Packaging and topology optimization and product family design for aerospace structures

航空航天结构的封装和拓扑优化以及产品系列设计

基本信息

批准号：
514755-2017
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：
Collaborative Research and Development Grants
财政年份：
2020
资助国家：
加拿大
起止时间：
2020-01-01 至 2021-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=696871
关键词：
Packaging topology optimization product family

项目摘要

As modern engineering designs become increasingly complex, industry is continually striving for ways to streamline their design and manufacturing processes, while improving the quality of their products. Topology optimization can produce a non-intuitive optimal design from an unbiased starting point in a shorter period of time, with better performance than a component designed using traditional iterative design methods. Packaging optimization determine the most efficient layout of components within a given set of boundaries to reduce size, weight, and overall cost. Throug partnership between researchers at Queen's University and leading industry experts at Bombardier Aerospace, the project will focus heavily on developing novel theoretical advancements via algorithms and methodologies to solve modern engineering design problems. The objective of this proposed research is to develop new design methodologies in packaging and topology optimization which can be applied to aerospace structural and system layout design in order to reduce weight and costs of aerospace structures, while satisfying certification requirements. The theoretical research completed will be applied to three real-world engineering design problems at Bombardier Aerospace. The design of aircraft seating, passenger service units (PSU's), and cockpit doors will be completed using the methodologies produced from the research for validation. Certification considerations will be thoroughly studied to ensure that all designs produced as a result of this research meet CARs (Canadian Aviation Regulations) and FARs (Federal Aviation Regulations) requirements. This project will support 2 PhD students and 5 Master's students over 5 years.

随着现代工程设计变得越来越复杂，业界不断寻求简化设计和制造流程的方法，同时提高产品质量。拓扑优化可以在更短的时间内从无偏的起点产生非直观的最优设计，其性能比使用传统迭代设计方法设计的组件更好。封装优化确定给定边界内最有效的组件布局，以减小尺寸、重量和总体成本。通过女王大学研究人员和庞巴迪航空航天领先行业专家之间的合作，该项目将重点关注通过算法和方法开发新颖的理论进步，以解决现代工程设计问题。这项研究的目的是开发新的封装和拓扑优化设计方法，可应用于航空航天结构和系统布局设计，以减轻航空航天结构的重量和成本，同时满足认证要求。完成的理论研究将应用于庞巴迪航空航天公司的三个现实工程设计问题。飞机座椅、乘客服务单元 (PSU) 和驾驶舱门的设计将使用验证研究产生的方法来完成。将彻底研究认证注意事项，以确保本研究产生的所有设计均符合 CAR（加拿大航空法规）和 FAR（联邦航空法规）要求。该项目将在5年内支持2名博士生和5名硕士生。