Numerical Simulation and Experimental Validation of Residual Stress in Heavy Machine Tool Crossbeam Casting During Demolding

This study investigates a heavy-duty CNC machine tool crossbeam casting manufactured by a leading heavy machine tool producer. A numerical simulation model for the demolding process was developed using proprietary Computer-Aided Engineering (CAE) software. The experimental validation of the residual stress was performed using the blind-hole method on the guide rail mounting surface. The simulation results were compared with experimental data, revealing that the post-demolding simulations exhibited smaller fluctuations than the pre-demolding predictions. The maximum principal stress prediction resulted in an absolute error of 11.8%, effectively reflecting the residual stress distribution for casting design and production optimization.

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Publication Details

Journal
Metals
Published
2025-06-20
DOI
https://doi.org/10.3390/met15070687
Primary Topic
Metal Alloys Wear and Properties
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical Simulation and Experimental Validation of Residual Stress in Heavy Machine Tool Crossbeam Casting During Demolding

Dunming Liao, Yi‐Qi Zhang, Jingfan Cheng
Metals
Metal Alloys Wear and Properties
article

Numerical Simulation and Experimental Validation of Residual Stress in Heavy Machine Tool Crossbeam Casting During Demolding

Dunming Liao, Yi‐Qi Zhang, Jingfan Cheng
article en

Abstract

This study investigates a heavy-duty CNC machine tool crossbeam casting manufactured by a leading heavy machine tool producer. A numerical simulation model for the demolding process was developed using proprietary Computer-Aided Engineering (CAE) software. The experimental validation of the residual stress was performed using the blind-hole method on the guide rail mounting surface. The simulation results were compared with experimental data, revealing that the post-demolding simulations exhibited smaller fluctuations than the pre-demolding predictions. The maximum principal stress prediction resulted in an absolute error of 11.8%, effectively reflecting the residual stress distribution for casting design and production optimization.

MetalsVol. 15(7)
Huazhong University of Science and Technology (CN)
Hubei Provincial Department of Education
Openalex Percentile: Top 90%
Metal Alloys Wear and Properties
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