Developing a Laser Drilling Simulator for Glass Using Deep Learning

Kohei Shimahara; Shuntaro Tani; Yohei Kobayashi

Presentation information

Oral presentation

3 Optics and Photonics » 3.7 Laser processing

[9p-Z18-1~21] 3.7 Laser processing

Wed. Sep 9, 2020 1:00 PM - 7:00 PM Z18

Mitsuhiro Terakawa(Keio Univ.), Satoshi Hasegawa(Utsunomiya Univ.), Kotaro Obata(RIKEN), Seisuke Nakashima(Shizuoka Univ.)

2:15 PM - 2:30 PM

△ [9p-Z18-6] Developing a Laser Drilling Simulator for Glass Using Deep Learning

〇(D)Kohei Shimahara¹, Shuntaro Tani¹, Yohei Kobayashi¹ (1.ISSP, Univ. Tokyo)

Keywords:deep learning, glass, simulator

Our goal is to develop a laser micromachining simulator for glass that can predict the outcome of processes on a practical scale with low computational cost. In this presentation, I will report on our deep learning based simulator that can predict the shape of the glass microchannel every 10 irradiated pulses under a given initial state and pulse energy.