Dr Sunil Kumar Paswan
Assistant Professor (Grade-I)
| School of Engineering Design and Automation
GNA UNIVERSITY
Punjab
Expertise:
Mechanical Engineering
29
Publications
0
Projects
260
Scopus Citations
236
CrossRef
7 Years 11 Months Total Experience
Scopus
260
Citations
9
h-index
CrossRef
236
Citations
8
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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Personal Details
Doctor of Philosophy
2021
N/A
Master of Engineering
2016
N/A
Bachelor of Technology
2013
N/A
Master of Arts
2006
N/A
Assistant Professor (Grade-I)
Jan 2023 – Present
GNA UNIVERSITY
| School of Engineering Design and Automation
Assistant Professor
Aug 2022 – Jan 2023
KC School of Management and Computer Application
Assistant Professor
Sep 2021 – Aug 2022
Baba Farid College of Engineering& Technology, Bathinda
Teaching Assistant
Aug 2017 – Jun 2020
Thapar Institute of Engineering and Technology, Patiala
| Department of Mechanical Engineering
Engineering and Technology
Scholarly Work
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A Magneto-rheological (MR) Machining System
Baba Farid College of Engineering and Information Technology
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Patent No. :
08/07/2022
Filed :
10-05-2022
Published :
08-07-2022
Published
Door Stopper For Refrigerator" Indian Patent Advanced Search System
Baba Farid College of Engineering and Information Technology
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Patent No. :
23/2022
Filed :
06-04-2022
Published :
10-06-2022
Published
Scholarly Publications
Systematic study of electrochemical machining processes for micromachining
Investigating the material removal mechanism during magnetorheological finishing of extrusion punch surface
Parametric effect of temperature drop in shell and tube heat exchanger
Design of helmet for motorcyclist with improved air flow dissipate the heat generated
Nano finishing of miniature-diameter copper tube using magnetorheological finishing
Ultra-fine finishing of external surface of cylindrical workpiece using magnetorheological finishing process
Evaluating the performance of the adaptive neuro-fuzzy inference system (ANFIS) in predicting reheat gas turbine cycle output using machine learning techniques
Analysis of surface finishing mechanism in a newly developed rotational magnetorheological honing process for its productivity improvement
Showing 1 to 8 of 29 publications