Resolving Problems of Finding Surface Boundaries during Laser Machining

Article Preview

Abstract:

During of aluminum alloy materials, it is possible to find three surface types which can be distinguish as primary, secondary and tertiary sections. In practice this is a big problem in case of finding the basic parameters of roughness and waviness as described by ISO 4288. According to our research, it is possible to use optical microscopy in the first step and subsequently to scan the surface in 3D in order to distinguish the type of. Another problem is how to determine the boundaries between the individual structures. The article describes methods to distinguish the boundaries in a more precise way by the cumulative functions, leading to more accurate determination of the surface quality parameters.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

66-71

Citation:

Online since:

August 2016

Export:

Price:

* - Corresponding Author

[1] K. Vasilko, J. Kmec, Delenie materiálu, DATAPRESS Prešov, ISBN 80-7099-903-9.

Google Scholar

[2] D. Sheskin, Handbook of parametric and nonparametric statistical procedures. 5th ed. Boca Raton: Chapman & Hall/CRC, 2011, 1886 s. ISBN 978-1-4398-5801-1.

DOI: 10.1002/sim.1895

Google Scholar

[3] I. Hendl, An overview of statistical metods for data processing, Portal, Praha 2008, ISBN 80-7178-820-1.

Google Scholar

[4] V. Pata, L. Sýkorová, J. Knedlová, M. Malachová, Application of fractal geometry for laser engraving of artificial leather surface, Novel trends in production devices and systems, 2014, (440), 375 - 380. ISSN -13: 978-3-03735-944-5.

DOI: 10.4028/www.scientific.net/amm.474.375

Google Scholar

[5] V. Pata, L. Sýkorová, J. Knedlová, M. Malachová, M. Řezniček, Use of relocation device at scanning of polymeric material surface quality, Novel trends in production devices and systems, 2014, (693), 243 - 246. ISSN -13: 978-3-03835-313-3.

DOI: 10.4028/www.scientific.net/amm.693.243

Google Scholar

[6] H. Klank, J. Kutter, CO2 laser micromachining and back-end processing for rapid production of PMMA-based microfluidic systems, Microelectronic centre, Denmark, (2002).

DOI: 10.1039/b206409j

Google Scholar

[7] C. Felho, J. Kundrak, Characterization of topography of cut surface based on the theoretical roughness indexes, Key Eng. Mater, 496 (2012) 194-199.

DOI: 10.4028/www.scientific.net/kem.496.194

Google Scholar

[8] B. Miko, J. Beno, P. Izol, I. Mankova, Surface quality of sculpture surface in case of 3D milling, In: 8th. Int. Tool Conf., (2011).

Google Scholar