Pritam Pain

Pritam Pain has completed his B.Tech degree from WBUT in 2014 and then completed his M.Tech degree from Haldia Institute of Technology in 2016. He is currently working as an assistant professor in Haldia Institute of Technology. He had several journal papers and book chapters regarding Non-Traditional machining. He has been appointed as a reviewer in many journals. His main interest of research is in nature-inspired modern optimization algorithms.

Publications

Advances in Computational Approaches in Biomechanics
Advances in Computational Approaches in Biomechanics
Pritam Pain, Sreerup Banerjee, Goutam Kumar Bose. © 2022. 306 pages.
With the advent of digital computers and rapidly developing computational techniques, computer simulations are widely used as predictive tools to supplement experimental...
Machine Learning Applications in Non-Conventional Machining Processes
Machine Learning Applications in Non-Conventional Machining Processes
Goutam Kumar Bose, Pritam Pain. © 2021. 313 pages.
Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques...
Parametric Optimization of Dry Laser Cleaning Using Metaheuristics Processes: To Study the Effect of Laser Cleaning Parameters on Surface Temperature Rise and Thermo-Elastic Force
Parametric Optimization of Dry Laser Cleaning Using Metaheuristics Processes: To Study the Effect of Laser Cleaning Parameters on Surface Temperature Rise and Thermo-Elastic Force
Pritam Pain, Goutam Kumar Bose, Sayantan Roy. © 2021. 17 pages.
The workpiece sample which is a copper printed circuit board (PCB) is mounted on a micro-controlled assembly with double-faced adhesive tape. Here the primary objective is to...
MCDM-Based Optimization of Performance Characteristics During µEDMing of SS 304
MCDM-Based Optimization of Performance Characteristics During µEDMing of SS 304
Premangshu Mukhopadhyay, Goutam Kumar Bose, Pritam Pain. © 2021. 15 pages.
Micro-EDM is most widely used for developing perfect drilled micro features/parts. Research was carried out to improve the material removal and tool wear of any conductive...
Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process
Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process
Goutam Kumar Bose, Pritam Pain. © 2020. 30 pages.
In the present research work selection of significant machining parameters depending on nature-inspired algorithm is prepared, during machining alumina-aluminum interpenetrating...
Multi-Objective Optimization of ECG Process Applying Soft Computing Techniques
Multi-Objective Optimization of ECG Process Applying Soft Computing Techniques
Pritam Pain, Goutam Kumar Bose. © 2019. 31 pages.
The present research work focuses on the selection of significant machining parameters depending on the nature-inspired algorithm while machining alumina-aluminum...
Bio-Inspired Meta-Heuristic Multi-Objective Optimization of EDM Process
Bio-Inspired Meta-Heuristic Multi-Objective Optimization of EDM Process
Goutam Kumar Bose, Pritam Pain, Supriyo Roy. © 2019. 15 pages.
Modern-day engineering is trending toward complex devices with high accuracy and precision while at the same time the workpiece materials are becoming harder and more complex...
Multi-Objective Optimization of Die-Sinking EDM Process on AISI P-20 Tool Steel Using Cuckoo Search and Genetic Algorithm
Multi-Objective Optimization of Die-Sinking EDM Process on AISI P-20 Tool Steel Using Cuckoo Search and Genetic Algorithm
Goutam Kumar Bose, Pritam Pain, Sayak Mukhopadhyay. © 2017. 19 pages.
Electrical Discharge Machining (EDM) is nontraditional machining processes applied for precise machining and developing intricate geometries on work materials which are difficult...
Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process
Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process
Goutam Kumar Bose, Pritam Pain. © 2017. 31 pages.
In the present research work selection of significant machining parameters depending on nature-inspired algorithm is prepared, during machining alumina-aluminum interpenetrating...
Surface Response Methodology Approach for Multi-Objective Optimization During Electrochemical Grinding of Al2O3/Al Interpenetrating Phase Composite
Surface Response Methodology Approach for Multi-Objective Optimization During Electrochemical Grinding of Al2O3/Al Interpenetrating Phase Composite
Goutam Kumar Bose, Pritam Pain. © 2017. 31 pages.
Now a day the advances in the material science lead to the development of advanced engineering materials like super alloys. The current research work focus on the selection of...
Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process
Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process
Goutam Kumar Bose, Pritam Pain. © 2016. 30 pages.
In the present research work four different work materials viz. EN24, D2, H13, P20 which are commonly use in plastic industries are considered for machining applying EDM process....