Adaptive neuro fuzzy inference system modelling of multi-objective optimisation of electrical discharge machining process using single-wall carbon nanotubes

Abstract

Electrical discharge machining (EDM) has new avenues for finishing of hard and brittle materials with nano surface finish, high tolerance and accuracy. The single-wall carbon nanotube (SWCNT) is mixed with kerosene dielectric fluid in die sinking EDM process. The analysis of surface characteristics like surface roughness and metal removal rate of AISID2 tool steel materials were carried out and an excellent machined nano finish can be obtained by setting the machining parameters at optimum level. This study deals with modelling of surface roughness with SWCNT-based EDM using adaptive neuro fuzzy inference system approach. The first-order Sugeno-type fuzzy interference modelling has been used to predict the output parameters and compared with experimental values. The R² value of regression model for with CNT is 0.706 and for without CNT is 0.652. The high R² indicate that better model fit the data very well using CNT-based machining. The proposed model can also be used for estimating surface roughness and metal removal rate online.

Keywords:

• Single-wall carbon nanotube
• electric discharge machining
• grey relational analysis
• ANFIS

Additional information

Notes on contributors

S Prabhu

Dr Prabhu Sethuramalingam received his BE in mechanical engineering from Bharathiar University, India, ME in production engineering from Madurai Kamaraj University, India, and PhD in the area of nano machining at SRM University, Chennai, India. He has 4 years’ industrial experience as a production engineer, and 13 years of teaching and research experience. Currently, he is a Professor in the Department of Mechanical Engineering at SRM University, India. He has won the best teacher award and the best project award. He is the author of 47 international journal papers, 18 international conferences and 24 national conference papers. His research interest includes nanotechnology, nanofluids, nanomachining, nanocomposites, precision engineering and robotics.

B K Vinayagam

Dr B. K. Vinayagam completed a five-year integrated graduate program in machine tool design and production at the Voroshilovgrad Machine Building Institute, Russia, and received his PhD in flexible manufacturing systems from the Voronez Polytechnic Institute, Russia. His professional career started in research and development laboratory related to heavy vehicles under the Ministry of Defence and then 14 years in the Tata Iron and Steel Company in various positions. Currently, he is working as a professor in the Mechatronics Department of SRM University, India. He is involved in different consultancy and developmental projects. He has published 60 research papers in international journals and five at national journals.