Modelling of an industrial die casting process for the production of aluminum automotive parts

被引：6

作者：

Ou, J. ^{[1
]}

Wei, C. ^{[1
,2
]}

Maijer, D. ^{[1
]}

Cockcroft, S. ^{[1
]}

Zhang, Y. ^{[2
]}

Chen, Z. ^{[2
]}

Zhu, Z. ^{[2
]}

机构：

[1] Univ British Columbia, Dept Mat Engn, 6350 Stores Rd, Vancouver, BC V6T 1Z4, Canada

[2] CITIC DICASTAL Co Ltd, 185 Long Hai Rd, Qinhuangdao, Hebei, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON MODELLING OF CASTING, WELDING AND ADVANCED SOLIDIFICATION PROCESSES (MCWASP XV) | 2020年 / 861卷

关键词：

HEAT-TRANSFER;

D O I：

10.1088/1757-899X/861/1/012030

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Die (permanent) casting is one of the major manufacturing processes for aluminum automotive parts thanks to its ability to provide a good balance between mechanical performance and production efficiency. In the die casting industry, computational modelling has been widely adopted to analyze, troubleshoot and optimize die design and process parameters. In this work, a computational modelling methodology including key process boundary conditions and material properties has been developed to simulate an industrial die casting process of an aluminum automotive part. It has been demonstrated that the model is accurate and robust with respect to temperature and defect prediction by comparison with a large amount of high-quality plant-trial data. The data was acquired from an in-house designed data acquisition system (DAQ) connected to an instrumented die and industrial production equipment in a production facility.

引用

页数：8

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