Intelligent control of any manufacturing process requires an appropriate modeling of the process. Wire-cut EDM, being a highly complex process with non-linear behavior, is modeled by fuzzy logic approach in this paper. The knowledge base for the fuzzy model has been developed using the experimental results. Membership functions are defined for each parameter and a total of 10 input and 2 output parameters are considered to build the model. The results of the fuzzy model are compared with experimental values and a statistical analysis is presented.

Shunmugam M S

Department of Mechanical Engineering

Sumit Sai Kumar

I. K. Kaul

Electric discharges

Fuzzy sets

Intelligent control

Knowledge based systems

Machining

Mathematical models

Membership functions

Statistical methods

WIRE-CUT ELECTRODISCHARGE MACHINING (EDM)

Process control

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

Fuzzy logic modeling of wire-cut EDM process

Proceedings of SPIE - The International Society for Optical Engineering

Wire-EDM is a highly complex process, which is characterized by non-linear behavior. Due to a large number of input parameters, a data mining approach based on machine learning is followed in this paper to model this process. The model was trained on experimental data collected from carefully conducted experiments. The model was also tested on additional data. It is found that the model built using data mining provides results with desired accuracy. The important parameters have been identified and reported. © 2003 Elsevier Science B.V. All rights reserved.

Journal of Materials Processing Technology

Data mining applied to wire-EDM process

Array display tool ADT reference manual. Version 1.0

CIRP Annals

About the Application of Fuzzy Controllers in High-Performance Die-Sinking EDM Machines

Proceedings of the IEEE

Applications of fuzzy sets and approximate reasoning

International Journal of Production Research

Analysis and optimization of parameter combinations in wire electrical discharge machining

Physics Education

On blackbody radiation

Journal	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States
ISSN	0277786X
Open Access	No