DocumentCode
1608181
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. Yunlin Polytech. Inst., Taiwan
fYear
1995
Firstpage
717
Lastpage
722
Abstract
The 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 (PSE) criterion. Once the drill diameter, cutting speed, and feedrate are given, the 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 9%
Keywords
inference mechanisms; machine tools; machining; monitoring; neural nets; prediction theory; process control; uncertainty handling; abductive network; abductive reasoning; cutting speed; drilling; feedrate; functional nodes; predicted squared error; tool life prediction; uncertainty handling; Databases; Drilling; Equations; Intelligent networks; Machine intelligence; Network synthesis; Polynomials; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Automation and Control: Emerging Technologies, 1995., International IEEE/IAS Conference on
Conference_Location
Taipei
Print_ISBN
0-7803-2645-8
Type
conf
DOI
10.1109/IACET.1995.527647
Filename
527647
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