Studies of femtosecond laser machining of sandwich-structured GFRP composites
Source abstract
Abstract
Glass fiber-reinforced plastic (GFRP) composites have been increasingly utilized in the aerospace industry owing to their distinctive properties such as high mechanical strength, low density, and design flexibility. However, conventional machining methods such as drilling, milling, and sawing are usually limited when machining these materials due to the caused severe tool wear, composite delamination, and thermal damage. Herein, a femtosecond laser machining method was explored to realize precision machining of sandwich-structured GFRP composites with significantly suppressed thermal damage, burr formation, and delamination. Comprehensive machining quality was evaluated on the basis of penetration depth, surface morphology, and machining efficiency through optimizing the main parameters of laser fluence, scanning speed, and laser scanning repetitions. Results showed that the smoothest cut surface with a clean edge and minimal heat-affected zone was obtained at a laser fluence of 9.21 J/cm2. Within the experimental range, the higher scanning speed resulted in smoother cut surfaces and reduced thermal defects. The study provides experimental evidence for optimizing femtosecond laser micromachining of GFRP composites and contributes to a deeper understanding of laser–composite interaction mechanisms.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Laser Material Processing Techniques · Advanced Surface Polishing Techniques · Welding Techniques and Residual Stresses
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
China Key Laboratory of High-efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Shandong University 1 , Jinan 250061,
State Key Laboratory of Advanced Equipment and Technology for Metal Forming, Shandong University 2 , Jinan 250061,
Beijing Institute of Space Mechanics and Electricity 3 , Beijing 100190,
Funding
National Natural Science Foundation of China · Basic Research Program of Jiangsu Province
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