Design of 3D Woven Lattices with Optimized Damping Properties

具有优化阻尼性能的 3D 编织网格设计

• 批准号: 1538367
• 负责人: James Guest
• 金额: $ 65万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1538367&HistoricalAwards=false
• 关键词: Design; 3D; Woven; Lattices; Optimized

This interdisciplinary project will create a topology optimization-driven framework for the design and manufacture of 3D woven materials with tunable vibration damping capabilities. 3D weaving is a highly efficient manufacturing process where yarns or wires are arranged in a sequence of orthogonal patterns. Topology optimization is a computational, systematic approach for designing the micro-scale architecture of materials. This project will integrate these two approaches to design, manufacture, and experimentally test 3D woven metallic materials whose micro-architecture is optimized to achieve targeted damping properties at elevated temperatures. Such materials would find a broad range of applications in transportation, manufacturing, power generation and most structural applications that are susceptible to fatigue and elevated temperature exposure. It would also create a new avenue of applications for textile manufacturers. In addition to the development of this new class of materials, the project will develop Science, Technology, Engineering and Mathematics (STEM) related activities that will train and engage graduate, undergraduate and elementary school students at a variety of levels.This project will couple topology optimization with 3D weaving to design and efficiently manufacture micro-architected lattice materials with optimized damping properties. Although typical 3D woven fabrics serve as preforms that are infiltrated with resin to create composite materials, this project will focus on the 3D weaving of micro-scale metallic wires that are then bonded to create porous, lightweight lattices. These wires will be 3D woven into patterns that are dictated by the topology optimization design engine with the goal of enhancing and controlling observed damping mechanisms, including inertial damping and Coulomb damping. Design optimization algorithms will be developed that integrate the manufacturing constraints of 3D weaving into the topology optimization methodology. Material processing in the form of wire joining and surface treatments will be developed to further exploit these damping mechanisms. Optical characterization of material architecture, including measurement of wire orientations and flaws, and experimental property measurements at temperature will inform and validate the computational design methodology and manufacturing processes, much in the theme of Integrated Computational Materials Engineering (ICME).

这个跨学科的项目将创建一个拓扑优化驱动的框架，用于设计和制造具有可调减振能力的3D编织材料。3D编织是一种高效的制造工艺，其中纱线或线材以正交图案的序列排列。拓扑优化是一种用于设计材料微尺度结构的计算系统方法。 该项目将整合这两种方法来设计，制造和实验测试3D编织金属材料，其微结构经过优化，以在高温下实现目标阻尼性能。这种材料将在运输、制造、发电和大多数易受疲劳和高温暴露影响的结构应用中找到广泛的应用。 这也将为纺织品制造商创造一个新的应用途径。除了开发这类新材料外，该项目还将开发科学、技术、工程和数学（STEM）相关活动，培训和吸引不同层次的研究生、本科生和小学生。该项目将拓扑优化与3D编织相结合，设计和有效制造具有优化阻尼性能的微结构晶格材料。 虽然典型的3D编织织物作为预成型件，用树脂渗透来制造复合材料，但该项目将专注于微尺度金属丝的3D编织，然后将其粘合以制造多孔，轻质晶格。 这些线将被3D编织成由拓扑优化设计引擎指定的图案，目的是增强和控制观察到的阻尼机制，包括惯性阻尼和库仑阻尼。 将开发设计优化算法，将三维编织的制造约束集成到拓扑优化方法中。将开发线材连接和表面处理形式的材料加工，以进一步利用这些阻尼机制。材料结构的光学表征，包括导线方向和缺陷的测量，以及温度下的实验性质测量，将为计算设计方法和制造过程提供信息和验证，这在集成计算材料工程（ICME）的主题中非常重要。