GOALI: A Novel Strategy for Large-Scale Industrial Topology Optimization

GOALI：大规模工业拓扑优化的新策略

• 批准号: 1232508
• 负责人: Krishnan Suresh
• 金额: $ 24.26万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232508&HistoricalAwards=false
• 关键词: GOALI; Novel; Strategy; Large; Scale

The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) award is to develop a novel and powerful topology optimization method. The research will be carried through close collaboration with Mercury Marine (WI), the industrial partner for this award. The specific tasks are: (1) to identify a set of topology optimization problems that are representative of the challenges faced by the industry today; (2) to significantly improve the speed and reliability of topology optimization; (3) to focus on product realization and commercialization. In addition to collaborating with the industrial partner, the research will leverage student-designed SAE Formula cars at UW-Madison to put the topology optimization algorithms to a rigorous test.If successful, the research will provide a fresh stimulus to the mathematically rich discipline of topology optimization. It will further strengthen the theory of topological sensitivity by applying it to complex problems of engineering interest. It will explore and exploit relationship between existing topology optimization methods and new method. Through industrial interaction, the research will create better understanding, formulation and solution of practical topology optimization problems. The broader impacts of the research are: (1) better optimization techniques will lead to reduced physical prototyping, and reduced material usage; (2) undergraduates and graduate students at UW-Madison will be exposed to topology optimization through case-studies, and summer co-ops at Mercury-Marine, and (3) the impact of the industrial interaction is on budding engineers who will be exposed to a unique blend of research, industrial experience and formal education. The research is transformative in that it suggests a fundamentally new direction for topology optimization that has not been investigated by the research community.

该赠款与行业联络（Goali）奖的赠款机会的研究目标是开发一种新颖而有力的拓扑优化方法。该研究将通过与该奖项的工业合作伙伴Mercury Marine（WI）密切合作进行。具体任务是：（1）确定一组代表当今行业面临的挑战的拓扑优化问题； （2）显着提高拓扑优化的速度和可靠性； （3）专注于产品实现和商业化。除了与工业合作伙伴合作之外，该研究还将利用UW-Madison的学生设计的SAE配方奶赛车将拓扑优化算法列入严格的测试。它将通过将其应用于工程兴趣的复杂问题来进一步增强拓扑敏感性的理论。它将探索和利用现有拓扑优化方法与新方法之间的关系。通过工业互动，研究将为实践拓扑优化问题提供更好的理解，制定和解决方案。研究的更广泛影响是：（1）更好的优化技术将导致物理原型减少，并减少材料使用； （2）UW-Madison的本科生和研究生将通过案例研究和汞 - 海滨的夏季合作社进行拓扑优化，以及（3）工业互动的影响是对新兴工程师的影响，这些工程师将暴露于研究，工业经验和正规教育的独特融合。这项研究具有变革性，因为它提出了从根本上进行拓扑优化的新方向，研究界尚未研究。