Back close

Dr. Gokulachandran J.

Vice Chairman | Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore

Qualification: Ph.D
j_gokul@cb.amrita.edu
Research Interest:  Agile Manufacturing,  Risk Management, Green Manufacturing, Optimisation Using Soft Computing Techniques, Prognostics, Reliability Analysis

Bio

Dr. Gokulachandran J. joined Amrita in the year 1996 with a year of experience in Academic as well as Industry and Research. He received his B. E. in Mechanical Engineering and M. E. in Industrial Engineering from Bharathiyar University, Coimbatore. He did his doctoral dissertation from Amrita Vishwa Vidyapeetham. His doctoral dissertation work was focused on: Prediction of Remaining Useful Life of Used Components of Systems for Reuse.

He is interested in teaching as well as in research. He has published ten papers in international journals and conferences and he has served as reviewer for journals International Journal of Quality & Reliability Management and Journal of Engineering Science & Technology.

He is a Life Member of Indian Society for Technical Education (ISTE). He has guided several M. Tech. and B. Tech. projects. And his research interest includes Green manufacturing, Prognostics, Risk Management, Agile Manufacturing, Optimisation using soft computing techniques, Reliability analysis.

Education

YEAR DEGREE/PROGRAM INSTITUTION
2013 PhD Amrita School of Engineering, Amrita VishwaVidyapeetham, Coimbatore,Tamil Nadu, India.
1999 M. E., Industrial Engineering PSG College of Technology, Bharathair University,Coimbatore,Tamil Nadu,India.
1993 B. E., Mechanical Engineering Govt. College of Technology,Bharathair University Coimbatore,Tamil Nadu,India.

WORK EXPERIENCE

Year Affiliation
July 2013 – till date Associate Professor
Department of Mechanical Engineering
Amrita VishwaVidyapeetham
July 2005 – June 2013 Assistant Professor
Department of Mechanical Engineering
Amrita VishwaVidyapeetham
Nov 2001-June 2005 Senior Lecturer
Department of Mechanical Engineering
Amrita VishwaVidyapeetham
Aug 1996 – Oct 2001 Lecturer
Department of Mechanical Engineering
Maharaja Engineering College, Coimbatore
Dec 1994 – Aug 1996 Lecturer
Department of Mechanical Engineering
Maharaja Engineering College, Coimbatore
Jan 1994 – Dec 1994 Associate Lecturer
Arulmigu Chandikeswrarer Polytechnic,Coimbatore

Courses handled

  • Engineering drawing
  • Machine drawing
  • Design of machine elements
  • Process planning and cost estimation
  • Total quality management
  • Enterprise management
  • Managerial statistics
  • Quality control and reliability engineering
  • Optimization techniques in engineering
  • Simulation modeling of manufacturing
  • Theory of machines
  • Reliability Engineering
  • Quantitative methods
  • Simulation of manufacturing systems

Reviewer – Journals

  1. Multi discipline modeling in materials and structure
  2. International journal of quality and Reliability Management

Membership in Professional Bodies

  1. ISTE, Life Member
  2. Institute of Engineers India, Life Member

Others

  1. BOS member in Amrita Vishwa Vidyapeetham
  2. Doctoral committee member in Amrita Vishwa Vidyapeetham
  3. Doctoral committee member in Anna University
  4. Guiding one PhD candidate

 

Publications

Journal Article

Year : 2020

Application of artificial neural network techniques in computer aided process planning – A review

Cite this Research Publication : Natarajan, K.K., Gokulachandran J, “Application of artificial neural network techniques in computer aided process planning - A review”, International Journal of Process Management and Benchmarking, Vol.11, Issue.1, pp: 80-100, DOI: 10.1504/IJPMB.2021.112257, August 2020.

Publisher : International Journal of Process Management and Benchmarking

Year : 2020

Artificial neural network based machining operation selection for prismatic components

Cite this Research Publication : K. K. Natarajan and Dr. Gokulachandran J., “Artificial Neural Network Based Machining Operation Selection for Prismatic Components”, International Journal of Advanced Science, Engineering and information Technology, vol. 10, no. 2, pp. 618–628, 2020.

