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A novel flexible micro assembly system: implementation and performance analysis

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EN
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EN
Demands for micro/nano products and assembly systems have been raised significantly to meet the ever complex technical needs for modern society. In this paper, we share the experiences and results of the study on the flexible micro assembly workcell focused primarily on a novel system implementation and system performance analysis. For flexible and autonomous assembly operations, we investigated a novel model based 3D depth measurement technology for faster and cost effective means to promote autonomous micro assembly systems in various industries. Micro parts, by its nature, are known of their shapes in advance for the majority of micro applications. We take advantage of the previously known shape of micro parts and hence apply a model based approach for a faster and cost effective localization and 3D depth measure of randomly loaded micro-parts on the workcell. The proposed 3D depth measuring method is based on the pattern recognition and multi-focus technique enabling it to extract only information useful for micro parts assembly for faster recognition. For demonstration purpose, silicon based oxide gears are fabricated by bulk micromachining and are used to study performance indices and to prove the usefulness of the proposed micro 3D depth measurement technology.
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  • Texas A&M University – Corpus Christi, Science and Technology Suite 222, 6300 Ocean Drive, Unit 5797, Corpus Christi, Texas 78412. Tel. 361-825-5849, Fax 361-825-3056, Dugan.Um@tamucc.edu
Bibliografia
  • [1] Woods D., “The fabrication of silicon microsystems”, Engineering Science and Education Journal , vol. 9 (129), 2000, pp. 129-136.
  • [2] Fatikow S., Seyfried J., Fahlbusch S., Buerkle A., Schmoeckel F., “A Flexible Microrobot-Based Microassembly Station”, Journal of Intelligent and Robotic Systems, vol. 27, no. 1-2, Jan. 2000, pp. 135-169.
  • [3] Aoyama H., Fuchiwaki O., “Flexible Micro-Processing by Multiple Micro Robots in SEM”, In: Proc. of IEEE International Conference on Robotics & Automation , Seoul, Korea, May 2001, pp.3429-3434.
  • [4] McGregor M. T., Mahlke H. A., Dozier S.M., Asiabanpour B., Um D., “Producing micro scale silicon dioxide gears by bulk micro machining process” , Transactions of the NAMRI/SME, vol. 37, 2009.
  • [5] Madou M.J., Fundamentals of microfabrication: the science of miniaturization. 2. CRC Press , 2002.
  • [6] Kim T., Kim T., Lee S., Gweon D., “Optimum conditions for high-quality 3D reconstruction in confocal scanning microscopy”. In: Proc. SPIE , vol. 6090, Feb. 2006.
  • [7] Zlotnik A., Ben-Yaish S., Zalevsky Z., “Extending the depth of focus for enhanced three-dimensional imaging and profilometry: an overview”, Applied Optics , vol. 48, no. 34, Oct. 2009, pp. 105-112.
  • [8] Prewitt J.M., Object enhancement and extraction in Picture Processing and Psychopictoris , Edited by: Lipkin B.S., Rosenfeld A. New York: New York: Academic, 1970, pp. 75-149.
  • [9] Nayar S.K., Nakagawa Y., “Shape from focus”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 8, Aug. 1994, pp. 824-831.
  • [10] Zhao H., Lia Q., Fenga H., “Multi-focus color image fusion in the HSI space using the sum-modifiedlaplacian and a coarse edge map”, Image and Vision Computing, vol. 26, no. 9, Sep. 2008, pp. 1285-1295.
  • [11] Um D., Asiabanpour B., Jimenez J., “A Flexible Micro Manufacturing System for Micro Parts Assembly via Micro Visual Sensing and EAP based Grasping”, Journal of Advanced Manufacturing System , vol. 8, no. 2, Dec. 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ5-0027-0040
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