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  • 标题:Parameters decision for an assembly under mechanical structure deformation via probabilistic optimization
  • 本地全文:下载
  • 作者:Angus Jeang ; Chien-Ping Chung ; Chang Pu Ko
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2019
  • 卷号:11
  • 期号:9
  • 页码:1-9
  • DOI:10.1177/1687814019879249
  • 出版社:Sage Publications Ltd.
  • 摘要: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.
  • 其他关键词:Parameter design ; tolerance design ; deformation ; uncertainty ; probabilistic method ; optimization
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