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Title: | ANNs Prediction of Input Parameters Dutiny PMMA Laser Micro-machining |
Author: | Sýkorová, Libuše; Sámek, David |
Document type: | Book chapter (English) |
ISBN: | 978-83-7242-640-6 |
Abstract: | This paper presents usage of artificial neural networks for modelling of laser micro-machining process. Results of the laser micro-machining – surface quality of product and his utility in specific application – depend on the laser-machine parameters and the polymer material type. Commercial CO2 laser Mercury L-30 by LaserPro, USA was used for cutting specimens. This laser system has two parameters - power and feed. The article also shows optimization of the laser micro-machining using artificial neural network. In order to interpret complicated dependencies between technological characteristics of laser micro-machining and output parameters software Matlab 6.5 with Neural Network Toolbox was used. The experimental results were evaluated and depicted into the graphs. |
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