GOALI/Collaborative Research: Fundamental Study of Impacts of Manufacturing Processes and Automation on Material Properties of Composite Products

GOALI/合作研究：制造工艺和自动化对复合材料产品材料性能影响的基础研究

• 批准号: 1435488
• 负责人: Yu Zhou
• 金额: $ 10万
• 依托单位: SUNY Institute of Technology Utica-Rome
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1435488&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Fundamental; Study

Fiber reinforced polymer composites, by virtue of their high stiffness and high strength-to-weight ratio, are increasingly used in a wide range of industries such as transportation, marine, wind energy, aerospace, and construction. Automation of composite laminates manufacturing is instrumental in meeting the growing demand for composites and promises to revolutionize composite-dependent industries. However, the few existing layup automation systems are prohibitively expensive and are not fully optimized for product quality. This Grant Opportunity for Academic Liaison with Industry (GOALI) research aims to establish a systematic framework that will assist in solving the critical challenges in automation, monitoring and control for composite laminates manufacturing. The framework will establish the necessary fundamental understanding of relationships among composite constituents' properties, principal composite manufacturing processes and automation, and fabricated product quality. The new knowledge will help increase productivity and quality of composite laminates manufacturing. Results from this research will assist U.S. composite manufacturers and benefit the U.S. economy and society. This GOALI research employs a multi-disciplinary approach (involving solid mechanics, composites engineering, control theory and robotics) to achieve the research objectives. In addition, it incorporates research goals with industrial needs and helps broaden the participation of underrepresented groups in research and enhance engineering education. This research will fill the knowledge gap in the complex interactions between fabrication parameters and laminas' temperature- and time- dependent properties (viscoelasticity and tackiness) and their impact on the properties of composite laminates (i.e., a stack of multi-directional laminas arranged to exhibit specific mechanical properties). The research team will (1) create multi-physics manufacturing process models to predict impacts of process parameters on manufacturing induced defects and final product quality, and conduct experiments to verify the models; (2) gain an understanding on the roles of quality inspection and optimal control in increasing productivity through manufacturing dynamics simulations; and (3) obtain the knowledge on how to control the physical process to ensure the product quality as a guideline for manufacturing practices.

纤维增强聚合物基复合材料凭借其高刚度、高比强度等优点，在交通运输、船舶、风能、航空航天、建筑等行业得到了越来越广泛的应用。复合材料层压板制造的自动化有助于满足对复合材料日益增长的需求，并有望给依赖复合材料的行业带来革命性的变化。然而，现有的少数几个上篮自动化系统价格高得令人望而却步，而且没有完全优化产品质量。GOALI学术联络机会(GOALI)研究旨在建立一个系统的框架，帮助解决复合材料层压板制造中的自动化、监测和控制方面的关键挑战。该框架将建立必要的基础知识，了解复合材料成分的特性、主要复合材料制造工艺和自动化以及成品质量之间的关系。这一新知识将有助于提高复合材料层压板制造的生产率和质量。这项研究的结果将有助于美国复合材料制造商，并使美国经济和社会受益。这项目标研究采用了多学科的方法(涉及固体力学、复合材料工程、控制理论和机器人学)来实现研究目标。此外，它将研究目标与工业需求结合起来，有助于扩大代表不足的群体参与研究的范围，并加强工程教育。这项研究将填补在制造参数和层板的温度和时间相关的性能(粘弹性和粘性)之间的复杂相互作用以及它们对复合材料层板(即排列成显示特定机械性能的多方向层板的堆叠)性能影响方面的知识空白。研究团队将(1)创建多物理制造过程模型，以预测工艺参数对制造缺陷和最终产品质量的影响，并进行实验以验证模型；(2)通过制造动力学模拟，了解质量检验和优化控制在提高生产率中的作用；以及(3)获得有关如何控制物理过程的知识，以确保产品质量，作为制造实践的指导。