Prediction of the Laser Absorption Threshold Using Deep MLP-CNN Model in Laser Cleaning

Konika Rani

15:30 〜 15:45

[SLPC8-03] Prediction of the Laser Absorption Threshold Using Deep MLP-CNN Model in Laser Cleaning

*Konika Rani¹, Norimasa Ozaki¹, Kazumune Hashimoto¹, Ryosuke Kodama¹, Yoshihiro Miyake¹, Hirotaka Nakamura¹, Hideo Nagatomo¹ (1. Osaka University)

Our research presents a novel hybrid model (MLP-CNN) designed for predicting the laser absorption threshold of various materials in laser cleaning techniques. This pioneering research offers significant contributions for future predictive modeling in laser-material interactions, with potential applications extending to materials engineering and laser surface processing.

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講演情報

AI / CPS Laser Processing

[SLPC8-03] Prediction of the Laser Absorption Threshold Using Deep MLP-CNN Model in Laser Cleaning