Research on milling performance of CF/PEEK composites assisted by laser-ultrasonic vibration

Carbon fiber/polyether ether ketone (CF/PEEK) composites, known for high thermal stability (Tg = 143°C) and a wide processing window (330–380°C), are promising for aerospace and high-performance uses. Their inherent anisotropy and inhomogeneity complicate machining. A laser–ultrasound-assisted milling (LAM-UAM) method, combining laser ablation with ultrasonic pulses, is introduced to improve CF/PEEK machinability. Milling tests were performed at four fiber orientations (0°, 45°, 90°, 135°) using four strategies: conventional (CM), laser-assisted (LAM), ultrasound-assisted (UAM), and LAM-UAM. The LAM-UAM method significantly improves machining quality at all orientations. Milling forces, cutting energy, and temperature increased with fiber orientation, peaking at 90°, while surface roughness and damage showed similar trends. The LAM-UAM process reduced milling forces by 54.6%, energy by 55.7%, and temperature by 26.1% compared to CM. It also improved surface quality, with the best results at 0° orientation, with 45° and 135° orientations showing intermediate performance. The LAM-UAM method suppressed machining-induced damage, particularly at 90° fiber orientation, where damage was most pronounced. These findings provide insight into CF/PEEK machining under various orientations and offer practical guidance for efficient, low-damage processing.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2026-01-26
DOI
https://doi.org/10.1177/09544062251414917
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Research on milling performance of CF/PEEK composites assisted by laser-ultrasonic vibration

Kang Xiao, Minghai Wang, Qijia Wang, Xuezhi Wang et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Advanced machining processes and optimization
article

Research on milling performance of CF/PEEK composites assisted by laser-ultrasonic vibration

Kang Xiao, Minghai Wang, Qijia Wang, Xuezhi Wang, Xianjun Kong
article en

Abstract

Carbon fiber/polyether ether ketone (CF/PEEK) composites, known for high thermal stability (Tg = 143°C) and a wide processing window (330–380°C), are promising for aerospace and high-performance uses. Their inherent anisotropy and inhomogeneity complicate machining. A laser–ultrasound-assisted milling (LAM-UAM) method, combining laser ablation with ultrasonic pulses, is introduced to improve CF/PEEK machinability. Milling tests were performed at four fiber orientations (0°, 45°, 90°, 135°) using four strategies: conventional (CM), laser-assisted (LAM), ultrasound-assisted (UAM), and LAM-UAM. The LAM-UAM method significantly improves machining quality at all orientations. Milling forces, cutting energy, and temperature increased with fiber orientation, peaking at 90°, while surface roughness and damage showed similar trends. The LAM-UAM process reduced milling forces by 54.6%, energy by 55.7%, and temperature by 26.1% compared to CM. It also improved surface quality, with the best results at 0° orientation, with 45° and 135° orientations showing intermediate performance. The LAM-UAM method suppressed machining-induced damage, particularly at 90° fiber orientation, where damage was most pronounced. These findings provide insight into CF/PEEK machining under various orientations and offer practical guidance for efficient, low-damage processing.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 240(8)
Shenyang Aerospace University (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced machining processes and optimization
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Research on milling performance of CF/PEEK composites assisted by laser-ultrasonic vibration — Kang Xiao, Minghai Wang, et al. · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2026) | TGRS Research Map | TGRS