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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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
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author Angus Jeang
Chien-Ping Chung
Chang Pu Ko
author_facet Angus Jeang
Chien-Ping Chung
Chang Pu Ko
author_sort Angus Jeang
collection DOAJ
description 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.
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spelling doaj.art-d41e083a57a6433f80a807ec2398e5822022-12-21T18:47:31ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-09-011110.1177/1687814019879249Parameters decision for an assembly under mechanical structure deformation via probabilistic optimizationAngus Jeang0Chien-Ping Chung1Chang Pu Ko2Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, R.O.C.Department of Business Administration, MingDao University, Changhua, R.O.C.Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, R.O.C.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.https://doi.org/10.1177/1687814019879249
spellingShingle Angus Jeang
Chien-Ping Chung
Chang Pu Ko
Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
Advances in Mechanical Engineering
title Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
title_full Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
title_fullStr Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
title_full_unstemmed Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
title_short Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
title_sort parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
url https://doi.org/10.1177/1687814019879249
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AT chienpingchung parametersdecisionforanassemblyundermechanicalstructuredeformationviaprobabilisticoptimization
AT changpuko parametersdecisionforanassemblyundermechanicalstructuredeformationviaprobabilisticoptimization