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

我们目前正处于下一代交通工具的前沿，氢燃料电池汽车、混合动力飞机和无人驾驶个人飞行器正在由全球数百家初创企业和老牌公司开发。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的挑战，涉及数百个组件与非直观的多物理相互作用。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和有效的多物理场，多材料优化算法，确定最佳的结构拓扑结构，组件布局和设计空间内的接头连接，对系统级设计产生深远的影响。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：开发用于具有多个组件和多个设计域的系统的多材料、多物理场拓扑优化的多关节方法;以及目标3：考虑非线性耐撞性响应优化部件和设计域布局的数值方法的公式化。拟议的研究将由10 HQP（3硕士，2博士，1 PDF，4 UG）完成。我的HQP将有重要的机会，以促进基本数值方法的发展，并将其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的能力，沟通和领导能力。 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。这种考虑多物理场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。这项研究如果成功，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，并为下一代绿色汽车提供强大的平台。

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.