Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization

In regard to the parameter and tolerance design of an assembly, a previous assumption has been that the structure of an assembly is not subject to any geometrical deformation under application. However, the realized deformation of the structure may well have an impact on the appropriate performance...

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Bibliographic Details
Main Authors: Angus Jeang, Chien-Ping Chung, Chang Pu Ko
Format: Article
Language:English
Published: SAGE Publishing 2019-09-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814019879249
Description
Summary:In regard to the parameter and tolerance design of an assembly, a previous assumption has been that the structure of an assembly is not subject to any geometrical deformation under application. However, the realized deformation of the structure may well have an impact on the appropriate performance of the assembly. The impact may become even greater when the geometric magnitudes are distributed over an uncertain range. The magnitudes of structure geometry can be represented by the associated parameter and tolerance values. In this regard, this study aims to have the optimal parameter and tolerance design determined all together under the impact of structure deformation through a probabilistic method and mathematical programming formulation. An example of an assembly with mechanical loading for uncertain magnitudes of geometry is chosen for demonstrating the proposed approach.
ISSN:1687-8140