Product Identification by Machined Micro Patterns
Berend Denkena*, Jörn Ostermann**, Jens Köhler*,
Tobias Mörke*, and Benjamin Spitschan**
*Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover, An der Universität 2, 30823 Garbsen, Germany
**Institut für Informationsverarbeitung, Leibniz Universität Hannover, Appelstraße 9A, 30167 Hannover, Germany
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.
-  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.
-  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.
-  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 C02 laser,” J. of Micromechanics and Microengineering, Vol.21, No.2, 2011.
-  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.
-  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.
-  B.-A. Behrens, E. Gastan, N. Vahed, and F. Lange, “Numerical analysis of the process chain for the production of PM components with integrated information storage,” Prod. Eng. Res. Devel., Vol.4, Issue 5, pp. 477-482, 2010.
-  Y. Kim, B. Lee, S. Yang, I. Byun, I. Jeong, and S. M. Cho, “Use of cooper ink for fabricating conductive electrodes and RFID antenna tags by screen printing,” Current Applied Physics, Vol.12, Issue 2, pp. 473-478, 2012.
-  M. Weck and H. A. Özmeral, “A fast-tool-servo system based on electrodynamic and piezoelectric actuators,” Prod. Eng. Res. Devl., Vol.3, Issue 2, pp. 57-60, 1996.
-  W.-H. Zhu, M. B. Jun, and Y. Altintas, “A fast tool servo design for precision turning of shafts on conventional CNC lathes,” Int. J. of Machine Tools and Manufacture, Vol.41, Issue 7, pp. 953-965, 2001.
-  Y. Altintas and A. Woronko, “A piezo tool actuator for precision turning of hardened shafts,” CIRP Annals – Manufacturing Technology, Vol. 51, No.1, pp. 303-306, 2002.
-  X. Lu and D.-L. Trumper, “Ultra fast tool servos for diamond turning,” CIRP Annals – Manufacturing Technology, Vol.54, No.1, pp. 383-388, 2005.
-  A. A. Bruzzone, H. L. Costa, P.M. Lonardo, and D. A. Lucca, “Advances in engineered surfaces forfunctional performance,” CIRP Annals – Manufacturing Technology, Vol.57, Issue 2, pp. 750-769, 2008.
-  H.-S. Kim, K.-I. Lee, K.-M. Lee, and Y.-B. Bang, “Fabrication of free-form surfaces using a long-stroke fast tool servo and corrective figuring with on-machine measurement,” Int. J. of Machine Tools and Manufacture, Vol.49, Issues 12-13, pp. 991-997, 2009.
-  C. Will, “Adaptronische Spindeleinheit zur Abdrängungs- und Schwingungskompensation,” Ph.D. Thesis, Leibniz Universität Hannover, 2008.
-  R. Neugebauer, W.-G. Drossel, A. Bucht, B. Kranz, and K. Pagel, “Control design and experimental validation of an adaptive spindle support for enhanced cutting processes,” CIRP Annals – Manufacturing Technology, Vol.59, pp. 373-376, 2010.
-  R. Dragon, C. Becker, B. Rosenhahn, and J. Ostermann, “Reading from a scratch – a vision-system for reading data on microstructured surfaces,” 31st DAGM symp., Jena, Germany, Vol.5748, pp. 402-411, 2009.
-  B. Denkena, J. Köhler, T. Mörke, and O. Gümmer, “High-Performance Cutting of Micro Patterns,” 5th CIRP Conf. on High Performance Cutting, Proc. CIRP 1, S. 144-149, 2012.
-  R. Dragon, T. Mörke, B. Rosenhahn, and J. Ostermann, “Fingerprints for machines – optical identification of grinding imprints,” 33rd DAGM symp., Frankfurt, Germany, Vol.6835, pp. 276-285, 2011.
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