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gokulachandran Jaganathan
gokulachandran Jaganathan
amrita university
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Cited by
Cited by
Year
Design for quality in agile manufacturing environment through modified orthogonal array‐based experimentation
SR Devadasan, S Goshteeswaran, J Gokulachandran
Journal of Manufacturing Technology Management 16 (6), 576-597, 2005
642005
Comparative study of two soft computing techniques for the prediction of remaining useful life of cutting tools
J Gokulachandran, K Mohandas
Journal of Intelligent Manufacturing 26 (2), 255-268, 2015
532015
Numerical modelling of thermal phenomenon in friction stir welding of aluminum plates
RV Vignesh, R Padmanaban, M Arivarasu, S Thirumalini, ...
IOP conference series: materials science and engineering 149 (1), 012208, 2016
492016
Prediction of cutting tool life based on Taguchi approach with fuzzy logic and support vector regression techniques
J Gokulachandran, K Mohandas
International Journal of Quality & Reliability Management 32 (3), 270-290, 2015
242015
Prediction of remaining useful life of cutting tools: a comparative study using soft computing methods
J Gokulachandran, R Padmanaban
International Journal of Process Management and Benchmarking 8 (2), 156-181, 2018
192018
Predicting remaining useful life of cutting tools with regression and ANN analysis
J Gokulachandran, K Mohandas
International Journal of Productivity and Quality Management 9 (4), 502-518, 2012
182012
IOP Conference Series
RV Vignesh, R Padmanaban, M Arivarasu, S Thirumalini, ...
Materials Science and Engineering 149, 012208, 2016
142016
Application of regression and fuzzy logic method for prediction of tool life
J Gokulachandran, K Mohandas
Procedia Engineering 38, 3900-3912, 2012
132012
Comparison of statistical and soft computing models for predicting hardness and wear rate of Cu-Ni-Sn alloy
S Ilangovan, R Vaira Vignesh, R Padmanaban, J Gokulachandran
Progress in Computing, Analytics and Networking: Proceedings of ICCAN 2017 …, 2018
122018
Effect of composition and aging time on hardness and wear behavior of Cu-Ni-Sn spinodal alloy
S Ilangovan, R Vaira Vignesh, R Padmanaban, J Gokulachandran
Journal of Central South University 26 (10), 2634-2642, 2019
102019
Analysing the strength of friction stir spot welded joints of aluminium alloy by fuzzy logic
RV Vignesh, R Padmanaban, M Arivarasu, KP Karthick, AA Sundar, ...
IOP Conference Series: Materials Science and Engineering 149 (1), 012136, 2016
102016
Optimisation and prediction of machining parameters in EDM for Al-ZrO2 using soft computing techniques with Taguchi method
GA Ramaswamy, A Krishna, M Gautham, SS Sudharshan, ...
International Journal of Process Management and Benchmarking 11 (6), 864-890, 2021
92021
Application of artificial neural network techniques in computer aided process planning-a review
KK Natarajan, J Gokulachandran
International Journal of Process Management and Benchmarking 11 (1), 80-100, 2021
82021
Predictive model development and optimization of surface roughness parameter in milling operations by means of fuzzy logic and artificial neural network approach
M Vignesh, V Sasindran, SA Krishna, A Madusudhanan, ...
Iop conference series: Materials science and engineering 577 (1), 012011, 2019
72019
Optimization of milling parameters of gun metal using fuzzy logic and artificial neural network approach
V Sasindran, M Vignesh, SA Krishna, A Madusudhanan, ...
IOP Conference Series: Materials Science and Engineering 577 (1), 012010, 2019
72019
Tool life prediction model using regression and artificial neural network analysis
J Gokulachandran, K Mohandas
International Journal of Production and Quality Engineering 3 (1), 9-16, 2011
72011
A comprehensive study in finding the risk assessment using a fuzzy analytical hierarchal model in textile industry: A case study
J Gokulachandran
Materials Today: Proceedings 24, 895-903, 2020
62020
A study on the usage of current signature for tool condition monitoring of drill bit
J Gokulachandran, BBK Reddy
Materials Today: Proceedings 46, 4532-4536, 2021
52021
Artificial neural network based machining operation selection for prismatic components
KK Natarajan, J Gokulachandran
Int. J. Adv. Sci. Eng. Inf. Technol 10 (2), 618-628, 2020
42020
Analysing the strength of friction stir spot welded joints of aluminium alloy by fuzzy logic
R Vaira Vignesh, R Padmanaban, M Arivarasu, KP Karthick, ...
Materials Science and Engineering Conference Series 149 (1), 012136, 2016
12016
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