GOALI: Robust Sheet Forming Simulation via Implicit Methods

本研究的目的是提供更准确和稳健的板料成形过程模拟，以减少运输车辆的成本、质量、提前期和缺陷。该方法是俄亥俄州立大学和通用汽车研发中心之间的一个以合作用途为导向的基础研究项目，支持合作伙伴牛郎星工程公司和俄亥俄超级计算机中心。在项目初期取得的基本数值进展之后，将开发出新颖实用的有限元分析程序。特别是，隐式数字技术的进步将寻求赋予通常的优势，如准确性和一致性，同时提高稳健性和效率。该项目的社会效益包括提高车辆的燃油经济性，减少对环境的影响，以及为消费者提供更安全和更负担得起的交通工具。这项高度合作和杠杆作用的计划包括在通用汽车和牛郎星为期12个月的学生实习，旨在扩大研究生级别工程师的培训，将工业经验包括在内。通过与合作伙伴的日常合作和在合作伙伴网站的实习，受资助的研究生将受益于在大公司(GM)和小软件开发人员(Altair)的内部工作和学习文化的机会。联合PI瓦格纳将利用项目中实现的数值进步来构建可靠的指导模块，用于学生生成的板材成形程序模拟。

The objective of this research is to provide more accurate and robust simulation of sheet metal forming processes in order to reduce the costs, masses, lead times, and defects of transportation vehicles. The approach is a cooperative use-directed basic research project between the Ohio State University and General Motors R&D Center, with supporting partners Altair Engineering and The Ohio Supercomputer Center. Novel and practical finite-element analysis procedures will be developed following basic numerical advances made in the early stages of the project. In particular, advances in implicit numerical technology will be sought to confer the usual advantages of accuracy and consistency, while improving robustness and efficiency.Societal benefits of the project include improved fuel economy of vehicles, reduced impact on the environment, and safer and more affordable transportation for consumers. The highly cooperative and leveraged plan includes 12 months of student internships at GM and Altair aimed at broadening the training of graduate-level engineers to include experience in industry. The supported graduate students will profit from the opportunity, via daily cooperation with partners and internships at partner sites, to work within and learn the cultures of large companies (GM) and smaller software developers (Altair). Co-PI Wagoner will utilize the numerical advances realized in the project to construct reliable instruction modules for student-generated simulation of sheet forming programs.