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Sehijpal Singh
Sehijpal Singh
Professor of Mechanical and Production Engineering
Verified email at gndec.ac.in
Title
Cited by
Cited by
Year
Parametric optimization of powder mixed electrical discharge machining by response surface methodology
HK Kansal, S Singh, P Kumar
Journal of materials processing technology 169 (3), 427-436, 2005
5902005
Technology and research developments in powder mixed electric discharge machining (PMEDM)
HK Kansal, S Singh, P Kumar
Journal of materials processing technology 184 (1-3), 32-41, 2007
3472007
Effect of silicon powder mixed EDM on machining rate of AISI D2 die steel
HK Kansal, S Singh, P Kumar
Journal of Manufacturing processes 9 (1), 13-22, 2007
3462007
Numerical simulation of powder mixed electric discharge machining (PMEDM) using finite element method
HK Kansal, S Singh, P Kumar
Mathematical and Computer Modelling 47 (11-12), 1217-1237, 2008
2512008
Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review
R Kumar, S Singh, PS Bilga, J Singh, S Singh, ML Scutaru, CI Pruncu
Journal of materials research and technology 10, 1471-1492, 2021
2452021
Development of magneto abrasive flow machining process
S Singh, HS Shan
International Journal of Machine Tools and Manufacture 42 (8), 953-959, 2002
2152002
Optimization of energy consumption response parameters for turning operation using Taguchi method
PS Bilga, S Singh, R Kumar
Journal of cleaner production 137, 1406-1417, 2016
1912016
Multi objective optimization using different methods of assigning weights to energy consumption responses, surface roughness and material removal rate during rough turning …
R Kumar, PS Bilga, S Singh
Journal of cleaner production 164, 45-57, 2017
1692017
Parametric modeling and optimization for wire electrical discharge machining of Inconel 718 using response surface methodology
V Aggarwal, SS Khangura, RK Garg
The International Journal of Advanced Manufacturing Technology 79, 31-47, 2015
1692015
Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques
V Chodha, R Dubey, R Kumar, S Singh, S Kaur
Materials Today: Proceedings 50, 709-715, 2022
1632022
A brief review of jute fibre and its composites
H Singh, JIP Singh, S Singh, V Dhawan, SK Tiwari
Materials Today: Proceedings 5 (14), 28427-28437, 2018
1612018
Study of effect of surface treatment on mechanical properties of natural fiber reinforced composites
JIP Singh, V Dhawan, S Singh, K Jangid
Materials today: proceedings 4 (2), 2793-2799, 2017
1432017
Wear behavior of materials in magnetically assisted abrasive flow machining
S Singh, HS Shan, P Kumar
Journal of Materials Processing Technology 128 (1-3), 155-161, 2002
1072002
Performance parameters optimization (multi-characteristics) of powder mixed electric discharge machining (PMEDM) through Taguchi’s method and utility concept
HK Kansal, S Singh, P Kumar
CSIR, 2006
882006
Critical review on ecological, economical and technological aspects of minimum quantity lubrication towards sustainable machining
G Singh, V Aggarwal, S Singh
Journal of Cleaner Production 271, 122185, 2020
852020
Effect of natural fillers on mechanical properties of GFRP composites
V Dhawan, S Singh, I Singh
Journal of Composites 2013, 2013
852013
Multiple-criteria decision-making and sensitivity analysis for selection of materials for knee implant femoral component
R Kumar, R Dubey, S Singh, S Singh, C Prakash, Y Nirsanametla, ...
Materials 14 (8), 2084, 2021
792021
Application of Taguchi method for optimisation of powder mixed electrical discharge machining
HK Kansal, S Singh, P Kumar
International Journal of Manufacturing Technology and Management 7 (2-4 …, 2005
762005
Effect of curing temperature on mechanical properties of natural fiber reinforced polymer composites
JIP Singh, S Singh, V Dhawan
Journal of natural fibers 15 (5), 687-696, 2018
742018
Parametric optimization of magnetic‐field‐assisted abrasive flow machining by the Taguchi method
S Singh, HS Shan, P Kumar
Quality and Reliability Engineering International 18 (4), 273-283, 2002
732002
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