Interval-based scale-span topology optimization considering reliable manufacturing limits via the parameterized level set method and image recognition techniques

IF 5.7 1区工程技术 Q1 ENGINEERING, CIVIL

Thin-Walled Structures Pub Date : 2025-04-26 DOI:10.1016/j.tws.2025.113353

Zeshang Li , Lei Wang , Kaixuan Gu , Yaru Liu

{"title":"Interval-based scale-span topology optimization considering reliable manufacturing limits via the parameterized level set method and image recognition techniques","authors":"Zeshang Li , Lei Wang , Kaixuan Gu , Yaru Liu","doi":"10.1016/j.tws.2025.113353","DOIUrl":null,"url":null,"abstract":"<div><div>With the continuous development of additive manufacturing technology, designing materials and structures with diverse functions and complex configurations to meet special needs has become a hot topic. However, the various manufacturing limits result in deviations between the design results and the actual results. This paper proposes an interval-based scale-span topology optimization method considering reliable manufacturing limits via the parameterized level set method and image recognition techniques. Firstly, this paper describes the boundaries of topology configurations based on the parameterized level set method. Then, based on the image recognition technology, explicit expression of structural boundaries is achieved, and various geometric features are further quantified and controlled based on the recognition results. Considering the uncertainty effects of structural size and size constraints, a reliability-based topology optimization design has been achieved. Design optimization has been carried out for metamaterial problems, mechanical problems, and thermal problems of multiscale structures. Finally, numerical validation and manufacturing are carried out on the design results, which demonstrates the effectiveness of the proposed method.</div></div>","PeriodicalId":49435,"journal":{"name":"Thin-Walled Structures","volume":"214 ","pages":"Article 113353"},"PeriodicalIF":5.7000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thin-Walled Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S026382312500446X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}

引用次数: 0

Abstract

With the continuous development of additive manufacturing technology, designing materials and structures with diverse functions and complex configurations to meet special needs has become a hot topic. However, the various manufacturing limits result in deviations between the design results and the actual results. This paper proposes an interval-based scale-span topology optimization method considering reliable manufacturing limits via the parameterized level set method and image recognition techniques. Firstly, this paper describes the boundaries of topology configurations based on the parameterized level set method. Then, based on the image recognition technology, explicit expression of structural boundaries is achieved, and various geometric features are further quantified and controlled based on the recognition results. Considering the uncertainty effects of structural size and size constraints, a reliability-based topology optimization design has been achieved. Design optimization has been carried out for metamaterial problems, mechanical problems, and thermal problems of multiscale structures. Finally, numerical validation and manufacturing are carried out on the design results, which demonstrates the effectiveness of the proposed method.

查看原文本刊更多论文

基于参数化水平集方法和图像识别技术的考虑可靠制造极限的区间尺度跨度拓扑优化

随着增材制造技术的不断发展，设计功能多样、结构复杂的材料和结构以满足特殊需求已成为一个热门话题。然而，各种制造限制导致设计结果与实际结果之间的偏差。利用参数化水平集方法和图像识别技术，提出了一种考虑可靠制造极限的基于区间的尺度跨度拓扑优化方法。首先，基于参数化水平集方法描述了拓扑构型的边界；然后，基于图像识别技术，实现结构边界的显式表达，并根据识别结果进一步对各种几何特征进行量化和控制。考虑结构尺寸和尺寸约束的不确定性，实现了基于可靠性的拓扑优化设计。对多尺度结构的超材料问题、力学问题和热问题进行了优化设计。最后对设计结果进行了数值验证和制造，验证了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Thin-Walled Structures 工程技术-工程：土木

CiteScore

9.60

自引率

20.30%

发文量

801

审稿时长

66 days

期刊介绍： Thin-walled structures comprises an important and growing proportion of engineering construction with areas of application becoming increasingly diverse, ranging from aircraft, bridges, ships and oil rigs to storage vessels, industrial buildings and warehouses. Many factors, including cost and weight economy, new materials and processes and the growth of powerful methods of analysis have contributed to this growth, and led to the need for a journal which concentrates specifically on structures in which problems arise due to the thinness of the walls. This field includes cold– formed sections, plate and shell structures, reinforced plastics structures and aluminium structures, and is of importance in many branches of engineering. The primary criterion for consideration of papers in Thin–Walled Structures is that they must be concerned with thin–walled structures or the basic problems inherent in thin–walled structures. Provided this criterion is satisfied no restriction is placed on the type of construction, material or field of application. Papers on theory, experiment, design, etc., are published and it is expected that many papers will contain aspects of all three.