Effects of Milling Parameters on Residual Stress and Cutting Force

The 7075-T7451 aluminum alloy, widely used in aerospace, aviation, and automotive fields for critical load-bearing components due to its excellent mechanical properties, suffers from residual stresses induced by thermo-mechanical coupling during milling, which deteriorate workpiece performance. This study explores how key milling parameters-spindle speed *n<sub>c</sub>*, feed per tooth *f<sub>z</sub>*, cutting depth *a<sub>p</sub>*, and cutting width *a<sub>e</sub>*-affect surface residual stress and cutting force via orthogonal experiments and finite element analysis (FEA). Results show *a<sub>e</sub>* is critical for X-direction residual stresses, while *f<sub>z</sub>* dominates Y-direction ones. Cutting force increases with *f<sub>z</sub>*, *a<sub>p</sub>*, and *a<sub>e</sub>* but decreases with higher *n<sub>c</sub>*. Multivariate regression-based prediction models for residual stress and cutting force were established, which effectively characterize parameter-response relationships with maximum prediction errors of 18.69% (residual stress) and 12.27% (cutting force), showing good engineering applicability. The findings provide theoretical and experimental foundations for multi-parameter optimization in aluminum alloy milling and residual stress/cutting force control, with satisfactory practical effectiveness.

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Publication Details

Journal
Materials
Published
2025-08-15
DOI
https://doi.org/10.3390/ma18163836
Citations
3
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
2.14

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article

Effects of Milling Parameters on Residual Stress and Cutting Force

Haili Jia, Long Wu, Aimin Wang, Wu Xiong
3 citations
Materials
Advanced machining processes and optimization
2.14
article

Effects of Milling Parameters on Residual Stress and Cutting Force

Haili Jia, Long Wu, Aimin Wang, Wu Xiong
article en
3 citations

Abstract

The 7075-T7451 aluminum alloy, widely used in aerospace, aviation, and automotive fields for critical load-bearing components due to its excellent mechanical properties, suffers from residual stresses induced by thermo-mechanical coupling during milling, which deteriorate workpiece performance. This study explores how key milling parameters-spindle speed *n<sub>c</sub>*, feed per tooth *f<sub>z</sub>*, cutting depth *a<sub>p</sub>*, and cutting width *a<sub>e</sub>*-affect surface residual stress and cutting force via orthogonal experiments and finite element analysis (FEA). Results show *a<sub>e</sub>* is critical for X-direction residual stresses, while *f<sub>z</sub>* dominates Y-direction ones. Cutting force increases with *f<sub>z</sub>*, *a<sub>p</sub>*, and *a<sub>e</sub>* but decreases with higher *n<sub>c</sub>*. Multivariate regression-based prediction models for residual stress and cutting force were established, which effectively characterize parameter-response relationships with maximum prediction errors of 18.69% (residual stress) and 12.27% (cutting force), showing good engineering applicability. The findings provide theoretical and experimental foundations for multi-parameter optimization in aluminum alloy milling and residual stress/cutting force control, with satisfactory practical effectiveness.

MaterialsVol. 18(16)
Tianjin University of Technology and Education (CN), Shandong Jianzhu University (CN), Beihang University (CN)
Tianjin Science and Technology Program
Openalex Percentile: Top 12%
Advanced machining processes and optimization
2.14
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