2D Material Programming for 3D Manufacturing of Soft Conductive Materials

用于软导电材料 3D 制造的 2D 材料编程

• 批准号: 2221603
• 负责人: Kyungsuk Yum
• 金额: $ 43.25万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2221603&HistoricalAwards=false
• 关键词: 2D; Material; Programming; 3D; Manufacturing

This grant supports research that creates new knowledge to program the shape of polymeric materials for scalable and customizable 3D manufacturing of soft conductive materials. The manufacturing process will print 2D materials encoded with spatially controlled information allowing the structure to later transform into predetermined 3D structures. This 2D printable 3D manufacturing technology provides new ways to design and fabricate soft engineering systems, including those based on environment-responsive, shape-morphing 3D materials. The concept is applicable to other material systems over a range of length scales for broad applications, including soft electronic devices, soft machines, deployable systems, wearable devices, human–machine interfaces, and energy storage devices. This research contributes to sustaining global leadership of the United States in advanced manufacturing and benefit the United States economy and society. The research project provides opportunities for the development of developing the next generation of multidisciplinary researchers with expertise in additive manufacturing, soft materials, and computer science, enhance research-oriented multidisciplinary education through integration of research and education, and engage K-12 students and the general public in science, technology, engineering, and mathematics through museum and summer camp outreach programs. These activities will also broaden participation of underrepresented minority students in science and engineering. Morphing 2D materials into programmed 3D structures presents a new approach to the additive manufacturing of programmable soft materials. Despite its potential as a scalable, customizable, and deployable manufacturing technology, lack of programmable materials and how to design them remain a key challenge. Such 3D shaping approaches have mostly been limited to soft tissue-like hydrogels directed at bioinspired and biomedical applications in aqueous environments. This research investigates approaches to electrically conductive structures through the design and programming of the dual network polymer system consisting of hydrogels and ionoelastomers enabling scalable and customizable manufacturing of 3D structures of soft conductive materials. The research investigates and develops approaches for the formation of structures with non-Gaussian curvature through the determination of the formation process using an inverse design strategy based on algorithm development. The research team will explore how to program 2D ionic liquid-based polymers for their 3D manufacturing, investigate how to control and thus enhance the mechanical properties of ionic liquid-based polymers to manufacture 3D structures of soft conductive materials with enhanced mechanical properties, and develop environment-responsive shape-morphing 3D structures of soft conductive materials.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.

该补助金支持创造新知识的研究，以编程聚合物材料的形状，用于软导电材料的可扩展和可定制的3D制造。 制造过程将打印用空间控制信息编码的2D材料，允许结构稍后转换为预定的3D结构。 这种2D打印3D制造技术为设计和制造软工程系统提供了新的方法，包括基于环境响应，形状变形3D材料的系统。 该概念适用于广泛应用的长度范围内的其他材料系统，包括软电子设备，软机器，可部署系统，可穿戴设备，人机界面和能量存储设备。 这项研究有助于维持美国在先进制造业的全球领导地位，并使美国经济和社会受益。 该研究项目为发展下一代具有增材制造，软材料和计算机科学专业知识的多学科研究人员提供了发展机会，通过研究和教育的整合加强以研究为导向的多学科教育，并通过博物馆和夏令营推广计划吸引K-12学生和公众参与科学，技术，工程和数学。 这些活动还将扩大代表性不足的少数民族学生对科学和工程的参与。 将2D材料变形为可编程的3D结构为可编程软材料的增材制造提供了一种新方法。 尽管它具有可扩展、可定制和可部署的制造技术的潜力，但缺乏可编程材料以及如何设计它们仍然是一个关键挑战。 这种3D成形方法大多限于针对水性环境中的生物启发和生物医学应用的软组织样水凝胶。 本研究通过由水凝胶和离子弹性体组成的双网络聚合物系统的设计和编程来研究导电结构的方法，从而实现软导电材料的3D结构的可扩展和可定制制造。 研究调查和开发的方法形成的结构与非高斯曲率通过使用基于算法开发的逆设计策略的形成过程的确定。研究团队将探索如何为基于离子液体的2D聚合物进行3D制造编程，研究如何控制并增强基于离子液体的聚合物的机械性能，以制造具有增强机械性能的软导电材料的3D结构，发展出适应环境的形状-该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.