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Engineering and manufacturing industries

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An Efficient Technique for Minimum-Cost Tolerance Assignment

Article Abstract:

A computer-aided design technique to assign tolerances to system components is introduced. The essence of the method is to accurately represent the allowable margins of the system's performance functions in the percent deviation parameter space (PDPS) and to determine the point in the PDPS corresponding to the most efficient tolerance assignment. The criteria used involve minimum cost-tolerance assignments. The technique presented solves the tolerance assignment problem for a significant class of systems for which one hundred percent yield is sought and whose components are statistically independent. The most salient feature of this technique is the simple and straightfoward manner in which the 'curse of dimensionality' associated with tolerance assignment problems is overcome. A computer program has been developed; it accepts a system's topology, nominal component values, a figure-of-merit for system performance, and information relating a component cost to its tolerance. The output of the program includes the set of component tolerances that will produce the least expensive design with a hundred percent yield. As an example, a rather complex low pass filter has been simulated to solve the tolerance assignment problem. Computation time is about seven seconds on the Univac-1100 computer.

Author: Sayed, S.E.Y., Kheir, N.A.
Publisher: Sage Publications, Inc.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1985
Systems analysis, Computer aided design, System Design, Models, Parameters, Computer-Aided Design, Computer Design, Performance Prediction, Tolerance

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Integrated intelligent simulation environment

Article Abstract:

In this article we describe a new simulation method for engineering applications. The architecture development is one of the most important techniques among the AI research tasks. An integrated intelligent simulation system is a large knowledge integration environment that consists of both symbolic reasoning systems (expert systems) and numerical computation packages. These software programs are controlled by a meta-system, which manages the selection, operation and communication of these programs. This new architecture can serve as a universal configuration to develop the fifth generation simulation environment for many complicated applications. (Reprinted by permission of the publisher.)

Author: Rao, Ming, Jiang, Tsung-Shann, Tsai, Jeffrey J.-P.
Publisher: Sage Publications, Inc.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1990
Engineering, Technology, Expert systems, Intelligent machines, Integrated Systems, Simulation, Fifth Generation, Intelligent Devices, Integrated Approach, Theoretical Approach, technical

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