汽车工业
废品
生产(经济)
材料科学
汽车工程
金属薄板
过程(计算)
制造工程
机械工程
工艺工程
冶金
计算机科学
工程类
复合材料
经济
航空航天工程
宏观经济学
操作系统
作者
A.R. Chezan,Eisso Atzema,Johan Pilthammar,Mats Sigvant
出处
期刊:IOP conference series
[IOP Publishing]
日期:2023-06-01
卷期号:1284 (1): 012037-012037
被引量:9
标识
DOI:10.1088/1757-899x/1284/1/012037
摘要
Abstract The current efforts to reduce the carbon footprint throughout the chain in the automotive industry by increased use of recycled materials poses new challenges for materials production and their use. The increase of steel scrap fraction in the current primary steel making processes, used for producing steel sheet metal for automotive components, possibly affects the material properties variability beyond the limits observed in the materials produced today despite mitigating actions in steel production. In this paper material variability increase was modelled by selecting deterministic values outside the range of the material grade used to design and manufacture an automotive part. The values were selected from an experimental data set representing the cold rolled mild steels material class range. The effects were studied numerically on a reverse engineered model of an existing automotive part production process. It was found that the manufacturing feasibility in this particular case is mainly affected by the weighted average plastic strain ratio and less by the degree of planar anisotropy.
科研通智能强力驱动
Strongly Powered by AbleSci AI