Intelligent Choice of Characteristic Parameters of Oilstone in Honing of Titanium alloy Cylinder Based on Artificial Neural Network

摘要：

Titanium alloys have good mechanical properties and organizational stability．However， due to the larger viscousity of titanium．a reasonable choice of the characteristic parameters of oilstone will directly affect the quality and efbciency of honing processing．This article solved multi-objective problem using artificial neural network with fast convergence and high precision． Based on a comprehensive analysis of the relationship between the workpiece material，materials status，surface hardness，the required surface quality and various parameters of oilstone，the improved artificial neural network algorithm-GCAQBP was adopted，through coding optimization of input and output parameters．model of intelligent choice of oilstone’S parameters was constructed about titanium alloy cylinder honing processing．Through experimental studies，it iS shown that the intelligent model Can choose quicklY with high reliability compared with the traditional experience．

关键词： Honing of Titanium alloy Cylinder Artificial Neural Network Intelligent Choice of Characteristic Parameters of Oilstone

作者: Y.F.Wen Y.N.Rui J.D.Cao

作者单位: Suzhou University,suzhou,jiangsu,215002,china Suzhou Institute of Industrial Technology,suzhou．jiang Suzhou University,suzhou,jiangsu,215002,china Suzhou Institute of Industrial Technology,suzhou．jiangsu,215104,china

会议类型: 国际会议

会议名称: The 3rd Conference of Cross-Strait Engineering Education and Ceeusro & 1st International Conference on Engineering Technologies and Ceeusro(ICETC2009)(第三届工程技术与产学研研讨会暨第一届国际功能制造技术学术会议)

会议地点: 常州

会议语种:英文

页码: 35-39

在线出版日期: 2009-11-19（万方平台首次上网日期，不代表论文的发表时间）