By Topic

An abductive network for predicting tool life in drilling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lee, B.Y. ; Dept. of Mech. Manuf. Eng., Nat. Huwei Inst. of Technol., Yunlin, Taiwan ; Liu, H.S. ; Tarng, Y.S.

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%

Published in:

Industry Applications, IEEE Transactions on  (Volume:35 ,  Issue: 1 )