The Research on Simulation Model in EDM of Insulating Ceramic Si₃N₄

Abstract:

Insulating ceramic materials has been regarded as one of leading materials that promotes the industrial progress of the 21^st century due to its unique electric and magnetic functions, and its special qualities such as high hardness, wear resistance, high temperature resistance and high pressure resistance also help a lot. Yet its modeling process is quite difficult. The traditional method is to grind it with a diamond after sintering into a certain shape. However, the low efficiency and the high cost certainly affect its widely application. Over the past 20 years, EDM has developed rapidly in ceramic material processing application, and EDM of conductive ceramic materials has become more and more practical. EDM is of the highly nonlinear characteristic, and it is quite difficult to use any specific mathematical expressions to describe its technological system, therefore, the developing trend of the researches in this field lies in the studies of its processing characters and its simulation techniques, of which, the artificial neural network, as a new technology, has provided an effective way for the further researches of EDM. It uses the computer to do a certain abstract, simplification and simulation of the functions of human brain, which can constitute a highly nonlinear large-scale continuous dynamic system. This paper employs the BP (Back Propagation) algorithm of the artificial neural network and makes the result of the orthogonal experiments on the processing technology effect as the learning samples of neural networks, thus establishes the simulation model of the multi-objective technology effect in EDM of insulating ceramic.

• Periodical: Advanced Materials Research (Volumes 538-541)
• Pages: 556-559
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.538-541.556
• Online since: June 2012
• Authors: Xiao Bing Xu, Tian Kai Xiong, Li Jun Tan, Yi Zeng
• Keywords: Electrical Discharge Machining (EDM), Insulating Ceramic, Neural Network (NN), Simulation Model

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