Planning Grant, University of Washington: Center for Data-driven High-rate Composites Manufacturing (DH-COM)
Planning Grant, University of Washington: Center for Data-driven High-rate Composites Manufacturing (DH-COM)
批准号:
2137226
负责人:
Junlan Wang
金额:
$2.0万
依托单位:
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
项目状态:
已结题
起止时间:
2022-01-15 至 2022-12-31
中文摘要
该计划赠款旨在在华盛顿大学建立一个IUCRC数据驱动高速复合材料制造中心(DH-COM)。DH-COM中心的愿景是成为工业界、学术界和政府机构的一个充满活力的创新生态系统,建立基于数据驱动和先进分析方法、高速制造技术和先进复合材料的未来复合材料制造。拟议中的中心解决了美国工业面临的一个重要挑战,特别是在航空航天,汽车,国防和能源领域-对轻质和高性能材料的需求日益增长。该中心位于太平洋西北部,周围环绕着航空航天、复合材料、卡车运输和数据科学行业的国家领导者,并与之密切联系。 通过开发数据驱动的高速率复合材料制造,该中心将通过以下方式支持美国的全球竞争力:1)以少得多的能量消耗精益且具有成本效益地制造复杂复合材料,2)复合材料将用于目前用其他更昂贵且性能更低的材料完成的应用中,3)具有小得多的环境足迹的可回收材料和产品,4)快速开发,新型复合材料制造工艺的测试和实施; 5)为具有先进复合材料科学和技术知识的多样化劳动力提供培训和就业机会,这些劳动力将成为未来复合材料领域的领导者。对轻质和高性能材料的需求不断增长,推动全球复合材料市场快速扩张。该中心的主要目标是解决目前复合材料制造中未满足和未充分满足的需求,特别是那些限制各种高速率复合材料制造技术进一步扩展和采用的需求,以及低成本高性能可回收复合材料的开发。基于物理的数据驱动方法将应用于复合材料制造的所有阶段,以开发从材料开发,过程控制到性能预测和健康监测以及可持续性的集成技术。初步研究将在几个关键领域进行,包括高速制造,表面和界面科学,物理信息数据支持的闭环制造和摇篮到摇篮模拟。这项研究将带来重大的科学发现和技术进步,例如提高对高速制造过程中极端条件下复杂材料行为的理解;开发和实施环保和可回收的复合材料;具有上级抗紫外线降解,腐蚀和热疲劳的新型多功能涂层;和现场监测/感测,主动控制和多尺度多物理模拟工具,用于理解加工缺陷和服役退化对复合材料失效和再加工材料性能的影响。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标准。
英文摘要
This planning grant aims to establish an IUCRC Center on Data-driven High-rate Composites Manufacturing (DH-COM) at the University of Washington. The vision of the DH-COM center is to act as a vibrant innovation ecosystem of industry, academia and government agencies, establishing manufacturing of the future composites rooted in data-driven and advanced analytics methods, high-rate fabrication technologies, and advanced composite materials. The proposed center addresses an important challenge facing the US industries, especially in aerospace, automotive, defense and energy sectors - the increasing demand for lightweight and high-performance materials. Located in the Pacific Northwest, the proposed center is surrounded by and closely connected with national leaders in aerospace, composites, trucking and data science industries. By developing data-driven high-rate composites manufacturing, the center will support US global competitiveness by enabling: 1) lean and cost-effective manufacturing of complex composites with much less energy consumption, 2) composites to be used in applications that are currently done with other more costly and lower performance materials, 3) recyclable materials and products with much smaller environmental footprint, 4) fast development, testing and implementation of novel composites manufacturing processes, and 5) training and job opportunity for a diverse workforce with advanced composites science and technology knowledge that will become tomorrow’s leaders in the composites sector.Increasing demand for lightweight and high-performance materials is driving the global composites market to expand at a rapid speed. The primary objective of the proposed center is to address the currently unmet and underserved needs in composites manufacturing, especially those that limit the further expansion and adoption of various high-rate composites manufacturing technologies, and development of low-cost high-performance recyclable composites. Physics-based data-driven methods will be applied to all stages of composites manufacturing to develop an integrated technology from materials development, process control to performance prediction and health monitoring, as well as sustainability. Initial research will be conducted in several key areas including high-rate manufacturing, surface and interface science, physics-informed data-enabled closed-loop manufacturing, and cradle-to-cradle simulation. The proposed research will enable significant science discoveries and technology advancement, such as improved understanding of the complex material behavior under extreme conditions in the high-rate manufacturing processes; development and implementation of eco-friendly and recyclable composites; novel multifunctional coatings with superior resistance against ultra-violet degradation, corrosion, and thermal fatigue; and in-situ monitoring/sensing, active-control and multiscale multi-physics simulation tools for understanding the effect of processing defects and service degradations on composites failure and performance of reprocessed 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.
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会议论文
MRI: Acquisition of an Advanced Nanoindentation System for Multidisciplinary Research and Training
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批准号:1725771
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项目类别:Standard Grant
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资助金额:$45.42万
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财政年份:2017
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负责人:Junlan Wang
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依托单位:
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批准号:1534481
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资助金额:$1.2万
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财政年份:2015
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负责人:Junlan Wang
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依托单位:
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批准号:0935758
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项目类别:Standard Grant
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资助金额:$32.06万
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财政年份:2009
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依托单位:
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批准号:0747295
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项目类别:Standard Grant
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财政年份:2008
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负责人:Junlan Wang
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依托单位:
海外基金