Probabilistic Optimization of Multitool Machining Operations

[+] Author and Article Information
A. K. Sheikh

Dept. of Mechanical Engineering, University of Petroleum and Minerals, Dhahran, Saudi Arabia

L. A. Kendall

Dept. of Mechanical Engineering, Washington State University, Pullman, Wash. 99164

S. M. Pandit

Dept. of Mechanical Engineering, Michigan Technological University, Houghton, Mich. 49931

J. Eng. Ind 102(3), 239-246 (Aug 01, 1980) (8 pages) doi:10.1115/1.3183859 History: Received October 01, 1979; Online July 30, 2009


This paper summarizes the results for one aspect of an ongoing research program concerned with the probabilistic nature of tool life and its affect on tool replacement strategies and optimum machining conditions. Preventive planned, scheduled and failure replacement strategies are considered with single and multiple tool systems. When the coefficient of variation is constant as the cutting conditions change, the optimal cutting conditions using the probabilistic models of tool life are a multiple of the optimum cutting conditions obtained by using the classical deterministic model of tool life. The multiplying factor is a function of the coefficient of variation, tool change policy and the cost parameters of these replacement policies.

Copyright © 1980 by ASME
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