EDMed AISI D2 Steel”, Journal of Manufacturing Technology Research, Vol-4, issue 3-4, pp-159-172 , 2012 Nova Science Publishers. https://www.novapublishers.com/catalog/product_info.php?products_id=37096

• Mohan K Pradhan*, “Determination of optimal parameters with multi-response characteristics of EDM by response surface methodology, grey relational analysis and principal component analysis, Int. J. Manufacturing Technology and Management (IJMTM), Inderscience, Vol. 26, Nos. 1/2/3/4, pp-56–79, 2012.DOI: 10.1504/IJMTM.2012.051435

Publications: 2011 - 2012

• Chandan K. Biswas and Mohan K Pradhan, FEM of Residual stress of EDMed Surfaces”, Manufacturing Science and Technology, Advanced Materials Research Vols. 383-390 (2012) pp 872-876, 2011/Nov/22 at www.scientific.net (2012) Trans Tech Publications, Switzerland. doi:10.4028/www.scientific.net/AMR.383-390.872.

• Mohan K Pradhan, & C.K. Biswas ‘Effect of process parameters on Surface roughness in EDM of AISI D2 Steel by Response Surface Methodology’, Int. Journal of Precision Technology (IJPTech), Inderscience, UK, Vol. 2, No.1, pp-64-80, DOI-10.1504/IJPTECH. 2011.03811

• Publications: 2010 - 2011

• Mohan K Pradhan* and Raja Das, “Recurrent neural Networks in estimation of MRR in EDM of AISI D2 tool steel”, Proc. IMechE Part B: Journal of Engineering, Manufacturing Volume 225, Number 3, pp-414-421/ 2011. DOI 10.1177/2041297510394083.

• Mohan K Pradhan, and C. K. Biswas, “Response Surface Analysis of EDMed Surfaces of AISI D2 Steel”, Advanced Materials Research (Volumes 264 - 265), Advances in Materials and Processing Technologies II, pp 1960-1965, DOI 10.4028/www.scientific.net/AMR.264-265.1960, Trans Tech Publications Ltd, Laubisrutistr. 24, CH-8712, Stafa-Zuerich, Switzerland. 2011.

• Mohan K Pradhan*, Chandan K. Biswas, “Multi-response Optimization of EDM AISI D2 tool steel using Response Surface Methodology”, International Journal of Machining and Machinability of Materials (IJMMM). Inderscience, UK, Vol-9, pp- 66-85, 2011. DOI: 10.1504/IJMMM.2011.038161

Publications: before 2010 (During PhD.)

• Mohan K Pradhan*, Raja Das, and Chandan K. Biswas, “Comparisons of neural Network models on surface roughness in Electrical Discharge Machining”, Proc. IMechE, Part B: Journal of Engineering Manuf., Volume 223, Number 7, pp- 801-808/ 2009. DOI: 10.1243/09544054JEM1367

• Mohan K Pradhan*, Chandan K. Biswas, “Neuro-fuzzy and Neural Network-based prediction of various responses in Electrical discharge machining of AISI D2 Steel”, International Journal of Advance Manuf. Tech. Springer, Volume 50, pp-591–610/2010, DOI 10.1007/s00170-010-2531-8

• Mohan K Pradhan*, Chandan K. Biswas, “Investigations into the effect of process parameters on MRR in EDM of AISI D2 steel by response surface methodology”, Journal of Mechatronics and Intelligent Manufacturing (JoMIM), Vol. 1, Issue No.3-4, Sp. Issue, 2010.

• Mohan K Pradhan*, Raja Das, Chandan K. Biswas, “Prediction of Surface Roughness in Electrical Discharge Machining of D2 Steel Using Regression and Artificial Neural Networks Modeling”, Journal of Machining and Forming Technologies (JoMFT), Nova Science Publishers, Vol. 2 Issue 1-2, pp-25-46, 2009.

• Mohan K Pradhan*, Chandan K. Biswas, "Neuro-fuzzy model and Regression model a comparison study of MRR in Electrical discharge machining of D2 tool steel”, International Journal of Engineering and Applied Sciences, World Academy of Science Engineering and Technology, Vol-5, pp- 328-333, 2009. http://waset.org/publications/4879/neuro-fuzzy-model-and-regression-model-a-comparison-study-of-mrr-in-electrical-discharge-machining-of-d2-tool-steel

• Mohan K Pradhan*, Chandan K. Biswas, "Modeling and Analysis of process parameters on Surface Roughness in EDM of AISI D2 tool Steel by RSM Approach”, International Journal of Engineering and Applied Sciences, World Academy of Science Engineering and Technology, Vol-5, pp-346-351, 2009. http://waset.org/publications/9361/modeling-and-analysis-of-process-parameters-on-surface-roughness-in-edm-of-aisi-d2-tool-steel-by-rsm-approach

• Mohan K Pradhan*, Raja Das, Chandan K. Biswas, “Predictive modeling and analysis of surface roughness in electro-discharge machining of D2 tool steel using regression and neural networks approach”, Int. Journal of Design and Manufacturing Technologies, Vol.-3, No-2, 2009

• Mohan K Pradhan*, R. Das and C. K. Biswas, “Prediction of Material Removal Rate using Recurrent Elman Networks in Electrical Discharge Machining of AISI D2 tool steel”, Int. Journal of Manufacturing Technology and Industrial Engineering (IJMTIE)1(1) June 2010, pp. 29-37

• Mohan K Pradhan*, and C. K. Biswas, “Investigating the effect of machining parameters on EDMed components A RSM approach”, International Journal of Mechanical Engg, Universiti Teknologi MARA, Shah Alam, Malaysia. Vol. 7, No-1 pp.47-64, 2010.