A predicted modelling of tool life of high-speed milling for SKD61 tool steel
作者： M.K. Tsai , B.Y. Lee , S.F. Yu
DOI: 10.1007/S00170-003-1596-Z
关键词: Mean squared prediction error 、 Network architecture 、 Engineering drawing 、 Mean squared error 、 Tool steel 、 End mill 、 Depth of cut 、 Industrial and production engineering 、 Reliability engineering 、 Engineering
摘要: This paper presents an abductive network for predicting tool life in high- speed milling (HSM) operations. The is composed of a number functional nodes. These nodes are well organised to form optimal architecture by using predicted squared error criterion. Once the cutting speed, feed per tooth, and axial depth cut given, can be based on developed network. Experimental results have shown that used predict HSM end mill under varying conditions prediction less than 10%.
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