{"title":"定制超材料特性的智能设计系统","authors":"","doi":"10.1016/j.ijmecsci.2024.109595","DOIUrl":null,"url":null,"abstract":"<div><p>Metamaterials are widely studied for their ability to carry human designs and realize exotic, specific physical properties. However, the existing metamaterial design methods are highly dependent on the experience and expertise of the designers. Unlocking the potential of metamaterials requires efficient design methods accessible beyond expert users. This work presents a novel intelligent design system (IDS) for fabricating metamaterials with designated mechanical properties without extensive expertise. The IDS leverages a combined approach of particle swarm and moving morphable components topology optimization, capitalizing on swarm intelligence for efficient material structure generation. The proposed IDS successfully generates tailored metamaterial matrices exhibiting desired elastic properties like Poisson's ratio and elastic modulus for orthotropic and isotropic materials. Innovative development of fuzzy models is achieved to optimize convergence mapping of isotropic mechanical metamaterials for user guidance. Notably, it achieves this even without requiring an initial design, completing the process within minutes and offering seamless integration with MATLAB for portability. From the pre-determination of convergence before design to the export of fabrication models after design, IDS provides a new path to designing metamaterials without needing research experience. This comprehensive, user-friendly system holds immense potential for expansion into 3D design and various metamaterial classes, acting as a valuable bridge for non-experts to achieve metamaterial design.</p></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":null,"pages":null},"PeriodicalIF":7.1000,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An intelligent design system for tailored metamaterial properties\",\"authors\":\"\",\"doi\":\"10.1016/j.ijmecsci.2024.109595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Metamaterials are widely studied for their ability to carry human designs and realize exotic, specific physical properties. However, the existing metamaterial design methods are highly dependent on the experience and expertise of the designers. Unlocking the potential of metamaterials requires efficient design methods accessible beyond expert users. This work presents a novel intelligent design system (IDS) for fabricating metamaterials with designated mechanical properties without extensive expertise. The IDS leverages a combined approach of particle swarm and moving morphable components topology optimization, capitalizing on swarm intelligence for efficient material structure generation. The proposed IDS successfully generates tailored metamaterial matrices exhibiting desired elastic properties like Poisson's ratio and elastic modulus for orthotropic and isotropic materials. Innovative development of fuzzy models is achieved to optimize convergence mapping of isotropic mechanical metamaterials for user guidance. Notably, it achieves this even without requiring an initial design, completing the process within minutes and offering seamless integration with MATLAB for portability. From the pre-determination of convergence before design to the export of fabrication models after design, IDS provides a new path to designing metamaterials without needing research experience. This comprehensive, user-friendly system holds immense potential for expansion into 3D design and various metamaterial classes, acting as a valuable bridge for non-experts to achieve metamaterial design.</p></div>\",\"PeriodicalId\":56287,\"journal\":{\"name\":\"International Journal of Mechanical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2024-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mechanical Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0020740324006362\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020740324006362","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
An intelligent design system for tailored metamaterial properties
Metamaterials are widely studied for their ability to carry human designs and realize exotic, specific physical properties. However, the existing metamaterial design methods are highly dependent on the experience and expertise of the designers. Unlocking the potential of metamaterials requires efficient design methods accessible beyond expert users. This work presents a novel intelligent design system (IDS) for fabricating metamaterials with designated mechanical properties without extensive expertise. The IDS leverages a combined approach of particle swarm and moving morphable components topology optimization, capitalizing on swarm intelligence for efficient material structure generation. The proposed IDS successfully generates tailored metamaterial matrices exhibiting desired elastic properties like Poisson's ratio and elastic modulus for orthotropic and isotropic materials. Innovative development of fuzzy models is achieved to optimize convergence mapping of isotropic mechanical metamaterials for user guidance. Notably, it achieves this even without requiring an initial design, completing the process within minutes and offering seamless integration with MATLAB for portability. From the pre-determination of convergence before design to the export of fabrication models after design, IDS provides a new path to designing metamaterials without needing research experience. This comprehensive, user-friendly system holds immense potential for expansion into 3D design and various metamaterial classes, acting as a valuable bridge for non-experts to achieve metamaterial design.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.