Pravat Ranjan Pati
Graphic Era University, Institute of Aeronautical Engineering, National Institute of Technology Rourkela, ICFAI Foundation for Higher Education
0000-0002-8591-0219
About
Dr. Pravat Ranjan Pati, is currently working as an Associate Professor in the Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun. He has completed his Ph.D. in Mechanical Engineering from National Institute of Technology, Rourkela, India in 2015. He has more than nine years of experience in teaching and research. He has published many research papers in various SCI and Scopus index international journals and also presented papers at national and international conferences held in India and abroad. He is a life member of Society of Mechanical and Automotive Engineers professional societies. His research area includes in the field of Composites, Tribology and Thermal Spray Coatings.
Employment
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Graphic Era University Associate Professor2023 - Present
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Institute of Aeronautical Engineering Assistant Professor2021 - 2022
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ICFAI Foundation for Higher Education Assistant Professor2015 - 2021
Education
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National Institute of Technology Rourkela Ph.D.2012 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (78)
- Enhancing ferro-nanofluid performance in wavy minichannels: Investigating entropy generation and vorticity under magnetic field influence Save
- Machine learning-based prediction and SHAP interpretation of mechanical properties in Kenaf/PALF/flax reinforced vinyl ester hybrid composites Save
- Fabrication of bio‐mimetic low surface energy modified copper‐ aluminum based superhydrophobic coating enhancing anti‐corrosion efficiency of metal by electro‐assisted deposition Save
- Machine learning based prediction on mechanical and wear characterization of sisal fiber reinforced dolomite dust-epoxy hybrid composites Save
- Surface integrity and kerf quality improvement in laser beam machining of Nimonic C-263 by hybrid TOPSIS–grasshopper optimization approach Save
- Fluid–structure interaction and thermal performance: a numerical study on crossflow heat exchangers with aerodynamically optimised splitter elements Save
- Prediction of limiting strains and fracture toughness of deep drawing quality steel using stretching and incremental forming processes Save
- Comparative machine learning analysis of wear characteristics in industrial waste-filled epoxy-jute composites Save
- Machine learning approach for mechanical property assessment of industrial waste-filled epoxy–jute composites Save
- Machine Learning-Based Prediction of Mechanical Properties of Epoxy Composites Reinforced with Linz–Donawitz Slag Save