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CAREER: Understanding the Printability of Liquid Metal Dispersions for Additive Manufacturing

CAREER: Understanding the Printability of Liquid Metal Dispersions for Additive Manufacturing
职业:了解增材制造液态金属分散体的可印刷性
批准号:
1812948
负责人:
Rebecca Kramer-Bottiglio
金额:
$36.23万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2021-07-31

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中文摘要
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英文摘要
This Faculty Early Career Development (CAREER) Program grant will investigate an additive manufacturing process using liquid metal. This work has the potential to enable a new class of stretchable electronic devices to serve as platforms for soft robotics, safe human-machine interaction, active orthotics, wearable interfaces, or assistive medical devices for motion aid, prolonged endurance, and health-monitoring. In this research program, stretchable composite materials with electronic functionality will be created by printing liquid-metal traces in elastic polymers. The composite materials are expected to retain the function of rigid metal conductors while leveraging the highly deformable properties of the plastic matrix. The work will focus on the fundamental problems surrounding the processing of liquid metal in order to develop a scalable manufacturing process. The educational and outreach activities include the development of a low-cost, accessible, and scalable soft robot designed for middle- and high-school students.Additive manufacturing with liquid-metal dispersions will bridge the gap between well-established scalable liquid processing, such as printing, and the processing of emerging soft functional materials that exhibit high surface tension, viscosity, and density properties that typically preclude printability. The research objective of this project is to derive and validate the fundamental electromechanical behavior of liquid-metal dispersions during synthesis, deposition, and coalescence. The mechanical response of liquid-metal through these three processing phases will be coupled to its bulk electrical response using experiments, theories, and numerical models across different length scales. This grant will enable a fundamental understanding of the basic principles underlying scalable materials processing for soft electromechanical systems and will significantly improve our ability to design soft machines that deform, react to their environment, and adapt.
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