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The Research on Simulation Model in EDM of Insulating Ceramic Si_3N_4

机译:绝缘陶瓷SI_3N_4 EDM仿真模型研究

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摘要

Insulating ceramic materials has been regarded as one of leading materials that promotes the industrial progress of the 21st 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.
机译:绝缘陶瓷材料被认为是促进21世纪工业进步的领先材料之一,由于其独特的电动功能,其特殊品质如高硬度,耐磨性,高耐耐温性和高压性也有所帮助很多。然而,它的建模过程非常困难。传统方法是在烧结成一定的形状后用金刚石研磨它。然而,低效率和高成本肯定会影响其广泛应用。在过去的20年中,EDM在陶瓷材料加工应用中迅速发展,导电陶瓷材料的EDM变得越来越实用。 EDM具有高度非线性特性,并且非常困难使用任何特定的数学表达来描述其技术系统,因此,该领域的研究的发展趋势在于其处理特征及其仿真技术的研究其中,作为一种新技术,人工神经网络为EDM的进一步研究提供了有效的方法。它使用计算机进行某种摘要,简化和仿真人脑功能,这可以构成高度非线性大规模连续动态系统。本文采用人工神经网络的BP(反向传播)算法,使正交实验成为神经网络的学习样本的处理技术效应,从而建立了EDM中多目标技术效应的仿真模型绝缘陶瓷。

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