Publisher : International Journal on Advanced Science, Engineering and Information Technology

Year : 2019

Effect of composition and aging time on hardness and wear behavior of Cu-Ni-Sn spinodal alloy

Cite this Research Publication : Dr. Ilangovan S., Vaira Vignesh R., Dr. Padmanaban R., and Dr. Gokulachandran J., “Effect of composition and aging time on hardness and wear behavior of Cu-Ni-Sn spinodal alloy”, Journal of Central South University, vol. 26, no. 10, pp. 2634-2642, 2019.

Publisher : Journal of Central South University, Central South University of Technology,

Year : 2019

The Engine Testing Work-flow Analysis through Value Stream Mapping and Simulation

Cite this Research Publication : Sreejyothi, M. Thennarasu, and Dr. Gokulachandran J., “The Engine Testing Work-flow Analysis through Value Stream Mapping and Simulation”, International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), vol. 9, no. 2, pp. 477-484, 2019.

Publisher : International Journal of Mechanical and Production Engineering Research and Development (IJMPERD)

Year : 2018

Prediction of remaining useful life of cutting tools: a comparative study using soft computing methods

Cite this Research Publication : Dr. Gokulachandran J. and Dr. Padmanaban R., “Prediction of Remaining Useful life of Cutting Tools: A Comparative Study using Soft Computing Methods”, International Journal of Process Management and Benchmarking, vol. 8, no. 2, pp. 156-181, 2018.

Publisher : International Journal of Process Management and Benchmarking

Year : 2015

Risk assessment and management in a manufacturing industry

Cite this Research Publication : M. Nithin and Dr. Gokulachandran J., “Risk assessment and management in a manufacturing industry”, International Journal of Applied Engineering Research, vol. 10, pp. 17303-17314, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Prediction of cutting tool life based on Taguchi approach with fuzzy logic and support vector regression techniques

Cite this Research Publication : Dr. Gokulachandran J. and Mohandas, K., “Prediction of cutting tool life based on Taguchi approach with fuzzy logic and support vector regression techniques”, International Journal of Quality & Reliability Management, vol. 32, pp. 270-290, 2015.

Publisher : International Journal of Quality Reliability Management

Year : 2015

Implementation of cleaner production strategies in a manufacturing industry

Cite this Research Publication : K. S. Sangeeth Kumar and Dr. Gokulachandran J., “Implementation of cleaner production strategies in a manufacturing industry”, International Journal of Applied Engineering Research, vol. 10, pp. 17291-17302, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2013

Comparative study of two soft computing techniques for the prediction of remaining useful life of cutting tools

Cite this Research Publication : Dr. Gokulachandran J., K. Mohandas, and Dr. Padmanaban R., “Comparative study of two soft computing techniques for the prediction of remaining useful life of cutting tools”, Journal of Intelligent Manufacturing, vol. 26, pp. 255-268, 2013.

Publisher : Journal of Intelligent Manufacturing

Year : 2013

Application of artificial neural network and fuzzy logic method for remaining useful life assessment of cutting tools

Cite this Research Publication : Dr. Gokulachandran J. and Mohandas, K., “Application of artificial neural network and fuzzy logic method for remaining useful life assessment of cutting tools”, International Journal of Logistics and Supply Chain management, vol. 5, pp. 9-19, 2013.

Publisher : International Journal of Logistics and Supply Chain management

Year : 2012

Tool life prediction model using regression and artificial neural network analysis

Cite this Research Publication : Dr. Gokulachandran J. and Mohandas, K., “Tool life prediction model using regression and artificial neural network analysis”, International Journal of Production and Quality Engineering, vol. 3, no. 1, pp. 9-16, 2012.

Publisher : International Journal of Production and Quality Engineering

Year : 2012

Predicting remaining useful life of cutting tools with regression and ANN analysis

Cite this Research Publication : Dr. Gokulachandran J. and K. Mohandas, “Predicting remaining useful life of cutting tools with regression and ANN analysis”, International Journal of Productivity and Quality Management, vol. 9, pp. 502-518, 2012.

