Karazi, Shadi ORCID: 0000-0002-8887-0873 and Brabazon, Dermot ORCID: 0000-0003-3214-6381 (2010) Analysis and prediction of dimensions and cost of laser micro-machining internal channel fabrication process. In: ICEM 14 – 14th International Conference on Experimental Mechanics, 4-9 July 2010, Poitiers, France. ISBN 2100-014X
Abstract
This paper presents the utilisation of Response Surface Methodology (RSM) as the prediction tool for the laser micro-machining process. Laser internal microchannels machined using pulsed Nd:YVO4 laser in polycarbonate were investigated. The experiments were carried out according to 33 factorial Design of Experiment (DoE). In this work the three input process set as control parameters were laser power, P; pulse repetition frequency, PRF; and sample translation speed, U. Measured responses were the channel width and the micro-machining operating cost per metre of produced microchannels. The responses were sufficiently predicted within the set micro-machining parameters limits. Two factorial interaction (2FI) and quadratic polynomial regression equations for both responses were constructed. It is proposed that the developed prediction equations can be used to find locally optimal micro-machining process parameters under experimental and operational conditions.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | Engineering > Mechanical engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering |
Published in: | EPJ Web of Conferences. 6(25002). EDP Sciences. ISBN 2100-014X |
Publisher: | EDP Sciences |
Official URL: | http://dx.doi.org/10.1051/epjconf/20100625002 |
Copyright Information: | © Owned by the authors, published by EDP Sciences, 2010 |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 15743 |
Deposited On: | 04 Oct 2010 12:18 by DORAS Administrator . Last Modified 20 Sep 2018 13:19 |
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