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RESEARCH PAPERS: Design Engineering Papers

Probabilistic Models in Computer Automated Slider-Crank Function Generator Design

[+] Author and Article Information
G. R. Schade

University of Nebraska-Lincoln, Lincoln, Neb.

J. Mech. Des 103(4), 835-841 (Oct 01, 1981) (7 pages) doi:10.1115/1.3254995 History: Received June 01, 1980; Online November 17, 2009

Abstract

Using deterministic algebraic techniques, it is possible to synthesize function generator mechanisms which can produce extremely small structural error. However, due to normal variations in dimensions inherent in the manufacture of the components of the mechanism, there may be an extremely low probability of assembling a mechanism which approaches the accuracy predicted by a deterministic representation of the mechanism. This paper presents a probabilistic model of the slider-crank function generator, and a method of optimization of this model. Mechanisms are optimized on the basis of both deterministic and probabilistic models, and the resulting optima are compared by computer simulated production. If the statistical properties of the production techniques are known, it is possible to significantly increase the production yield of acceptable mechanisms by using the probabilistic model for design optimization.

Copyright © 1981 by ASME
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