Paper Title:
Neural Network Based Modeling in Wire Electric Discharge Machining of SiCp/6061 Aluminum Metal Matrix Composite
  Abstract

Wire electric discharge machining (WEDM) process is considered to be one of the most suitable processes for machining metal matrix composite (MMC) materials. Lot of research work has been done on WEDM process, but very few investigations have been done on WEDM of MMCs. The purpose of this research work is to develop the artificial neural network (ANN) model to predict the material removal rate (MRR) during WEDM of SiCp/6061 Al MMC. In this work four input parameters namely servo voltage, pulse-on time, pulse-off time and wire feed rate were used to develop the ANN model. The output parameter of the model was MRR. A Box-Behnken design (BBD) approach of response surface methodology (RSM) was used to generate the input output database required for the development of ANN model. Training of the neural network models were performed on 29 experimental data points. The predicted values obtained from ANN model show that model can predict MRR with reasonable accuracy. The good agreement is obtained between the ANN predicted values and experimental values. In the present case, the value of correlation coefficient (R) equal to 0.9968, is closer to unity for ANN model of MRR. This clearly indicates that prediction accuracy is higher for ANN model.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 26: Modeling, Analysis, and Simulation of Manufacturing Processes III
Edited by
Wu Fan
Pages
6679-6683
DOI
10.4028/www.scientific.net/AMR.383-390.6679
Citation
P. Shandilya, P.K. Jain, N.K. Jain, "Neural Network Based Modeling in Wire Electric Discharge Machining of SiCp/6061 Aluminum Metal Matrix Composite", Advanced Materials Research, Vols. 383-390, pp. 6679-6683, 2012
Online since
November 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yong Feng Guo, Guan Qun Deng, Ji Cheng Bai, Ze Sheng Lu
Abstract:Advanced engineering ceramics are more and more widely employed in modern industries because of their excellent mechanical properties such...
313
Authors: Xiao Hui Zhang, Guo Giang Guo, Ming Chen, Bin Rong, Bing Han, Gang Liu, Yun Shan Zhang
Abstract:Aluminum alloy, as a kind of large-scaled structures, have been widely used in modern aerospace industry. In order to reduce its machining...
543
Authors: Zhi Yong Li, Hua Ji, Hong Li Liu
Abstract:Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical...
893
Authors: Chakaravarthy Ezilarasan, Ke Zhu, A Velayudham, K. Palanikumar
Materials Machining
Abstract:Nimonic C-263 alloy is extensively used in the field of like aerospace, power generators and heat exchangers due to its higher thermal...
794
Authors: Manoj Modi, Gopal Agarwal
Chapter 3: Materials Forming, Machining and Joining
Abstract:Abstract: Ti-6Al-4V are used extensively in aerospace, medical, marine and surgical implants etc. but it is hard to machine. Machining of...
1478