LAPSE:2023.0050v1
Published Article

LAPSE:2023.0050v1
Numerical Simulation and Process Optimization of Magnesium Alloy Vehicle Dashboard Cross Car Beam (CCB) Based on MAGMA
February 17, 2023
Abstract
At present, the qualified rate of large thin-walled magnesium alloy castings is low. In this study, the effects of mold structure and process parameters were investigated to improve the production qualification rate of castings. The filling process of die castings was simulated by numerical simulation technology to optimize their structure. On the basis of an optimized mold structure, the process parameters of die castings were optimized using a response surface model, and a group of optimal process combinations were obtained: pouring temperature—660 °C; mold preheating temperature—200 °C; injection speed—6.5 m/s. The rationality of the optimized mold structure and process parameters is verified by die-casting experiments. The results show that the optimized mold structure and process parameters can effectively reduce the internal shrinkage cavity casting defects of automotive CCB castings, and effectively improve the production qualification rate of magnesium alloy CCB castings. This research has important guiding significance for the production of large thin-walled magnesium alloy parts.
At present, the qualified rate of large thin-walled magnesium alloy castings is low. In this study, the effects of mold structure and process parameters were investigated to improve the production qualification rate of castings. The filling process of die castings was simulated by numerical simulation technology to optimize their structure. On the basis of an optimized mold structure, the process parameters of die castings were optimized using a response surface model, and a group of optimal process combinations were obtained: pouring temperature—660 °C; mold preheating temperature—200 °C; injection speed—6.5 m/s. The rationality of the optimized mold structure and process parameters is verified by die-casting experiments. The results show that the optimized mold structure and process parameters can effectively reduce the internal shrinkage cavity casting defects of automotive CCB castings, and effectively improve the production qualification rate of magnesium alloy CCB castings. This research has important guiding significance for the production of large thin-walled magnesium alloy parts.
Record ID
Keywords
die casting, magnesium alloy, process optimization, response surface experiments
Subject
Suggested Citation
Li J, Chen L, Jiang S, Gan H, Hao W. Numerical Simulation and Process Optimization of Magnesium Alloy Vehicle Dashboard Cross Car Beam (CCB) Based on MAGMA. (2023). LAPSE:2023.0050v1
Author Affiliations
Li J: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Chen L: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Jiang S: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China [ORCID]
Gan H: WanFeng Meridian Lightweight Technology Co., Ltd., Shaoxing 312000, China
Hao W: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Chen L: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Jiang S: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China [ORCID]
Gan H: WanFeng Meridian Lightweight Technology Co., Ltd., Shaoxing 312000, China
Hao W: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Journal Name
Processes
Volume
11
Issue
1
First Page
16
Year
2022
Publication Date
2022-12-22
ISSN
2227-9717
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Original Submission
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PII: pr11010016, Publication Type: Journal Article
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LAPSE:2023.0050v1
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https://doi.org/10.3390/pr11010016
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Feb 17, 2023
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