Identification of a Work Restricted Forging Process for Optimization by Adaptive Control

[+] Author and Article Information
A. W. Kwiatkowski, S. K. Biswas

Department of Mechanical Engineering, University of Birmingham, Birmingham, England

J. Eng. Ind 98(2), 620-625 (May 01, 1976) (6 pages) doi:10.1115/1.3438949 History: Received July 15, 1975; Online July 15, 2010


The role of process identification in optimization of manufacturing systems is discussed in general terms. Optimization of a work-restricted forging process is considered in detail and it is shown that its identification consists of estimating the parameters of a normal regression model. Since forging parameters are variable, routine updating of identification estimates is required. The response of the sequence of updated estimates obtained after a process change has occurred is of importance to the effectiveness of optimization. The problem is examined by applying two methods of updating to data which stimulate the occurrence of a change in the parameters of the forging model. The first is valid for stationary processes only and yields long sequences of inaccurate estimates after a process discontinuity. The second method recovers the accuracy in fewer updating steps but does this at the expense of a greater sampling variability of the estimates when the process is steady. A test for process homogeneity is employed to decide at every stage of updating whether the sequence should be continued or a new one started from fresh.

Copyright © 1976 by ASME
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