Raju Shrihari Pawade

About

Raju Shrihari Pawade received the ME (1997) and the PhD (2008) in Manufacturing Engineering from Indian Institute of Technology, Mumbai, India. He is currently working as Professor (WS) in Mechanical Engineering at Dr. Babasaheb Ambedkar Technological University, Lonere, MS, India. His research and teaching focus on Metal machining and its deformation characteristics in high speed machining, Micro machining of Inconel and Titanium alloys, Sustainable machining and Non conventional machining. He has published over 250 papers in international journals and conferences.

Employment

• Dr. Babasaheb Ambedkar Technological University Associate Professor
  1991 - 2027

Education

• IIT Bombay PhD
  2003 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (54)

• Innovative Approaches to Sustainable Machining of Inconel 718 — Exploring Green Metal Working Fluid Alternatives and Delivery Strategies
  Journal of Advanced Manufacturing Systems 2026 DOI: 10.1142/S0219686726500095
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• Novel Cyclic-ANN Approach for On-Machine Roundness Error Measurement Under RGB Light Sources Using Machine Vision System
  MAPAN 2026 DOI: 10.1007/s12647-026-00917-2
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• Optimization of uncertainty in hole diameter measurements using a novel approach of ANN-regression-WASPAS
  International Journal on Interactive Design and Manufacturing (IJIDeM) 2025 DOI: 10.1007/s12008-024-01753-x
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• DLP 3D printing and characterization of PEEK-acrylate composite biomaterials for hip-joint implants
  Metal Working and Material Science 2025 DOI: 10.17212/1994-6309-2025-27.1-172-191
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• Impact of print orientation on wear behavior in FDM printed PLA Biomaterial: Study for hip-joint implant
  Metal Working and Material Science 2024 DOI: 10.17212/1994-6309-2024-26.4-19-40
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• A novel Zende’s-TOPSIS method towards estimation of measurement uncertainty in hole diameters
  Engineering Research Express 2024 DOI: 10.1088/2631-8695/ad45b7
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• Exploring machine vision measurements through innovative cyclic-lead-follower statistical technique: an experimental study
  Engineering Research Express 2024 DOI: 10.1088/2631-8695/ad36b1
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• Water vapor cutting fluid assisted productive machining of Inconel 718
  Materials and Manufacturing Processes 2024 DOI: 10.1080/10426914.2023.2190389
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• Desirability Function Analysis Based Optimization of the On-Machine Diameter Measurement Using Machine Vision Under RGB Light
  2024 DOI: 10.1007/978-3-031-48781-1_7
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• Comparative assessment of machining induced hardening in HSM of Inconel 718 with aid of eco-friendly cutting fluids
  Materials Today: Proceedings 2022 DOI: 10.1016/J.MATPR.2022.04.342
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