Optimization of the Femtosecond Laser Machining Process for Single Crystal Diamond Using Response Surface Methodology

Femtosecond laser machining offers high precision and minimal thermal impact, making it a promising technique for processing hard and brittle materials like single-crystal diamonds (SCDs). In this study, the femtosecond laser machining process for SCD material was systematically optimized to improve both machining efficiency and quality. Initial single-factor experiments were conducted to explore the effects of key process parameters—laser power, scanning speed, and number of scans—on machining performance. Subsequently, response surface methodology (RSM)-based experiments designed using the Box–Behnken method were employed to comprehensively refine the process. A regression model was developed to analyze the data, and the interaction effects of the parameters were thoroughly evaluated. The validated model identified an optimal set of parameters, resulting in a significant improvement in machining performance. This research provides a comprehensive framework for optimizing femtosecond laser machining processes, offering valuable insights critical for the production of advanced lightweight components in industries such as aerospace, optical instruments, and high-performance electronics.

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Publication Details

Journal
Machines
Published
2024-09-03
DOI
https://doi.org/10.3390/machines12090614
Citations
2
Primary Topic
Laser Material Processing Techniques
Type
article
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0.75
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article

Optimization of the Femtosecond Laser Machining Process for Single Crystal Diamond Using Response Surface Methodology

Qi Zeng, Yuan Li, Chang Chen, Jiu Yin et al.
2 citations
Machines
Laser Material Processing Techniques
0.75
article

Optimization of the Femtosecond Laser Machining Process for Single Crystal Diamond Using Response Surface Methodology

Qi Zeng, Yuan Li, Chang Chen, Jiu Yin, Guangfu Zhang, Chuanbo Ming
article en
2 citations

Abstract

Femtosecond laser machining offers high precision and minimal thermal impact, making it a promising technique for processing hard and brittle materials like single-crystal diamonds (SCDs). In this study, the femtosecond laser machining process for SCD material was systematically optimized to improve both machining efficiency and quality. Initial single-factor experiments were conducted to explore the effects of key process parameters—laser power, scanning speed, and number of scans—on machining performance. Subsequently, response surface methodology (RSM)-based experiments designed using the Box–Behnken method were employed to comprehensively refine the process. A regression model was developed to analyze the data, and the interaction effects of the parameters were thoroughly evaluated. The validated model identified an optimal set of parameters, resulting in a significant improvement in machining performance. This research provides a comprehensive framework for optimizing femtosecond laser machining processes, offering valuable insights critical for the production of advanced lightweight components in industries such as aerospace, optical instruments, and high-performance electronics.

MachinesVol. 12(9)
Hunan University (CN), Hunan City University (CN)
Openalex Percentile: Top 33%
Laser Material Processing Techniques
0.75
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Optimization of the Femtosecond Laser Machining Process for Single Crystal Diamond Using Response Surface Methodology — Qi Zeng, Yuan Li, et al. · Machines (2024) | TGRS Research Map | TGRS