Multiscale Process Modeling for 6000 Series Aluminum Alloys
Multiscale Process Modeling for 6000 Series Aluminum Alloys
批准号:
571909-2022
负责人:
Inal, KaanAK
金额:
$5.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
拟议的研究项目将侧重于创建一个多尺度建模框架,可用于铝汽车板的端到端过程建模。这项工作将与诺贝丽斯合作完成,诺贝丽斯是汽车行业最大的铝板供应商。汽车制造商正在寻找经济有效的方法来减轻车辆的重量,同时仍然满足所需的性能标准。铝板是满足政府规定的最具吸引力的产品。传统的试错开发周期会增加生产成本。数值模拟提供了一个关键的技术工具,可以用来填补这一决策空白。该项目将开发单独的模型,可以模拟热机械(TM)过程中各个阶段的微观结构演变,从而导致最终组件的生产。目标是开发一套工具,可以用来对TM过程的每个“部分”进行建模。此外,框架将确定这些过程之间的联系,以便这些开发的工具可以依次应用,以获得“真正的”端到端建模框架。Novelis正计划将这个项目中开发的模型作为一个集成的计算框架来实现。该项目还将培养高素质的人才,帮助建立加拿大的人才库。
英文摘要
The proposed research project will focus on creating a multiscale modelling framework that can be used for end-to-end process modelling of aluminum automotive sheets. This work will be done in partnership with Novelis, which is the largest supplier of sheet aluminum to the automotive industry. The automotive manufacturers are looking for cost-effective ways to lightweight the vehicles whilst still meeting the required performance standards. Aluminum sheets are the most attractive product for the industry to meet government regulations. The traditional approach of trial-and error development cycles can increase the cost of production. Numerical modeling provides a critical technological tool that can be used to fill this decision-making gap. This project will develop separate models that can model the microstructure evolution during various stages of the Thermo-Mechanical (TM) process that leads to the final component production. The goal is to develop a set of tools that can be used to model each "part" of the TM process. In addition, the framework will identify the linkages between these processes so that these developed tools can be applied sequentially to get "true" end-to-end modelling framework. Novelis is planning to implement the models developed in this project as an integrated computational framework. The project will also train highly qualified personnel that can who will help build the talent pool in Canada.
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