Research of Artificial Neural Networks in the Al₂O₃ Ceramic Laser Milling Application

Abstract:

Based on the artificial neural network (ANN), a model is established to describe the relation of the laser milling quality of the Al₂O₃ ceramics with the ceramics parameters. The milling quality of Al₂O₃ ceramics are predicted with the model in which the input parameters consist of laser power, scanning speed and defocus amount and the output parameters include the milling depth and width. The results show that the mean error is small, and the model has good verifying precision and excellent ability of predicting. The laser process parameters can be chosen easily and accurately to improve the processing quality of laser milling.

• Periodical: Applied Mechanics and Materials (Volume 528)
• Pages: 101-106
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.528.101
• Online since: February 2014
• Authors: Zhao Mei Xu*, Zong Hai Hong, Gang Yang, Qin Gan Wang
• Keywords: ANN Network, Ceramic, Laser Milling, Laser Technique

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