Lightweighting using multi-materials and parts integration

利用多材料和零件集成实现轻量化

基本信息

批准号：
505553-2016
负责人：
Kim, IlYong
金额：
$ 5.83万
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：
2021
资助国家：
加拿大
起止时间：
2021-01-01 至 2022-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719283
关键词：
Lightweighting using multi materials parts

项目摘要

The automotive industry is facing significant challenges for next-generation vehicle design as fuel economy regulations and tailpipe emission standards continue to strive for greater efficiency. In order to ensure vehicle design reaches these sustainability targets, lightweighting through multi-material design and topology optimization has been suggested as the leading method to reduce weight from conventional chassis and body structures. More effective tools, techniques, and methodologies are now required to advance the development of multi-phase optimization tools beyond current commercial capability, and help automotive designers achieve critical efficiency improvements without sacrificing performance. The proposed research will perform three main tasks, which cannot be achieved by means of currently available commercial software: (1) multi-material topology optimization for composites (by considering layered, anisotropic materials) and NVH (noise, vibration, and harshness); (2) multi-joint topology optimization and optimization for parts consolidation; and (3) large-scale topology optimization with full integration onto multi-material topology optimization and multi-joint topology optimization. All three tasks seek to address the next major challenges in multi-material design and build upon the state-of-the-art research in the field, currently being conducted at Queen's University. The primary objectives of this research are to create advanced multi-material design algorithms, develop new computational tools, and solve complex, real-world industry problems for next-generation vehicle design. The project will support total 4 PhD students and 6 MSc students throughout their research activities and until graduation.

随着燃油经济性法规和尾管排放标准继续努力提高效率，汽车行业面临着下一代车辆设计的重大挑战。为了确保车辆设计达到这些可持续性目标，已提出通过多物质设计和拓扑优化的轻巧，作为减轻常规底盘和身体结构体重的主要方法。现在需要更有效的工具，技术和方法来推动多相优化工具的开发超出当前商业能力，并帮助汽车设计师在不牺牲性能的情况下实现关键的效率提高。拟议的研究将执行三个主要任务，这些任务无法通过当前可用的商业软件来实现：（1）对复合材料（通过考虑分层，各向异性材料）和NVH（噪声，振动和刺激性）的多物质拓扑优化；（2）零件合并的多关节拓扑优化和优化；（3）与多物质拓扑优化和多关节拓扑优化的大规模拓扑优化。所有三个任务都旨在应对多物质设计的下一个主要挑战，并基于该领域的最先进研究，目前正在皇后大学进行。这项研究的主要目标是创建高级多物质设计算法，开发新的计算工具，并解决下一代车辆设计的复杂，现实世界中的行业问题。该项目将在整个研究活动中和毕业直至毕业。