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.
Authors
- Haili Jia (ORCID: https://orcid.org/0000-0002-7961-6726)
- Long Wu (ORCID: https://orcid.org/0000-0002-6696-2486)
- Aimin Wang (ORCID: https://orcid.org/0000-0002-7259-8297)
- Wu Xiong (ORCID: https://orcid.org/0000-0001-5799-9407)
Institutions
- Tianjin University of Technology and Education (CN)
- Shandong Jianzhu University (CN)
- Beihang University (CN)
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
Funders
- Tianjin Science and Technology Program