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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(5): 453 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.319

Stitching and Memory-Optimized Processing of Three-Dimensional Riblet Surface Datasets for Oil Channel Tests

Renke Scheuer, Eduard Reithmeier, and Niklas B. Windeler

Abstract—Even modern passenger planes require several tons of kerosene per hour. Therefore, it is a matter of top priority to realize savings for both environmental and economic reasons. One of the approaches towards the reduction of friction losses on airplanes is the structuring of airplane surfaces with riblets. In order to determine the quality of riblet structures, it is necessary to carry out tests of oil passage on upscaled models of the real structures. This paper presents methods which process measurement data from real airplane surfaces and produce memory-optimized CAD data. For this purpose, measurement data of a confocal microscope are used.

Index Terms—Confocal microscopy, data reduction, elimination of measurement artifacts, mesh generation, riblets.

R. Scheuer is with the Institute of Measurement and Automatic Control, Leibniz Universitaet Hannover, Nienburger Straße 17 30167 Hanover, Germany (e-mail: renke.scheuer@imr.uni-hannover.de).
E. Reithmeier is the Director of the Institute of Measurement and Automatic Control, Leibniz Universitaet Hannover, Nienburger Straße 17 30167 Hanover, Germany (e-mail: sekretariat@imr.uni-hannover.de).
N. B. Windeler is a Postgraduate Student at the Leibniz Universitaet Hannover (e-mail: sekretariat@imr.uni-hannover.de).

[PDF]

Cite:Renke Scheuer, Eduard Reithmeier, and Niklas B. Windeler, "Stitching and Memory-Optimized Processing of Three-Dimensional Riblet Surface Datasets for Oil Channel Tests," International Journal of Modeling and Optimization vol. 3, no. 5, pp. 453-457, 2013.

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