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Dr. Kapil Kumar Goyal
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Optimal configuration selection for reconfigurable manufacturing system using NSGA II and TOPSIS
KK Goyal, PK Jain, M Jain
International Journal of Production Research 50 (15), 4175-4191, 2012
2052012
A novel methodology to measure the responsiveness of RMTs in reconfigurable manufacturing system
KK Goyal, PK Jain, M Jain
Journal of Manufacturing Systems 32 (4), 724-730, 2013
1122013
A comprehensive approach to operation sequence similarity based part family formation in the reconfigurable manufacturing system
KK Goyal, PK Jain, M Jain
International Journal of Production Research 51 (6), 1762-1776, 2013
1012013
Design of reconfigurable flow lines using MOPSO and maximum deviation theory
KK Goyal, PK Jain
The International Journal of Advanced Manufacturing Technology 84, 1587-1600, 2016
492016
Prediction of optimal conditions for WEDM of Al 6063/ZrSiO4 (p) MMC
A Sharma, MP Garg, KK Goyal
Procedia materials science 6, 1024-1033, 2014
462014
Influence of process parameters on mechanical strength, build time, and material consumption of 3D printed polylactic acid parts
J Singh, KK Goyal, R Kumar, V Gupta
Polymer Composites, 2022
272022
A soft computing-based analysis of cutting rate and recast layer thickness for AZ31 alloy on WEDM using RSM-MOPSO
KK Goyal, N Sharma, R Dev Gupta, G Singh, D Rani, HK Banga, R Kumar, ...
Materials 15 (2), 635, 2022
232022
Multiple Objective Optimization of Reconfigurable Manufacturing System
K Goyal, P Jain, M Jain
Proceedings of the International Conference on Soft Computing for Problem …, 2012
212012
Effect of filling percentage and raster style on tensile behavior of FDM produced PLA parts at different build orientation
J Singh, KK Goyal, R Kumar
Materials Today: Proceedings 63, 433-439, 2022
202022
Morphological and optical studies of ZnO-silica nanocomposite thin films synthesized by time dependent CBD
S Kumar, R Seth, S Panwar, KK Goyal, V Kumar, RK Choubey
Journal of Electronic Materials 50, 3462-3470, 2021
192021
Prediction of optimal process parameters for abrasive assisted drilling of SS304
KK Goyal, V Jain, S Kumari
Procedia materials science 6, 1572-1579, 2014
172014
Development of artificial intelligence‐based neural network prediction model for responses of additive manufactured polylactic acid parts
J Singh, KK Goyal, R Kumar, V Gupta
Polymer Composites, 2022
162022
Evolution, principles and recent trends in reconfigurable manufacturing system
G Kumar, KK Goyal, NK Batra
Journal of Physics: Conference Series 1240 (1), 012161, 2019
162019
Measurement of performance characteristics of WEDM while processing AZ31 Mg-alloy using Levy flight MOGWO for orthopedic application
KK Goyal, N Sharma, RD Gupta, S Gupta, D Rani, D Kumar, VS Sharma
The International Journal of Advanced Manufacturing Technology 119 (11 …, 2022
142022
Applying swarm intelligence to design the reconfigurable flow lines
KK Goyal, PK Jain, M Jain
International journal of simulation modelling 12 (1), 17-26, 2013
142013
8Ds method of problem solving within automotive industry: Tools used and comparison with DMAIC
RK Phanden, A Sheokand, KK Goyal, P Gahlot, HI Demir
Materials Today: Proceedings 65, 3266-3272, 2022
122022
A state-of-the-art review on implementation of digital twin in additive manufacturing to monitor and control parts quality
RK Phanden, SV Aditya, A Sheokand, KK Goyal, P Gahlot, A Jacso
Materials Today: Proceedings 56, 88-93, 2022
102022
Optimization of cutting parameters for surface roughness of stainless steel SS304 in abrasive assisted drilling
S Kumari, KK Goyal, V Jain
Int. J. Mech. Eng. Robot. Res 2, 209-215, 2013
102013
Additive Manufacturing for the Development of Biological Implants, Scaffolds, and Prosthetics
A Babbar, V Jain, D Gupta, A Sharma, C Prakash, V Kumar, KK Goyal
Additive Manufacturing Processes in Biomedical Engineering, 27-46, 2022
82022
Investigation of wire electrical discharge machining of ZrSiO4p/Al 6063 MMC
A Sharma, MP Garg, KK Goyal, A Kumar
International Journal of Machining and Machinability of Materials 18 (4 …, 2016
72016
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Articles 1–20