{"title":"An optimal design method for complex structural components based on intelligent inference","authors":"Zhelin Wang, Su-na Yan, Zhihui Qiu, Haotong Zhang","doi":"10.1109/ISAM.2013.6643504","DOIUrl":null,"url":null,"abstract":"A optimal design method based on intelligent inference is proposed aiming at the existing deficiency such as large design space, low solving efficiency and poor quality caused by many characteristic parameters of complex structural components. By numerical simulation technology and DOE (Design of Experiment), the components are simulated under multi-conditions. The decision table of multidisciplinary simulation data is obtained through the discretization of continuous simulation data by clustering analysis. Then the design parameter characteristics are backtracked to guide the multidisciplinary design optimization of the components by using data mining technology. Finally, this method is verified through a case study on a cylinder head of inline4 engine.","PeriodicalId":323666,"journal":{"name":"2013 IEEE International Symposium on Assembly and Manufacturing (ISAM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Assembly and Manufacturing (ISAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAM.2013.6643504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A optimal design method based on intelligent inference is proposed aiming at the existing deficiency such as large design space, low solving efficiency and poor quality caused by many characteristic parameters of complex structural components. By numerical simulation technology and DOE (Design of Experiment), the components are simulated under multi-conditions. The decision table of multidisciplinary simulation data is obtained through the discretization of continuous simulation data by clustering analysis. Then the design parameter characteristics are backtracked to guide the multidisciplinary design optimization of the components by using data mining technology. Finally, this method is verified through a case study on a cylinder head of inline4 engine.
针对复杂结构构件特征参数多导致设计空间大、求解效率低、质量差等缺点，提出了一种基于智能推理的优化设计方法。采用数值模拟技术和DOE (Design of Experiment)对各部件进行了多工况模拟。通过聚类分析对连续仿真数据进行离散化，得到多学科仿真数据的决策表。然后利用数据挖掘技术回溯设计参数特征，指导零部件的多学科设计优化。最后，以某直列发动机气缸盖为例，对该方法进行了验证。
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