GOALI: Robust Sheet Forming Simulation via Implicit Methods

本研究的目的是提供更准确和强大的金属板材成形过程的模拟，以减少成本，质量，交货时间和缺陷的运输车辆。 该方法是俄亥俄州州立大学和通用汽车研发中心之间的合作使用导向的基础研究项目，支持合作伙伴牵牛星工程和俄亥俄州超级计算机中心。 在项目早期阶段取得基本的数值进展之后，将开发新的和实用的有限元分析程序。 特别是，将寻求隐式数值技术的进步，以赋予准确性和一致性的通常优势，同时提高鲁棒性和效率，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实惠的交通工具。 这项高度合作和杠杆化的计划包括在通用汽车和Altair进行12个月的学生实习，旨在扩大研究生水平工程师的培训，包括行业经验。 支持的研究生将从这个机会中受益，通过与合作伙伴的日常合作和在合作伙伴网站的实习，在大公司（GM）和小型软件开发商（Altair）的文化中工作和学习。 合作PI瓦戈纳将利用该项目中实现的数字进步，为学生生成的板材成形程序模拟构建可靠的教学模块。

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.