车辆车轮多目标结构优化:一种初步设计方法

IF 2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Optimization and Engineering Pub Date : 2023-08-24 DOI:10.1007/s11081-023-09833-9

P. Stabile, F. Ballo, M. Gobbi, G. Previati

{"title":"车辆车轮多目标结构优化:一种初步设计方法","authors":"P. Stabile, F. Ballo, M. Gobbi, G. Previati","doi":"10.1007/s11081-023-09833-9","DOIUrl":null,"url":null,"abstract":"Abstract The paper proposes an optimization procedure to be adopted by wheels design engineers for the identification of preliminary solutions to design lightweight and safe wheels. In particular, decisions related to the sizing of the wheel rim, to the number and type of spokes and to the spokes structural layout are addressed. The process relies on the combination of a simplified finite element model of the tire/wheel assembly and artificial neural networks used for global approximation, within a multi-objective optimization framework. Mass and compliance of the wheel are minimized at the same time, with constraints on structural safety and manufacturing. The method is applied to the preliminary design of the wheel of a lightweight electric vehicle specifically designed for energy efficiency competitions and allows to derive simple and general design guidelines for developing efficient products.","PeriodicalId":56141,"journal":{"name":"Optimization and Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":2.0000,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-objective structural optimization of vehicle wheels: a method for preliminary design\",\"authors\":\"P. Stabile, F. Ballo, M. Gobbi, G. Previati\",\"doi\":\"10.1007/s11081-023-09833-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The paper proposes an optimization procedure to be adopted by wheels design engineers for the identification of preliminary solutions to design lightweight and safe wheels. In particular, decisions related to the sizing of the wheel rim, to the number and type of spokes and to the spokes structural layout are addressed. The process relies on the combination of a simplified finite element model of the tire/wheel assembly and artificial neural networks used for global approximation, within a multi-objective optimization framework. Mass and compliance of the wheel are minimized at the same time, with constraints on structural safety and manufacturing. The method is applied to the preliminary design of the wheel of a lightweight electric vehicle specifically designed for energy efficiency competitions and allows to derive simple and general design guidelines for developing efficient products.\",\"PeriodicalId\":56141,\"journal\":{\"name\":\"Optimization and Engineering\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optimization and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11081-023-09833-9\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimization and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11081-023-09833-9","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了车轮设计工程师采用的优化程序，以确定设计轻量化和安全车轮的初步解决方案。特别是，决定有关的轮辋的尺寸，数量和类型的辐条和辐条结构布局的地址。该过程依赖于轮胎/车轮组件的简化有限元模型和用于全局逼近的人工神经网络的组合，在多目标优化框架内。车轮的质量和柔度同时最小化，同时对结构安全和制造有一定的约束。该方法应用于专为节能竞赛设计的轻型电动汽车车轮的初步设计，并为开发高效产品提供了简单而通用的设计准则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Multi-objective structural optimization of vehicle wheels: a method for preliminary design

查看原文本刊更多论文

Multi-objective structural optimization of vehicle wheels: a method for preliminary design

Abstract The paper proposes an optimization procedure to be adopted by wheels design engineers for the identification of preliminary solutions to design lightweight and safe wheels. In particular, decisions related to the sizing of the wheel rim, to the number and type of spokes and to the spokes structural layout are addressed. The process relies on the combination of a simplified finite element model of the tire/wheel assembly and artificial neural networks used for global approximation, within a multi-objective optimization framework. Mass and compliance of the wheel are minimized at the same time, with constraints on structural safety and manufacturing. The method is applied to the preliminary design of the wheel of a lightweight electric vehicle specifically designed for energy efficiency competitions and allows to derive simple and general design guidelines for developing efficient products.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Optimization and Engineering 工程技术-工程：综合

CiteScore

4.80

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Optimization and Engineering is a multidisciplinary journal; its primary goal is to promote the application of optimization methods in the general area of engineering sciences. We expect submissions to OPTE not only to make a significant optimization contribution but also to impact a specific engineering application. Topics of Interest: -Optimization: All methods and algorithms of mathematical optimization, including blackbox and derivative-free optimization, continuous optimization, discrete optimization, global optimization, linear and conic optimization, multiobjective optimization, PDE-constrained optimization & control, and stochastic optimization. Numerical and implementation issues, optimization software, benchmarking, and case studies. -Engineering Sciences: Aerospace engineering, biomedical engineering, chemical & process engineering, civil, environmental, & architectural engineering, electrical engineering, financial engineering, geosciences, healthcare engineering, industrial & systems engineering, mechanical engineering & MDO, and robotics.