Investigation on laser-assisted ultra-precision cutting process technology for SiCp/Al composites

Abstract Medium-volume-fraction SiCp/Al composites are premier candidates for optical components, yet their application is constrained by severe surface defects like particle pull-out and interfacial debonding. To address these challenges, an optimized laser-assisted machining (LAM) strategy is employed. Distinct from purely mechanical assistants that primarily focus on force reduction, LAM leverages selective thermal softening to create a compliant buffer within the aluminum matrix, thereby reducing the surface roughness Sa to 0.023 µm. Utilizing constitutive models calibrated via quasi-static and high-temperature dynamic tests, finite element analysis reveals that LAM-induced thermal softening of the matrix reduces interfacial stress concentration and suppresses SiCp/Al interfacial debonding, minimizing particle pull-out and subsequent secondary plowing effects. Furthermore, a novel surface quality evaluation scheme utilizing reconstructed three-dimensional point clouds is developed to quantify cavity defects, effectively addressing the limitations of conventional roughness metrics.

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Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2026-11-09
DOI
https://doi.org/10.1007/s00170-026-19419-1
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigation on laser-assisted ultra-precision cutting process technology for SiCp/Al composites

Chengcheng Sun, Andrea Mura, Daojie Hu, Peng Gu et al.
7 links
The International Journal of Advanced Manufacturing Technology
Advanced machining processes and optimization
article

Investigation on laser-assisted ultra-precision cutting process technology for SiCp/Al composites

Chengcheng Sun, Andrea Mura, Daojie Hu, Peng Gu, C G Zhu, Xiangjun Liu, Zhongjin Luo
article en

Abstract

Abstract Medium-volume-fraction SiCp/Al composites are premier candidates for optical components, yet their application is constrained by severe surface defects like particle pull-out and interfacial debonding. To address these challenges, an optimized laser-assisted machining (LAM) strategy is employed. Distinct from purely mechanical assistants that primarily focus on force reduction, LAM leverages selective thermal softening to create a compliant buffer within the aluminum matrix, thereby reducing the surface roughness Sa to 0.023 µm. Utilizing constitutive models calibrated via quasi-static and high-temperature dynamic tests, finite element analysis reveals that LAM-induced thermal softening of the matrix reduces interfacial stress concentration and suppresses SiCp/Al interfacial debonding, minimizing particle pull-out and subsequent secondary plowing effects. Furthermore, a novel surface quality evaluation scheme utilizing reconstructed three-dimensional point clouds is developed to quantify cavity defects, effectively addressing the limitations of conventional roughness metrics.

The International Journal of Advanced Manufacturing Technology
Tongji University (CN), Politecnico di Torino (IT), Donghua University (CN)
National Natural Science Foundation of China
Advanced machining processes and optimization
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