CHS: Medium: Collaborative Research: Computer-Aided Design and Fabrication for General-Purpose Knit Manufacturing

CHS：媒介：协作研究：通用针织制造的计算机辅助设计和制造

• 批准号: 1955444
• 负责人: James McCann
• 金额: $ 46.45万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1955444&HistoricalAwards=false
• 关键词: CHS; Medium; Collaborative; Research; Computer; CHS; Medium; Collaborative; Research; Computer

General-purpose fabrication of complex 3D shapes is possible today with industrial knitting machines, which provide a powerful alternative to conventional 3D printing, given their ability to use a wide range of feedstock to produce strong and durable artifacts that can withstand extreme deformations and stretch. Machine knitting is already used in applications ranging from composite preforms for aircraft parts, soft robotics, and medicine to functional clothing like body-armor, cut-proof gloves, and everyday apparel. However, controlling industrial knitting machines is a difficult task, as it involves determining an efficient sequence of low-level knitting machine instructions that produce a desired 3D form. The goal of this project is to develop a complete framework, from computer-aided design to fabrication, for general-purpose knit manufacturing that will allow users to start with an arbitrary 3D shape, convert the shape to a virtual knit structure, customize the knit structure, and simulate the behavior of the result. Project outcomes will enable widespread use of customized fabrication via machine knitting, with the potential to alter manufacturing practices and enable new products and applications in numerous industries, including robotics, furniture, automotive, space exploration, medicine, defense, and clothing. A key contribution of this project will be simulating at the meso-scale, using a large database of common patterns to preview behavior at the many-stitch level. Additional broad impacts will derive from seeding interdisciplinary cross-department and cross-college collaborations in both institutions.The key steps in the new CAD/CAM workflow, which involve converting arbitrary shapes to knit structures, will build on prior work by members of the team. The project will involve: customization of the knit structure using both high- and low-level operations; live simulation of the knit structure by exploiting a novel data-driven patch-based approach that draws on calibration data captured from photographs; and low-level instruction generation and verification to include a hint-based scheduler that allows (optional) user control of the scheduling process. Major contributions of this work will be the measurement-based simulation and the optimization steps of the pipeline, as well as the novel image-based yarn measurement technology to support them. The integration of a hinting system, and the use of a topological verifier, are innovations that will impart to the work the flexibility and guarantee of correctness required to enable the proposed pipeline.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

如今，使用工业编织机可以为复杂的3D形状进行通用制造，这为传统3D打印提供了强大的替代方案，因为它们能够使用广泛的原料来生产强大而耐用的伪像，从而可以承受极端的变形和伸展。 机器编织已经用于应用程序，从飞机零件，软机器人和药品的复合预形成到功能性服装等功能性服装，例如车身装备，防护手套和日常服装。 但是，控制工业编织机是一项艰巨的任务，因为它涉及确定有效的低级编织机说明序列，该指令产生所需的3D形式。 该项目的目的是开发一个从计算机辅助设计到制造的完整框架，用于通用针织制造，该制造将使用户从任意的3D形状开始，将形状转换为虚拟编织结构，自定义编织结构，并模拟结果的行为。 项目成果将通过机器编织进行广泛使用定制的制造，并有可能改变制造实践，并在许多行业中启用新产品和应用，包括机器人，家具，汽车，汽车，太空探索，药品，防御，防御和服装。 该项目的一个关键贡献是在中尺度上模拟，使用大型公共模式数据库在许多缝线级别预览行为。在这两个机构中，播种跨学科的跨部门和跨境合作将产生其他广泛的影响。新的CAD/CAM工作流程的关键步骤涉及将任意形状转化为编织结构，将在团队成员的先前工作上建立。 该项目将涉及：使用高级和低级操作对针织结构进行自定义；通过利用一种新型数据驱动的贴片方法来实时模拟编织结构，该方法借鉴了从照片中捕获的校准数据；以及低级指令生成和验证，包括一个基于提示的调度程序，该调度程序允许（可选）用户对调度过程的控制。 这项工作的主要贡献将是基于测量的模拟和管道的优化步骤，以及基于图像的新型纱线测量技术来支持它们。 提示系统的整合以及拓扑认证的使用是创新的，它将赋予工作赋予工作的灵活性和保证，以实现拟议管道所需的正确性和保证。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力和更广泛影响的评估来通过评估来支持的，这是值得的。