Prediction of cutting force for self-propelled rotary tool using artificial neural networks

Journal of Materials Processing Technology

Volumn 180, Issue 1-3, 2006, Pages 23-29

  Hao, Wangshen ^a   Zhu, Xunsheng ^a   Li, Xifeng ^b   Turyagyenda, Gelvis ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b HENAN POLYTECHNIC UNIVERSITY   (China)

Author keywords

BP; Cutting force; GA; Neural network; Self propelled rotary tool

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

CUTTING FORCE; SELF-PROPELLED ROTARY TOOL; TOOL INCLINATION ANGLE;

ROTATING MACHINERY;

EID: 33748081789     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2006.04.123     Document Type: Article

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