Product Identification by Machined Micro Patterns
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Published:2013-11-05
Issue:6
Volume:7
Page:735-741
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ISSN:1883-8022
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Container-title:International Journal of Automation Technology
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language:en
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Short-container-title:IJAT
Author:
Denkena Berend, ,Ostermann Jörn,Köhler Jens,Mörke Tobias,Spitschan Benjamin,
Abstract
Fast and secure component identification is one key requirement for automation technologies in manufacturing processes marked by high product diversity. In addition, critical or safety components have to be identified during maintenance even if exposed to harsh conditions during the time of operation. Furthermore, product specifications or information on its manufacturing process, commonly stored separately in databases or as a hardcopy, must be available at any point of the lifecycle. An advanced machining technology is presented, enabling to machine micro patterns carrying inherent data into the components surface. A piezo-electrically driven milling tool is shown, allowing for storage on face-milled components while employing productive machining parameters. The data can be retrieved fast and reliably by an optical readout method. Image processing algorithms allowing for the reconstruction of the stored information using a single monochrome camera image of the surface are presented.
Publisher
Fuji Technology Press Ltd.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference18 articles.
1. B. Denkena, H. Henning, and L.-E. Lorenzen, “Genetics and intelligence: new approaches in production engineering,” Prod. Eng. Res. Devl., Vol.4, Issue 1, pp. 65-73, 2010. 2. A. Belski, E. Gastan, N. Vahed, C. Klose, M. Rodman, F. Lange, M. Wurz, C. Bormann, L. Rissing, and B.-A. Behrens, “Process principle for the production of sintered dynamic componentinherent data storage,” Prod. Eng. Res. Devl., Vol.5, Issue 3, pp. 233-240, 2011. 3. M. R. B. Andreeta, L. S. Cunha, L. F. Vales, L. C. Caraschi, and R. G. Jasinevicius, “Bidimensional codes recorded on an oxide glass surface using a continiuous wave C02laser,” J. of Micromechanics and Microengineering, Vol.21, No.2, 2011. 4. X. Zhu, S. K. Mukhopadhyay, and H. Kurata, “A review of RFID technology and its managerial applications in different industries,” J. of Eng. and Tech. Management, Vol.29, Issue 1, pp. 152-167, 2012. 5. C. Pille, “In-process-embedding of piezo sensors and RFID transponders into cast parts for autonomous manufacturing logistics,” Smart systems integration 2010, 4th European conf. and on Integration Issues of Miniaturized Systems, Italy, pp. 1-10, 2010.
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