Publisher : International Journal of Productivity and Quality Management

Year : 2012

Application of Regression and Fuzzy Logic Method for Prediction of Tool Life

Cite this Research Publication : Dr. Gokulachandran J. and Mohandas, K., “Application of Regression and Fuzzy Logic Method for Prediction of Tool Life”, Procedia Engineering, vol. 38, pp. 3900 - 3912, 2012.

Publisher : Procedia Engineering

Year : 2006

Optimum Scheduling/Cost Control Using Network Analysis

Cite this Research Publication : P. Raghuram and .Gokulachandran, J., “Optimum Scheduling/Cost Control Using Network Analysis”, Journal of Industrial Engineering, vol. XXXV , pp. 11-18., 2006.

Publisher : Journal of Industrial Engineering

Year : 2005

Design for quality in agile manufacturing environment through modified orthogonal array-based experimentation

Cite this Research Publication : Agile manufacturing systems, Agile Production, Arrays, Customer satisfaction, Delphi method, Experimentation, Mathematical models, Pumps, Quality control, Quality improvement, Societies and institutions, Taguchi methods

Publisher : Journal of Manufacturing Technology Management

Conference Proceedings

Year : 2016

Numerical modelling of thermal phenomenon in friction stir welding of aluminum plates

Cite this Research Publication : Vaira Vignesh R., Dr. Padmanaban R., Arivarasu, M., Dr. Thirumalini S., Dr. Gokulachandran J., and Ram, M. Sesha Saty, “Numerical modelling of thermal phenomenon in friction stir welding of aluminum plates”, IOP Conference Series: Materials Science and Engineering, vol. 149. p. 012208, 2016.

Publisher : IOP Conference Series: Materials Science and Engineering

Year : 2016

Analysing the strength of friction stir spot welded joints of aluminium alloy by fuzzy logic

Cite this Research Publication : Vaira Vignesh R., Dr. Padmanaban R., Arivarasu, M., Karthick, K. P., Sundar, A. A., and Dr. Gokulachandran J., “Analysing the strength of friction stir spot welded joints of aluminium alloy by fuzzy logic”, IOP Conference Series: Materials Science and Engineering (International conference on advances in Materials and Manufacturing Applications(ICONAMMA 2016)), vol. 149. Institute of Physics Publishing, p. 012136, 2016.

Publisher : IOP Conference Series: Materials Science and Engineering (International conference on advances in Materials and Manufacturing Applications(ICONAMMA 2016)), Institute of Physics Publishing.

Year : 2012

Prediction of tool life using fuzzy method

Cite this Research Publication : Dr. Gokulachandran J. and K, M., “Prediction of tool life using fuzzy method”, International Conference on Recent Advances in Mechanical Engineering. MGR university, Chennai, pp. 7-15, 2012.

Publisher : MGR university

Year : 2011

Assessment of reusability of cutting tools for reuse using machine learning approach

Cite this Research Publication : Dr. Gokulachandran J. and K, M., “Assessment of reusability of cutting tools for reuse using machine learning approach”, International Conference on Simulation Modeling and Analysis (COSMA2011). Amrita School of Engineering, Coimbatore, pp. 663-673, 2011.

Publisher : COSMA2011

Year : 2010

Tool life prediction model for uncoated carbide tool using regression analysis and artificial neural network

Cite this Research Publication : Dr. Gokulachandran J. and K, M., “Tool life prediction model for uncoated carbide tool using regression analysis and artificial neural network”, International Conference on Technological Trends. College of Engineering, Trivandrum, pp. 666-671, 2010.

Publisher : College of Engineering, Trivandrum

Book Chapter

Year : 2018

Comparison of statistical and soft computing models for predicting hardness and wear rate of Cu-Ni-Sn alloy

Cite this Research Publication : Dr. Ilangovan S., Vaira Vignesh R., Dr. Padmanaban R., and Dr. Gokulachandran J., “Comparison of statistical and soft computing models for predicting hardness and wear rate of Cu-Ni-Sn alloy”, in Progress in Computing, Analytics and Networking, Advances in Intelligent Systems and Computing, vol. 710, , Ed. Springer Verlag, 2018, pp. 559-571.

Publisher : Progress in Computing, Analytics and Networking, Advances in Intelligent Systems and Computing, Springer Verlag

Admissions Apply Now