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Development of an intelligent process model for EDM

DSpace at IIT Bombay

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Field Value
 
Title Development of an intelligent process model for EDM
 
Creator JOSHI, SN
PANDE, SS
 
Subject discharge machining process
material removal rate
disk heat-source
neural-network
theoretical-models
erosion model
algorithm
optimization
temperatures
parameters
electric discharge machining (edm)
process modeling and simulation
finite-element method (fem)
backpropagation neural networks (bpnn)
 
Description This paper reports the development of an intelligent model for the electric discharge machining (EDM) process using finite-element method (FEM) and artificial neural network (ANN). A two-dimensional axisymmetric thermal (FEM) model of single-spark EDM process has been developed based on more realistic assumptions such as Gaussian distribution of heat flux, time- and energy-dependent spark radius, etc. to predict the shape of crater cavity, material removal rate, and tool wear rate. The model is validated using the reported analytical and experimental results. A neural-network-based process model is proposed to establish relation between input process conditions (discharge power, spark on time, and duty factor) and the process responses (crater geometry, material removal rate, and tool wear rate) for various work-tool work materials. The ANN model was trained, tested, and tuned using the data generated from the numerical (FEM) simulations. The ANN model was found to accurately predict EDM process responses for chosen process conditions. It can be used for the selection of optimum process conditions for EDM process.
 
Publisher SPRINGER LONDON LTD
 
Date 2011-08-30T06:54:37Z
2011-12-26T12:58:48Z
2011-12-27T05:49:22Z
2011-08-30T06:54:37Z
2011-12-26T12:58:48Z
2011-12-27T05:49:22Z
2009
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 45(3-4), 300-317
0268-3768
http://dx.doi.org/10.1007/s00170-009-1972-4
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12225
http://hdl.handle.net/10054/12225
 
Language en