CM/Collaborative Research: Simulation-based Software Tools for Automated Knitting

CM/协作研究：基于仿真的自动针织软件工具

• 批准号: 1644490
• 负责人: Doug James
• 金额: $ 30万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1644490&HistoricalAwards=false
• 关键词: CM; Collaborative; Research; Simulation; based

A growing fraction of textile products, particularly clothing, are made on sophisticated automated knitting machines that can produce complete products in a single step, with full control over variation in shape, appearance, and mechanical properties across the surface of the fabric. These machines promise to democratize the design of garments and other knitted products: any design that can be written down as a knitting machine program can be made in any quantity as easily as a mass-produced product, and every instance can be different, with variations in size, fit, and function. Ironically, very few people can actually design custom knitted garments for automated manufacture on these machines, because developing new patterns is a trial-and-error process requiring esoteric knowledge and access to the production equipment. This project aims to change this situation by developing simulation technology that enables web-based interactive design tools that accurately predict the end result, eliminating trial-and-error and letting users directly manufacture their designs with confidence of good results the first time. An emphasis on interactive web-based design tools will enable a practical pathway for expanding access and real-world usage. The project's technical aims include: (1) Achieve predictive simulation of yarn mechanics by extending prior work on yarn-level cloth modeling to provide a calibrated match to experimental data. (2) Develop multi-scale simulation models that provide real-time feedback for interactive design tasks involving design-related edits to knit structures. (3) Build simulation-based design tools that anyone can use to easily design and simulate their own custom knitted products in the same way one can now 3D print mechanical parts. (4) Investigate high-level optimization-based design tools that enable "smart" edits without resorting to low-level stitch specifications. We will evaluate our simulation tools using a sequence of user studies that measure the effectiveness of the tools to improve users' ability to match design targets.

越来越多的纺织品（尤其是服装）是在精致的自动编织机上制造的，这些机器可以单步生产完整的产品，并完全控制织物表面上的形状，外观和机械性能的变化。这些机器有望使服装和其他针织产品的设计民主化：任何可以写入编织机程序的设计都可以像大量生产的产品一样轻松地制作任何数量，并且每个实例都可以不同，并且尺寸，拟合和功能的变化都不同。具有讽刺意味的是，实际上很少有人可以在这些机器上设计定制的针织服装，因为开发新模式是一个试验过程，需要深奥的知识并访问生产设备。该项目旨在通过开发模拟技术来改变这种情况，从而使基于Web的交互式设计工具能够准确预测最终结果，消除了试验和错误，并让用户首次充满信心地对其设计充满信心。强调基于网络的设计工具将使一个实用的途径可以扩展访问和现实世界的使用。该项目的技术目的包括：（1）通过扩展纱线级布模型的先前工作以提供实验数据的校准匹配，从而实现纱线力学的预测模拟。 （2）开发多尺度仿真模型，为涉及编织与编织结构的互动设计任务提供实时反馈。 （3）构建基于模拟的设计工具，任何人都可以用这些工具来轻松设计和模拟自己的自定义针织产品，就像现在可以3D打印机械零件一样。 （4）研究基于高级优化的设计工具，该工具可以启用“智能”编辑而无需诉诸低级针迹规格。我们将使用一系列用户研究来评估我们的仿真工具，以衡量工具提高用户匹配设计目标能力的有效性。

项目成果

Interactive design of periodic yarn-level cloth patterns

• DOI: 10.1145/3272127.3275105
• 发表时间: 2018-12
• 期刊: ACM Transactions on Graphics (TOG)
• 作者: Jonathan Leaf;Rundong Wu;Eston Schweickart;Doug L. James;Steve Marschner