DocumentCode
1466712
Title
An abductive network for predicting tool life in drilling
Author
Lee, B.Y. ; Liu, H.S. ; Tarng, Y.S.
Author_Institution
Dept. of Mech. Manuf. Eng., Nat. Huwei Inst. of Technol., Yunlin, Taiwan
Volume
35
Issue
1
fYear
1999
Firstpage
190
Lastpage
195
Abstract
This paper presents an abductive network for predicting tool life in drilling operations. The abductive network is composed of a number of functional nodes. These functional nodes are well organized to form an optimal network architecture by using a predicted squared error criterion. Once the drill diameter, cutting speed and feedrate are given, tool life can be predicted based on the developed network. Experimental results have shown that the abductive network can be effectively used to predict drill life under varying cutting conditions and the prediction error of drill life is less than 10%
Keywords
cutting; inference mechanisms; machine tools; machining; abductive network; cutting conditions; cutting speed; drill diameter; drill tool life prediction; drilling; feedrate; functional nodes; optimal network architecture; predicted squared error criterion; prediction error; Cutting tools; Drilling; Industrial control; Intelligent networks; Neural networks; Performance analysis; Polynomials; Predictive models; Process planning; Temperature;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/28.740864
Filename
740864
Link To Document