Multi-material and multi-joint topology optimization for automotive lightweight design

汽车轻量化设计的多材料、多关节拓扑优化

• 批准号: 451502-2013
• 负责人: Kim, IlYong
• 金额: $ 9.92万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Automotive Partnership Canada Project
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=575426
• 关键词: Multi; material; multi; joint; topology

With new government regulations on fuel efficiency and C02 emissions, automotive manufacturers are under tremendous pressure to reduce vehicle mass drastically. As an example, OEMs have to significantly improve vehicle mileage through a series of steps beginning in 2016 through to 2025 due to the mandated Corporate Average Fuel Economy (CAFE). The fuel economy requirements will transform the way in which vehicles are designed and manufactured as automakers are looking at every possible means to reduce weight. Topology optimization determines the optimum layout or distribution of material that minimizes weight while maintaining important performance characteristics; and this is one of the most effective and promising design techniques for reducing vehicle weight. The use of various lightweight materials in vehicle development is rapidly increasing, and this raises a new design challenge: "What are the optimum use and distribution of multiple materials and the optimum joining methods?" Conventional optimization approaches are ill equipped for this challenge, and it is imperative to develop an effective approach that can determine the optimum use of the multiple, dissimilar materials and their joining methods. The objectives of this research are (1) to determine optimum designs of next generation vehicle chassis joining strategies which utilize mixed materials and various joining methods (2) by developing advanced topology optimization approaches for multiple material joint designs and joining methods. By developing new techniques for multi-material and multi-joint topology optimization, optimized designs will be determined for the ladder chassis frame of a light-duty truck by General Motors of Canada. A total weight savings of 30% is targeted, without sacrificing the strength or stiffness of the frame. The final deliverables for the project are production ready designs for next generation ladder frame assemblies as well as optimization-software modules for use by GM Canada in its early vehicle architecture development stage.

随着政府对燃油效率和二氧化碳排放的新规定，汽车制造商受到 巨大的压力，以减少车辆的质量大幅。例如，原始设备制造商必须大幅改善车辆 由于强制规定的公司平均燃油消耗量，从2016年开始到2025年， 经济舱（CAFE）。燃油经济性要求将改变车辆的设计方式， 汽车制造商正在寻找一切可能的方法来减轻重量。 拓扑优化确定材料的最佳布局或分布，从而在保持 重要的性能特征;这是最有效和最有前途的设计技术之一， 减少车辆重量。各种轻量化材料在车辆开发中的使用正在迅速增加， 提出了新的设计挑战：“多种材料的最佳使用和分布以及最佳连接是什么 方法？“传统的优化方法无法应对这一挑战，因此必须开发一种 一种有效的方法，可以确定多种不同材料及其连接方法的最佳使用。 本研究之目的为：（1）确定下一代汽车底盘连接之最佳设计 利用混合材料和各种连接方法的策略（2）通过开发先进的拓扑优化 用于多种材料接合设计和接合方法的方法。 通过开发多材料和多关节拓扑优化的新技术， 由加拿大通用汽车公司为轻型卡车的梯形底盘框架确定。总重量节省 30%是目标，而不牺牲框架的强度或刚度。该项目的最终交付成果是 用于下一代梯架组件的生产就绪设计以及优化软件模块 通用汽车加拿大公司在其早期的车辆架构开发阶段。