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 | 64 | 2005 |
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 | 53 | 2015 |
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 | 49 | 2016 |
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 | 24 | 2015 |
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 | 19 | 2018 |
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 | 18 | 2012 |
IOP Conference Series RV Vignesh, R Padmanaban, M Arivarasu, S Thirumalini, ... Materials Science and Engineering 149, 012208, 2016 | 14 | 2016 |
Application of regression and fuzzy logic method for prediction of tool life J Gokulachandran, K Mohandas Procedia Engineering 38, 3900-3912, 2012 | 13 | 2012 |
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 | 12 | 2018 |
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 | 10 | 2019 |
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 | 10 | 2016 |
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 | 9 | 2021 |
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 | 8 | 2021 |
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 | 7 | 2019 |
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 | 7 | 2019 |
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 | 7 | 2011 |
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 | 6 | 2020 |
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 | 5 | 2021 |
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 | 4 | 2020 |
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 | 1 | 2016 |