The Automated Selective Acquisition System
Authors: Atisthan Wuttimanop, Suchada Rianmora
Abstract:
To support design process for launching the product on time, reverse engineering (RE) process has been introduced for quickly generating 3D CAD model from its physical object. The accuracy of the 3D CAD model depends upon the data acquisition technique selected, contact or non-contact methods. In order to reduce times used for acquiring surface and eliminating noises, the automated selective acquisition system has been developed and presented in this research as the alternative channel for non-contact acquisition technique where the data is selectively and locally scanned contour by contour without performing data reduction process. The results present as the organized contour points which are directly used to generate 3D virtual model. The comparison between the proposed technique and another non-contact scanning technique has been presented and discussed.
Keywords: Automated selective acquisition system, Non-contact acquisition, Reverse engineering, 3D scanners.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1336094
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[1] M. Sokovic and J. Kopac, "RE (Reverse Engineering) as necessary phase by rapid product development”. Journal of material processing Technology, vol. 175, 2005, pp. 398-403.
[2] S. Rianmora, P. Koomsap and V. Hai, "Selective data acquisition for direct integration of reverse engineering and rapid prototyping”, Virtual and physical prototyping, vol. 4, 2009, pp. 227-239.
[3] D. Barberm and J. Mills, "3D laser scanning for heritage”, 2nd edition, English heritage, 2011, pp. 1-39.
[4] Geomagic, "3D scanning opens up a world of possibilities, Imagine being able to capture anything in the physical world, and have a digital model of it in minutes”, Online http://www.rapidform.com/3d-scanners.
[5] E.M. Payne, "Imaging techniques in conservation”, Journal of conservation and museum studies, vol.10, no. 2, 2012, pp. 17-29.
[6] P. Bryan, "User requirements for metric survey”, In MacDonald, L (ed.), Digital heritage, Applying digital imaging to cultural heritage, Oxford: Butterworth-Heinemann, 2006, pp. 149-173.
[7] S. Skupsky, R.W. Short, T. Kessler and R.S. Craxton, "Improved laser‐beam uniformity using the angular dispersion of frequency‐modulated light”, Journal of applied physics, IEEE, vol. 66, issue: 8, 1989, pp. 3456-3462.
[8] S. Rianmora and P. Koomsap, "Structured light system-based selective data acquisition”, Robotics and computer-integrated manufacturing, vol. 27, 2011, pp. 870-880.
[9] Metrology resource Co., Lake Orion, MI, USA, "Metro sensor products”, online http://www.metrologyresource.com/laser-sensor-MRL3.php.
[10] C. Frohlich and M. Mettenleiter, "Terrestrial laser scanning new perspectives in surveying”, International archive of photogrammetry, Remote sensing and spatial information sciences, vol. 36, no. 8/w2, 2004, pp. 7-13.
[11] L. Koessler, T. Cecchin, E. Ternisien, and L. Maillard, "3D handheld laser scanner based approach for automatic identification and localization of EEG sensors”, 32nd annual international conferences of the IEEE EMBS Buenos Aires, Argentina, 2010, pp. 3707-3710.