Collaborative Research: Designer Microstructures by Additive Manufacturing of Functional Emulsions

合作研究：通过功能乳液增材制造设计微结构

• 批准号: 2054409
• 负责人: Michael Bartlett
• 金额: $ 35.95万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2054409&HistoricalAwards=false
• 关键词: Collaborative; Research; Designer; Microstructures; Additive

Functional emulsions are an emerging material architecture for creating highly functional elastomer composites that are soft and elastically deformable. However, techniques to control local composition and microstructure of the composite material in emulsions, which ultimately govern material properties and performance of the cured elastomer composite, are lacking. This award supports fundamental research to develop an additive manufacturing technique to control liquid inclusion microstructure in emulsions to achieve unprecedented combinations of thermal, electrical, and mechanical functionalities in elastomer composites. By developing the material and manufacturing knowledge to program inclusion microstructure, new paradigms in composite architecture for next generation functional materials are enabled leading to new applications in electronics and robotics, which benefits the U.S. economy and society. Through a collection of ‘behind the research’ videos generated by team members and a manufacturing workshop for 9-12 grade students, the project provides inspiration and training for future leaders in the emerging fields of additive manufacturing and soft robotics.This project establishes the processing-structure-property relationships of additively manufactured functional emulsions that can be cured into an elastomer composite of complex geometry. This is achieved by creating model emulsion inks, processing methods, and in-situ process monitoring to determine how material composition and printing conditions influence material microstructure. These fundamental processing and material insights are combined with new theoretical models for emulsion extrusion to predict the microstructure of liquid phase inclusions throughout a manufactured part. Liquid metal and glycerol liquid phase inclusions are examined as they present distinctly different fundamental properties, but both offer broad applicability in the field of soft matter engineering. In contrast to rigid carbon black, copper, or silica particle fillers that have fixed shape and size, the on-demand control of liquid inclusion morphology via direct ink write processing provides a new and efficient method to manufacture elastomeric composites. During the manufacturing process, the local material composition and liquid inclusion microstructure are actively tailored to control the electrical, thermal, and mechanical properties of elastomeric composites. By combining printing ink properties and process control with tool design and modeling this work provides new fundamental knowledge to create scalable manufacturing strategies for processing emulsions. This leads to novel model material systems with programmable processing-structure-property relationships to determine physics-based properties of multi-component soft matter.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.

功能乳液是一种新兴的材料结构，用于制造柔软且可弹性变形的高功能弹性体复合材料，然而，控制乳液中复合材料的局部成分和微观结构的技术，最终决定了固化弹性体复合材料的材料特性和性能。该奖项支持开发增材制造技术来控制乳液中液体夹杂物微观结构的基础研究，以实现弹性体中前所未有的热、电和机械功能组合。通过材料和制造知识对夹杂物微观结构进行编程，下一代功能材料的复合结构的新范例得以实现，从而在电子和机器人领域产生新的应用，这通过不断发展的“背后”集合使美国经济和社会受益。该项目由团队成员制作的研究视频和面向 9-12 年级学生的制造研讨会为增材制造和软机器人新兴领域的未来领导者提供灵感和培训。该项目建立了增材制造的加工-结构-性能关系制造功能性这是通过创建模型乳液油墨、加工方法和现场过程监控来确定材料成分和打印条件如何影响材料微观结构来实现的。结合乳液挤出的新理论模型来预测整个制造零件中液相夹杂物的微观结构，对液态金属和甘油液相夹杂物进行了检查，因为它们具有明显不同的基本特性，但两者都具有广泛的适用性。在软物质工程领域，与具有固定形状和尺寸的刚性炭黑、铜或二氧化硅颗粒填料相比，通过直接墨水写入处理按需控制液体夹杂物形态提供了一种新的高效制造方法。在制造过程中，通过将印刷油墨特性和工艺控制与工具设计和建模相结合，主动定制局部材料成分和液体夹杂物微观结构，以控制弹性复合材料的电学、热学和机械性能。基础知识创建用于加工乳液的可扩展制造策略，从而产生具有可编程加工-结构-性能关系的新型模型材料系统，以确定多组分软物质的基于物理的性能。该奖项反映了 NSF 的法定使命，并被认为值得支持。通过使用基金会的智力优点和更广泛的影响审查标准进行评估。