EAGER/Cybermanufacturing: Modular System Design for CyberManufacturing of Customized Apparel

服装业在投资、收入、贸易和就业方面对美国和世界经济至关重要。尽管存在经济不确定性和波动，但全球服装业继续以健康的步伐增长，预计2015年将达到约3.2万亿美元，年增长率预计超过4%。美国服装市场是世界上最大的市场，约占全球市场的28%。虽然定制服装非常受欢迎，但由于包括大量人力在内的高昂制造成本，定制服装目前仅占服装市场的2%至3%。这个早期概念探索研究基金(EARGER)项目计划为负担得起的个性化服装和个性化生产设计一个端到端的系统架构和一个概念验证原型应用软件。由此产生的方法可以促进高质量但低成本的个性化服装，实现创新的产品设计和/或制造，并有可能改变时尚业。由此产生的科技进步有可能提高美国服装制造业在世界市场上的地位。作为对这些研究目标的补充，我们将推出新的网络制造研究生课程，发布软件系统实例，并举办与网络制造相关的研讨会。多学科课程开发和网络工程研究培训，通过系级外展和大学科学博览会，也可以帮助吸引代表不足的群体，特别是女性和少数族裔学生，学习计算机科学和工程。这一早期概念探索侧重于提供一个新的计算框架和软件系统架构，通过提供一种替代、清洁、绿色和资源高效的方法来解决具有挑战性的定制服装网络制造问题。它将以一个无缝集成系统为特色，该系统可以通过人在环中的原型、虚拟测试和智能制造来提供实时、定制的服装设计。原型系统将包括新的、易于使用的便携式设备上的3D人体测量系统、实时图案选择、基于云的交互式设计优化、可靠的视觉检查、可预测的虚拟试穿以及使用不同织物材料的熟练制作。整个项目有助于建立科学基础、系统框架和计算原则，通过将低成本传感、模拟分析、设计优化的计算过程与定制产品的敏捷、快速网络制造联系起来，从而提供交叉科学进步，从而整合不同的本构模型。

The apparel industry is of critical importance to the US and worldwide economy in terms of investment, revenue, trade, and employment. Despite the economic uncertainties and fluctuations, the global apparel industry continues to grow at a healthy pace and is expected to reach approximately $3.2 trillion dollars in 2015 with an estimated annual growth rate in excess of 4 percent. The U.S. apparel market is the largest in the world, comprising about 28 percent of the global market. While customized apparel is highly desirable, customized clothing currently comprises only 2 to 3 percent of the apparel market, due to high manufacturing cost, which includes significant human labor. This EArly-concept Grant for Exploratory Research (EAGER) project plans to design an end-to-end system architecture and a proof-of-concept prototype application software for affordable individualized clothing and personalized manufacturing. The resulting approach can facilitate high-quality yet low-cost individualized apparel, enable innovative product design and/or manufacturing, and potentially transform the fashion industry. The resulting scientific and technological advances have the potential to improve the status of the US apparel manufacturing industry in the world market. Complementing these research goals, we will introduce a new graduate course on cyber-manufacturing, release example software systems, and organize workshops related to cybermanufacturing. The multi-disciplinary curriculum development and cyber-engineering research training, featured through the departmental outreach and the University science fairs, can also help attract underrepresented groups, especially women and minority students, to computer science and engineering.This early-concept exploration focuses on providing a novel computational framework and software system architecture required to solve challenging cyber-manufacturing of customized apparel by offering an alternative, clean, green, and resource-efficient approach. It will feature a seamless integrated system that can provide real-time, customized design of apparel with human-in-the-loop prototyping, virtual testing, and intelligent manufacturing. The prototype system will consist of new, simple-to-use 3D body measurement systems on portable devices, real-time pattern selection, interactive cloud-based design optimization, reliable visual inspection, predictable virtual try-on, and adept fabrication with different fabric materials. The overall project contributes to building a scientific foundation, system framework, and computational principles to integrate different constitutive models, by linking the computational processes of low-cost sensing, simulation analysis, design optimization, to the agile, rapid cybermanufacturing of a customized product, thereby providing cross-cutting scientific advances.