System, Layout, and Topology Optimization for Automotive and Aerospace Design

汽车和航空航天设计的系统、布局和拓扑优化

• 批准号: RGPIN-2021-02478
• 负责人: Kim, IlYong
• 金额: $ 4.66万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759855
• 关键词: System; Layout; Topology; Optimization; Automotive

We are currently on the frontier of the next generation of transportation, with hydrogen fuel cell cars, hybrid aircraft, and unmanned personal aerial vehicles being developed by hundreds of start-ups and established companies around the world. To achieve radical and innovative designs, engineers and researchers are faced with a highly coupled, nonlinear, and multi-modal system design challenge involving hundreds of components with unintuitive multi-physics interactions. However, no rigorous or effective design methodologies or computational tools can solve this complex problem. My long-term research goal is to make a profound impact on system-level design by developing innovative and effective multi-physics, multi-material optimization algorithms that determine the optimal structural topology, component layout, and joint connections within a design space. This long-term goal will be realized by accomplishing three short term (5 year) objectives: Objective 1: Creation of mathematical algorithms for integrated system layout optimization, multi-physics, and multi-material topology optimization; Objective 2: Development of a multi-joint methodology for multi-material, multi-physics topology optimization of systems with multiple components and multiple design domains; and Objective 3: Formulation of a numerical approach to optimize component and design domain layout considering nonlinear crashworthiness responses. The proposed research will be completed by 10 HQP (3 MSc, 2 PhD, 1 PDF, 4 UG). My HQP will have significant opportunities to contribute to the development of fundamental numerical methodologies and to apply their work to challenging system design problems. Under my supervision, HQP will gain academic and technical knowledge while improving their problem solving, communication, and leadership skills in an inclusive environment. This research program will ultimately produce rigorous mathematical algorithms capable of simultaneously performing system, layout, and topology optimization to create innovative and unconventional designs. This integrated methodology considering multi-physics effects will fundamentally change research in system layout optimization and the mechanical design process. The proposed research, if successful, will empower engineers to dramatically increase fuel efficiency, improve safety, reduce material use, and will provide a strong platform for the next generation of green vehicles.

目前，我们正处于下一代交通的前沿，世界各地数百家初创企业和老牌公司正在开发氢燃料电池汽车、混合动力飞机和无人驾驶个人飞行器。为了实现激进和创新的设计，工程师和研究人员面临着高度耦合、非线性和多模态系统设计挑战，涉及数百个具有不直观的多物理场相互作用的组件。然而，没有严格或有效的设计方法或计算工具可以解决这个复杂的问题。我的长期研究目标是通过开发创新且有效的多物理场、多材料优化算法来确定设计空间内的最佳结构拓扑、组件布局和接头连接，从而对系统级设计产生深远影响。这一长期目标将通过完成三个短期（5 年）目标来实现： 目标 1：创建用于集成系统布局优化、多物理场和多材料拓扑优化的数学算法；目标 2：开发一种多关节方法，用于具有多个组件和多个设计域的系统的多材料、多物理拓扑优化；目标 3：考虑非线性耐撞响应，制定数值方法来优化组件和设计域布局。拟议的研究将由 10 个 HQP（3 个硕士、2 个博士、1 个 PDF、4 个 UG）完成。我的总部将有重要的机会为基础数值方法的发展做出贡献，并将他们的工作应用于具有挑战性的系统设计问题。在我的监督下，HQP 将获得学术和技术知识，同时在包容的环境中提高他们解决问题、沟通和领导的技能。 该研究计划最终将产生严格的数学算法，能够同时执行系统、布局和拓扑优化，以创建创新和非常规的设计。这种考虑多物理效应的综合方法将从根本上改变系统布局优化和机械设计过程的研究。拟议的研究如果成功，将使工程师能够大幅提高燃油效率、提高安全性、减少材料使用，并将为下一代绿色汽车提供强大的平台。