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Evaluation of the effect of ND:YVO4 laser parameters on internal micro-channel fabrication in polycarbonate

Karazi, Shadi and Brabazon, Dermot (2011) Evaluation of the effect of ND:YVO4 laser parameters on internal micro-channel fabrication in polycarbonate. In: International Conference on Neural Computation Theory and Applications NCTA 2011, 24-26 Oct 2011, Paris, France.

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Abstract

This paper presents the development of Artificial Neural Network (ANN) models for the prediction of laser machined internal micro-channels’ dimensions and production costs. In this work, a pulsed Nd:YVO4 laser was used for machining micro-channels in polycarbonate material. Six ANN multi-layered, feed-forward, back-propagation models are presented which were developed on three different training data sets. The analysed data was obtained from a 33 factorial design of experiments (DoE). The controlled parameters were laser power, P; pulse repetition frequency, PRF; and sample translation speed; U. Measured responses were the micro-channel width and the micro-machining operating cost per metre of produced microchannel. The responses were sufficiently predicted within the set micro-machining parameters limits. Three carefully selected statistical criteria were used for comparing the performance of the ANN predictive models. The comparison showed that model which had the largest amount of training data provided the highest degree of predictability. However, in cases where only a limited amount of ANN training data was available, then training data taken from a Face Centred Cubic (FCC) model design provided the highest level of predictability compared with the other examined training data sets

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:pulsed Nd:YVO4 laser; ANN; factorial DoE; predictive models; channel dimensions; Polycarbonate
Subjects:Engineering > Materials
Engineering > Mechanical engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16675
Deposited On:09 Nov 2011 15:59 by Fran Callaghan. Last Modified 09 Nov 2011 15:59

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