Data-driven ultrashort pulse laser processing using deep neural network for shape prediction and in-process monitoring

Dai Yoshitomi; Hideyuki Takada; Takemichi Miyoshi; Daisuke Nagai; Godai Miyaji; Aiko Narazaki

doi:10.1117/12.3005619

13 March 2024 Data-driven ultrashort pulse laser processing using deep neural network for shape prediction and in-process monitoring

Dai Yoshitomi, Hideyuki Takada, Takemichi Miyoshi, Daisuke Nagai, Godai Miyaji, Aiko Narazaki

Author Affiliations +

Proceedings Volume PC12875, Frontiers in Ultrafast Optics: Biomedical, Scientific, and Industrial Applications XXIV; PC128750D (2024) https://doi.org/10.1117/12.3005619
Event: SPIE LASE, 2024, San Francisco, California, United States

Abstract

We report on recent research on the development of data-driven ultrashort pulse laser processing to achieve higher productivity and quality. We are developing in-process monitoring, artificial intelligence (AI) optimization, and fast active control of the laser based on them. These key technologies are introduced for micro-drilling of metals and transparent materials and laser-induced periodic surface structure (LIPSS) formation on a silica glass. We demonstrate a fast pulse-to-pulse modulation of the fluences to control the ablation efficiency. A deep neural network was utilized to predict the 3-dimensional shapes of the ablation craters depending on the laser parameters (fluence and pulse duration). The scheme was extended to 10 sequential modulations of fluences. An in-process monitoring of the crack formation on glasses was implemented by optical transmission imaging with deep neural network. The optical reflection/transmission technique was also employed to probe the quality of the LIPSS formation on a silica glass.

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Citation Download Citation

Dai Yoshitomi, Hideyuki Takada, Takemichi Miyoshi, Daisuke Nagai, Godai Miyaji, and Aiko Narazaki "Data-driven ultrashort pulse laser processing using deep neural network for shape prediction and in-process monitoring", Proc. SPIE PC12875, Frontiers in Ultrafast Optics: Biomedical, Scientific, and Industrial Applications XXIV, PC128750D (13 March 2024); https://doi.org/10.1117/12.3005619

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KEYWORDS

Laser processing

Neural networks

Ultrafast phenomena

Modulation

Artificial intelligence

Glasses

Laser ablation

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