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Girish Kant Garg
Girish Kant Garg
Verified email at pilani.bits-pilani.ac.in
Title
Cited by
Cited by
Year
Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining
G Kant, KS Sangwan
Journal of cleaner production 83, 151-164, 2014
3822014
Optimization of machining parameters to minimize surface roughness using integrated ANN-GA approach
KS Sangwan, S Saxena, G Kant
Procedia Cirp 29, 305-310, 2015
2392015
Predictive modelling and optimization of machining parameters to minimize surface roughness using artificial neural network coupled with genetic algorithm
G Kant, KS Sangwan
Procedia Cirp 31, 453-458, 2015
2302015
Predictive modelling for energy consumption in machining using artificial neural network
G Kant, KS Sangwan
Procedia Cirp 37, 205-210, 2015
992015
Demand forecasting at retail stage for selected vegetables: a performance analysis
R Priyadarshi, A Panigrahi, S Routroy, GK Garg
Journal of Modelling in Management 14 (4), 1042-1063, 2019
912019
Optimization of machining parameters for improving energy efficiency using integrated response surface methodology and genetic algorithm approach
KS Sangwan, G Kant
Procedia CIRP 61, 517-522, 2017
892017
Predictive modeling for power consumption in machining using artificial intelligence techniques
G Kant, KS Sangwan
Procedia CIRP 26, 403-407, 2015
782015
A bibliometric analysis of fintech trends: An empirical investigation
G Garg, M Shamshad, N Gauhar, MI Tabash, B Hamouri, LN Daniel
International Journal of Financial Studies 11 (2), 79, 2023
472023
A novel approach to model the energy consumption of machine tools for machining cylindrical parts
S Pawanr, GK Garg, S Routroy
Journal of Manufacturing Processes 84, 28-42, 2022
422022
Multi-objective optimization of machining parameters to minimize surface roughness and power consumption using TOPSIS
S Pawanr, GK Garg, S Routroy
Procedia CIRP 86, 116-120, 2019
422019
Modelling of variable energy consumption for CNC machine tools
S Pawanr, GK Garg, S Routroy
Procedia Cirp 98, 247-251, 2021
342021
Postharvest supply chain losses: A state-of-the-art literature review and bibliometric analysis
R Priyadarshi, S Routroy, GK Garg
Journal of Advances in Management Research 18 (3), 443-467, 2021
282021
Development of an empirical model for optimization of machining parameters to minimize power consumption
GK Garg, S Garg, KS Sangwan
IOP Conference Series: Materials Science and Engineering 346, 012078, 2018
242018
Prediction of energy efficiency, power factor and associated carbon emissions of machine tools using soft computing techniques
S Pawanr, GK Garg, S Routroy
International Journal on Interactive Design and Manufacturing (IJIDeM) 17 (3 …, 2023
202023
Prediction of energy consumption of machine tools using multi-gene genetic programming
S Pawanr, GK Garg, S Routroy
Materials Today: Proceedings 58, 135-139, 2022
192022
Prediction and optimization of machining parameters for minimizing surface roughness and power consumption during turning of AISI 1045 steel
G Kant
BITS Pilani, 2016
162016
Eco-friendly tool-based electrochemical polishing of additively manufactured metallic components
SSO Dadi, DS Patel, G Patil, GK Garg
Journal of Manufacturing Processes 108, 252-267, 2023
142023
Selection of optimum cutting parameters for minimization of specific energy consumption during machining of Al 6061
S Pawanr, GK Garg
Journal of Physics: Conference Series 1240 (1), 012064, 2019
142019
Predictive modeling of turning operations using response surface methodology
G Kant, V Rao V, KS Sangwan
Applied Mechanics and Materials 307, 170-173, 2013
142013
Development of an empirical model to quantify carbon emissions for machining of cylindrical parts
S Pawanr, GK Garg, S Routroy
Environmental Science and Pollution Research 30 (8), 21565-21587, 2023
132023
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Articles 1–20