Data mining applied to wire-EDM process

Abstract 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.

[1]  Muthukumar Shunmugam,et al.  Modeling of wire-cut EDM by neural network , 1999, Optics East.

[2]  G. Byrne,et al.  Observations on chip formation and acoustic emission in machining Ti–6Al–4V alloy , 2001 .

[3]  Mustafa İlhan Gökler,et al.  Experimental investigation of effects of cutting parameters on surface roughness in the WEDM process , 2000 .

[4]  Kamlakar P Rajurkar,et al.  Analysis and optimization of parameter combinations in wire electrical discharge machining , 1991 .

[5]  Peter Clark,et al.  Rule Induction with CN2: Some Recent Improvements , 1991, EWSL.

[6]  Peter C. Nelson,et al.  An Intelligent Data Mining System for Drop Test Analysis of Electronic Products Manufacturing , 2001 .

[7]  T. R. Bement,et al.  Taguchi techniques for quality engineering , 1995 .

[8]  K. P. Rajurkar,et al.  Artificial neural network approach in modeling of EDM and wire-EDM processes , 1995 .

[9]  Michael J. A. Berry,et al.  Data mining techniques - for marketing, sales, and customer support , 1997, Wiley computer publishing.

[10]  Y. S. Tarng,et al.  Determination of optimal cutting parameters in wire electrical discharge machining , 1995 .

[11]  Peter Clark,et al.  The CN2 Induction Algorithm , 1989, Machine Learning.

[12]  M. S. Shunmugam,et al.  Fuzzy logic modeling of wire-cut EDM process , 2000, SPIE Optics East.

[13]  Yunn-Shiuan Liao,et al.  Determination of finish-cutting operation number and machining-parameters setting in wire electrical discharge machining , 1999 .

[14]  J. Ross Quinlan,et al.  Improved Use of Continuous Attributes in C4.5 , 1996, J. Artif. Intell. Res..