Prashant Bagga

Employment

• Nirma University of Science and Technology Institute of Technology Assistant Professor
  2016 - Present
• Nirma University Institute of Diploma Studies Assistant Professor
  2008 - 2016
• Nirma University Institute of Diploma Studies Assistant Professor
  2006 - 2008
• Nirma University Institute of Diploma Studies Lecturer
  2000 - 2005

Education

• Nirma University Institute of Technology Doctor of Philosophy
  2016 - 2024
• Nirma University of Science and Technology Institute of Technology Master of Technology in Computer Integrated Manufacturing
  2013 - 2016
• Manonmaniam Sundaranar University Master of Technology in Computer and Information Technology
  2010 - 2012
• Saurashtra University Bachelor of Engineering
  1993 - 1997
• Tolani Foundation Diploma in Mechanical Engineering
  1990 - 1992

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Machinability investigation of Ti-6Al-4V titanium alloy under dry, flood, MQL and nanofluid-MQL techniques using textured tools
  Advances in Materials and Processing Technologies 2023 DOI: 10.1080/2374068X.2023.2206216
  +Save
• Machine vision-based gradient-boosted tree and support vector regression for tool life prediction in turning
  International Journal of Advanced Manufacturing Technology 2023 DOI: 10.1007/s00170-023-11137-2
  +Save
• Tool Wear Detection Using Computer Vision System in Machining
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-16-9523-0_3
  +Save
• An online tool life prediction system for CNC turning using computer vision techniques
  Materials Today: Proceedings 2022 DOI: 10.1016/j.matpr.2021.11.482
  +Save
• Evaluation of Surface Roughness, Tool Wear and Chip Morphology during Machining of Nickel-Based Alloy under Sustainable Hybrid Nanofluid-MQL Strategy
  Lubricants 2022 DOI: 10.3390/lubricants10110315
  +Save
• Experimental investigation of different NN approaches for tool wear prediction based on vision system in turning of AISI 1045 steel
  International Journal on Interactive Design and Manufacturing 2022 DOI: 10.1007/s12008-022-01072-z
  +Save
• Indirect tool wear measurement and prediction using multi-sensor data fusion and neural network during machining
  Materials Today: Proceedings 2022 DOI: 10.1016/j.matpr.2021.12.131
  +Save
• Tool life prognostics in CNC turning of AISI 4140 steel using neural network based on computer vision
  International Journal of Advanced Manufacturing Technology 2022 DOI: 10.1007/s00170-022-10485-9
  +Save
• A Novel Computer Vision Based Machine Learning Approach for Online Tool Wear Monitoring in Machining
  ResearchSquare 2021 DOI: 10.21203/rs.3.rs-666753
  +Save
• A novel approach of combined edge detection and segmentation for tool wear measurement in machining
  Production Engineering 2021 DOI: 10.1007/s11740-021-01035-5
  +Save