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Title:Application of artificial neural network in tool path pattern selection for die cavity machining
Authors: LIU Zhi-tao~1 WANG Min-jie~1 CAI Yu-jun~(1 2)(1.Key Laboratory for Precision & Special Machining Technology of the Ministry of Education Dalian University ofTechnology Dalian liaoning 116024 China 2.Department of Mechanical Engineering Tangshan College  T 
Unit:  
KeyWords: ANN die cavity NC machining tool path pattern 
ClassificationCode:TP183
year,vol(issue):pagenumber:2005,30(6):53-57
Abstract:
An artificial neural network(ANN)-based model of tool path pattern selection for die cavity roughing is set up,and the training specimens are also designed in this paper.A three-layer BP neural network is adopted to simulate the non-linear relationship between the geometric parameters of the die cavity and NC tool path patterns and then the optimum tool path pattern for cutting layers of the die cavity is chosen.Examples demonstrate the validity and convenience of the method.
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Reference:
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