{"title":"Multi-objective robustness indicators for evaluation and exploration of design margins","authors":"Herle Kjemtrup Juul-Nyholm, Tobias Eifler","doi":"10.1080/09544828.2023.2261336","DOIUrl":null,"url":null,"abstract":"AbstractSpecification of design margins serves the purpose of mitigating the ubiquitous uncertainty of the engineering design process. This paper addresses the twofold challenge of establishing a suitable concept of margins early in the design process, before the design is mature enough for detailed modelling, and evaluating margin inter-dependencies. As margins are often specified in an unstructured manner, there is a risk that one margin might lead to a need for more margins, e.g. tight tolerances, downstream.To avoid adverse margin dependencies, five Multi-Objective Robustness Indicators based on multi-objective design exploration are presented: The Relative Utopia Index, the Relative Pareto Shape Index, the Relative Compromise Index, the Relative Average Sensitivity Index, and the Average Feasible Variable Range. They aggregate optimality, trade-offs and sensitivity of design configurations. The indicators are applied to a case example, a flat head tank design, to illustrate the effect and inter-dependency of margin specification.Three margin types were identified. The first type affects only the Objective Space size, the second type affects only the Pareto set size and the third type affects Pareto set shape. The third margin type is the most critical as it leads to harder compromises between design objectives later in the design process.KEYWORDS: Design marginsRobust designMulti-objective optimisation AcknowledgementThe authors would like to thank Novo Nordisk for financial support to the DTU-NN Robust Design program.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 For a detailed overview of the calculation of mean effective functions fjeff(x). we refer to (Deb and Gupta Citation2006).2 Further work in the area of systematic trade-off mitigation is presented by Sigurdarson et al. (Citation2022a, Citation2022b).Additional informationFundingThis work was supported by Novo Nordisk.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"57 1","pages":"0"},"PeriodicalIF":2.5000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09544828.2023.2261336","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractSpecification of design margins serves the purpose of mitigating the ubiquitous uncertainty of the engineering design process. This paper addresses the twofold challenge of establishing a suitable concept of margins early in the design process, before the design is mature enough for detailed modelling, and evaluating margin inter-dependencies. As margins are often specified in an unstructured manner, there is a risk that one margin might lead to a need for more margins, e.g. tight tolerances, downstream.To avoid adverse margin dependencies, five Multi-Objective Robustness Indicators based on multi-objective design exploration are presented: The Relative Utopia Index, the Relative Pareto Shape Index, the Relative Compromise Index, the Relative Average Sensitivity Index, and the Average Feasible Variable Range. They aggregate optimality, trade-offs and sensitivity of design configurations. The indicators are applied to a case example, a flat head tank design, to illustrate the effect and inter-dependency of margin specification.Three margin types were identified. The first type affects only the Objective Space size, the second type affects only the Pareto set size and the third type affects Pareto set shape. The third margin type is the most critical as it leads to harder compromises between design objectives later in the design process.KEYWORDS: Design marginsRobust designMulti-objective optimisation AcknowledgementThe authors would like to thank Novo Nordisk for financial support to the DTU-NN Robust Design program.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 For a detailed overview of the calculation of mean effective functions fjeff(x). we refer to (Deb and Gupta Citation2006).2 Further work in the area of systematic trade-off mitigation is presented by Sigurdarson et al. (Citation2022a, Citation2022b).Additional informationFundingThis work was supported by Novo Nordisk.
摘要设计余量的确定是为了减轻工程设计过程中普遍存在的不确定性。本文解决了两方面的挑战:在设计过程的早期,在设计成熟到足以进行详细建模之前,建立一个合适的边际概念,并评估边际相互依赖性。由于保证金通常以非结构化的方式指定,因此存在一个保证金可能导致需要更多保证金的风险,例如下游的严格公差。为了避免不利的边际依赖,提出了基于多目标设计探索的5个多目标鲁棒性指标:相对乌托邦指数、相对帕累托形状指数、相对妥协指数、相对平均敏感性指数和平均可行变量范围。它们集合了设计配置的最优性、权衡和敏感性。这些指标被应用到一个案例,一个平头坦克设计,以说明影响和相互依赖的余量规格。确定了三种边缘类型。第一种类型只影响目标空间大小,第二种类型只影响帕累托集合大小,第三种类型影响帕累托集合形状。第三种边距类型是最关键的,因为它会导致在设计过程后期更难在设计目标之间做出妥协。关键词:设计余量稳健设计多目标优化作者感谢诺和诺德对DTU-NN稳健设计项目的财政支持。披露声明作者未报告潜在的利益冲突。注1关于平均有效函数计算的详细概述fjeff(x)。我们参考(Deb and Gupta Citation2006)Sigurdarson等人(Citation2022a, Citation2022b)介绍了系统性权衡缓解领域的进一步工作。本研究得到了诺和诺德的支持。
期刊介绍:
The Journal of Engineering Design is a leading international publication that provides an essential forum for dialogue on important issues across all disciplines and aspects of the design of engineered products and systems. The Journal publishes pioneering, contemporary, best industrial practice as well as authoritative research, studies and review papers on the underlying principles of design, its management, practice, techniques and methodologies, rather than specific domain applications.
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Engineering design aesthetics, style and form-
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Design risk and uncertainty in engineering-
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Knowledge and information management in engineering-
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