Paper Title:
Development of Parameters Selection System for Ultrasonic Vibration Assisted Electro-Discharge Machining
  Abstract

Because the machining of ultrasonic vibration assisted electro-discharge machining (UEDM) is a very complex process and it is too difficult to describe precisely every influencing factor with an accurate mathematics model, the study of parameters selection system is necessary and important for the practical application of machining method, the improvement of machining efficiency and minimizing the tool wear ratio (TWR). In this paper, the model and the corresponding database are built for UEDM based on the back propagation (BP) algorithm artificial neural network (ANN) to optimize machining parameters. Through learning and training, this system realizes the intelligent selection of machining parameters. As shown by the experiment results, the predictions accord with the test results, which shows that the reasonable and reliable project of UEDM can be provided by the system. With the increase of the machining sample, the machining database can be enriched and the application range will be expanded, so this system has the excellent fault-tolerance and extensible quality.

  Info
Periodical
Materials Science Forum (Volumes 471-472)
Edited by
Xing Ai, Jianfeng Li and Chuanzhen Huang
Pages
687-691
DOI
10.4028/www.scientific.net/MSF.471-472.687
Citation
Y. J. Hu, J. H. Zhang, X.F. Wang, S. F. Ren, "Development of Parameters Selection System for Ultrasonic Vibration Assisted Electro-Discharge Machining", Materials Science Forum, Vols. 471-472, pp. 687-691, 2004
Online since
December 2004
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: Ying Ping Qian, Ju Hua Huang, Xi Zhi Zhou, Masanori Kunieda
Abstract:In this paper, the attempt was made to study dry WEDG (Wire Electrical Discharge Grinding), the differences between dry WEDG and wet WEDG,...
2146
Authors: Shu You Zheng, Xipeng Xu
Abstract:Ultrasonic machining has been proven to be a promising machining method on hard and brittle materials. However, due to the absence of high...
150