Deformation prediction model for milling residual stresses in complex thin-walled parts with variable curvature

Complex thin-walled parts with variable curvature are crucial in aerospace, yet their manufacturing-induced residual stresses often lead to deformation, posing challenges in surface residual stress measurement and deformation prediction due to the complex geometric coordinate system. This study develops a model for predicting the distribution of subsurface residual stresses and the resulting deformation. By integrating the segmented polynomial fitting and random forest regression methods, a subsurface residual stress distribution prediction model is established and verified through experiments on machining and stress detection of such parts. Additionally, a special fixture for stress detection is designed. Based on ABAQUS software, a deformation simulation model considering residual stress is developed. Through continuous two-month monitoring of parts with different processing parameters, it is found that the simulation results align with the experimental trend, with an error range of 6.7 %–12.4 %. Eventually, a deformation prediction model based on process parameters is constructed, which can effectively predict the deformation of these parts and provides a theoretical foundation for deformation control.

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Publication Details

Journal
Journal of Manufacturing Processes
Published
2025-02-18
DOI
https://doi.org/10.1016/j.jmapro.2025.02.032
Citations
13
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
9.27

Funders

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article

Deformation prediction model for milling residual stresses in complex thin-walled parts with variable curvature

Fupin Hu, Zhijian Lin, Chao Luo, Chongjun Wu et al.
13 citations
Journal of Manufacturing Processes
Advanced machining processes and optimization
9.27
article

Deformation prediction model for milling residual stresses in complex thin-walled parts with variable curvature

Fupin Hu, Zhijian Lin, Chao Luo, Chongjun Wu, Xiaohui Jiang, Ermakov Boris Sergeevich
article en
13 citations

Abstract

Complex thin-walled parts with variable curvature are crucial in aerospace, yet their manufacturing-induced residual stresses often lead to deformation, posing challenges in surface residual stress measurement and deformation prediction due to the complex geometric coordinate system. This study develops a model for predicting the distribution of subsurface residual stresses and the resulting deformation. By integrating the segmented polynomial fitting and random forest regression methods, a subsurface residual stress distribution prediction model is established and verified through experiments on machining and stress detection of such parts. Additionally, a special fixture for stress detection is designed. Based on ABAQUS software, a deformation simulation model considering residual stress is developed. Through continuous two-month monitoring of parts with different processing parameters, it is found that the simulation results align with the experimental trend, with an error range of 6.7 %–12.4 %. Eventually, a deformation prediction model based on process parameters is constructed, which can effectively predict the deformation of these parts and provides a theoretical foundation for deformation control.

Journal of Manufacturing ProcessesVol. 139
University of Shanghai for Science and Technology (CN), Donghua University (CN), Peter the Great St. Petersburg Polytechnic University (RU), Genertec Shenyang Machine Tool Co., Ltd. (China) (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 2%
Advanced machining processes and optimization
9.27
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