Abstract
A computer vision system permits one to provide feedback, which increases the precision of the manufacturing process. It could be used in low-cost micromachine tools and micromanipulators for microdevice production. A method of sequential generations was proposed to create such microequipment [1]. According to this method, the microequipment of each new generation is smaller than the equipment of the previous generations. This approach would allow us to use low-cost components for each microequipment generation and to create microfactories capable of producing low-cost microdevices [2]. To preserve high precision of the microequipment, it is necessary to use adaptive algorithms of micropiece production. Algorithms based on contact sensors were proved and showed good results [2]. The neural-network-based vision system could provide much more extensive possibilities to improve the manufacturing process.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Kussul E., Rachkovskij D., Baidyk T. et al., Micromechanical engineering: a basis of the low cost manufacturing of mechanical microdevices using microequipment. Journal of Micromechanics and Microengineering, 6, 1996, pp. 410–425.
Kussul E., Baidyk T., Ruiz-Huerta L., Caballero A., Velasco G., Kasatkina L. “Development of Micromachine Tool Prototypes for Microfactories”, Journal of Micromechanics and Microengineering, 12, 2002, pp. 795–812.
Some Micro Machine Activities in Japan. Report ATIP96.021, 1996.
Okazaki Yuichi, Kitahara Tokio. Micro-Lathe Equipped with Closed-Loop Numerical Control. Proceedings of the 2nd International Workshop on Microfactories, Switzerland, Oct.9–10, 2000, pp. 87–90.
Naotake Ooyama, Shigeru Kokaji, Makoto Tanaka and others. Desktop Machining Microfactory. Proceedings of the 2nd International Workshop on Microfactories, Switzerland, Oct.9–10, 2000, pp. 14–17.
Bleuler H., Clavel R., Breguet J-M., Langen H., Pernette E. Issues in Precision Motion Control and Microhandling. Proceedings of the 2000 IEEE International Conference On Robotics & Automation, San Francisco, pp. 959–964.
Jonathan Wu Q.M., M.F. Ricky Lee, Clarence W. de Silva. Intelligent 3-D Sensing in Automated Manufacturing Processes. In: Proceedings IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Italy, 2001, pp. 366–370.
Lee, S.J., K. Kim, D.-H. Kim, J.-O. Park, G.T. Park. Recognizing and Tracking of 3-D-Shaped Micro Parts Using Multiple Visions for Micromanipulation. In: IEEE International Symposium on Micromechatronics and Human Science, 2001, pp. 203–210.
Kim, J.Y., H.S. Cho. A Vision Based Error-Corrective Algorithm for Flexible Parts Assembly. In: Proceedings of the IEEE International Symposium on Assembly and Task Planning, Portugal, 1999, pp. 205–210.
Grigorescu C., Petkov N. Distance Sets for Shape Filters and Shape Recognition. IEEE Transactions on Image Processing, Vol. 12, No. 10, October 2003, pp. 1274–1286.
Kussul E.M., Baidyk T.N. Permutative coding technique for handwritten digit recognition. Proceedings of the 2003 IEEE International Joint Conference on Neural Networks (IJCNN'2003), Portland, Oregon, USA, July 20–24 2003, Vol. 3, pp. 2163–2168.
Kussul E., Baidyk T., Kussul M., 2004, Neural Network System for Face Recognition. 2004 IEEE International Symposium on Circuits and Systems, ISCAS 2004, May 23–26, Vancouver, Canada, Vol. V, pp. V-768–V-771.
Baidyk T., Kussul E., 2004, Neural Network Based Vision System for Micro Workpieces Manufacturing. WSEAS Transactions on Systems, Issue 2, Vol. 3, April 2004, pp.483–488.
Martín A., Baidyk T., Neural classifier for micro screw shape recognition in micromechanics, CLEI 2006, IFIP WCC AI2006, Santiago de Chile, Chile, August, 21–24 2006, p. 10.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kussul, E., Baidyk, T., Wunsch, D.C. (2010). Applications of Neural Networks in Micromechanics. In: Neural Networks and Micromechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02535-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-02535-8_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02534-1
Online ISBN: 978-3-642-02535-8
eBook Packages: Computer ScienceComputer Science (R0)