A Design Framework for Programmable Manufacturing of Customized Knitted Materials

定制针织材料可编程制造的设计框架

• 批准号: 1537720
• 负责人: David Breen
• 金额: $ 54.97万
• 依托单位: Drexel 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 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1537720&HistoricalAwards=false
• 关键词: Design; Framework; Programmable; Manufacturing; Customized

Knitting is the intermeshing of yarns into loops that leads to the creation of fabrics. Fabrics knitted with several different yarns constitute a modern class of advanced engineering materials. Additionally, computer-controlled knitting offers great promise as a digital manufacturing technology because of the ability to make novel materials from multiple yarn types and varying loop patterns. Given the enormous flexibility of modern knitting equipment and the variety of yarn materials currently available, knitted structures can now be viewed as a versatile, programmable, multi-scale and microstructure-based engineering material system that can be designed and manufactured to meet a wide range of functional and mechanical requirements. While the current state of the art in commercial knitting technology is quite capable of designing and manufacturing a variety of materials for consumer clothing, many significant technological gaps exist that prevent knitting from becoming a general process for digital manufacturing. The critical barrier to the production of these versatile material systems is the lack of validated comprehensive design tools and accurate predictive modeling methods. This project will develop an integrated design framework that addresses these barriers in order to enable the programmable manufacturing of customized knitted materials. Developing advanced technologies in this field has the potential to create new, revitalized economic activity in an American industrial sector that has mostly known decline in recent decades. The project has several technical objectives. They are: a) the creation of a design framework that determines yarn specifications and processing commands given the performance requirements for a knitted material, b) the development of a data-driven algorithm for computing inverse mappings from low-dimensional requirements space into high-dimensional control data space that utilizes efficient nearest-neighbors search and scattered data interpolation techniques to find viable design solutions for knitted materials, c) the definition of an objective function capable of determining if knitting design requirements have been fulfilled, d) the utilization of information pathways that allow for an inverse-forward simulate-manufacture-evaluate-validate feedback loop in the design process, and e) the integration of design/simulation processes with the production, testing and evaluation of actual materials to provide an accelerated, programmable manufacturing capability for novel, customized knitted materials.

针织是将纱线交织成线圈，从而产生织物。用几种不同纱线编织的织物构成了先进工程材料的现代类别。此外，计算机控制的针织作为一种数字化制造技术提供了巨大的前景，因为它能够从多种纱线类型和不同的线圈图案中制造新型材料。考虑到现代针织设备的巨大灵活性和目前可用的纱线材料的多样性，针织结构现在可以被视为一种通用的、可编程的、多尺度的和基于微结构的工程材料系统，其可以被设计和制造以满足广泛的功能和机械要求。虽然目前商业针织技术的最新水平完全能够设计和制造用于消费服装的各种材料，但存在许多重大的技术差距，阻碍了针织成为数字制造的通用工艺。生产这些多功能材料系统的关键障碍是缺乏经过验证的综合设计工具和准确的预测建模方法。该项目将开发一个集成的设计框架，解决这些障碍，以实现定制针织材料的可编程制造。在这一领域开发先进技术有可能在美国工业部门创造新的、振兴的经济活动，而美国工业部门近几十年来大多数都在衰退。 该项目有几个技术目标。它们是：B）开发用于计算从低维需求空间到高维控制数据空间的逆映射的数据驱动算法，该算法利用有效的最近邻搜索和分散数据插值技术来找到针织材料的可行设计解决方案，c）能够确定是否已经满足针织设计要求的目标函数的定义，d）在设计过程中利用允许逆-正模拟-制造-评估-验证反馈回路的信息路径，以及e）设计/模拟过程与实际材料的生产、测试和评估的集成以提供加速的，可编程的制造能力，为新颖的，定制的针织材料。