Abstract
This chapter presents a new architecture for intelligent CNC machining in the context of a service-oriented manufacturing system involving material processing and robotized assembly operations. The proposed approach is a knowledge-based adaptive machining concept (KBAMC), which encompasses four modules: management, observation, prediction and strategy.
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References
Bagci, E.: Monitoring and analysis of MRR-based feedrate optimization approach and effects of cutting conditions using acoustic sound pressure level in free-form surface milling. Scientific Research and Essays 6(2), 256–277 (2011)
Borangiu, T.: A service-orientated architecture for holonic manufacturing control, Report University Politehnica of Bucharest (2009)
Borangiu, T., Dogar, A., Dumitrache, A.: Integrating a short range laser probe with a 6-dof vertical robot arm and a rotary table. In: RAAD 2008 - The 17th Int’l Workshop on Robotics in Alpe-Adria-Danube Region, Ancona, Italy (2008)
Borangiu, T., Dogar, A., Dumitrache, A.: Calibration of wrist-mounted profile laser scanning probe using a tool transformation approach. In: RAAD 2009 – The 18th International Workshop on Robotics in Alpe-Adria-Danube Region, Brasov, Romania (2009)
Borangiu, T., Gilbert, P., Ivanescu, N.A., Rosu, A.: An implementing framework for holonic manufacturing control with multiple robot-vision stations. Eng. Appl. Artif. Intell. 22, 505–521 (2009)
Cho, D.W., Lee, S.J., Chu, C.N.: The state of machining process monitoring research in Korea. International Journal of Machine Tools and Manufacture 39(11), 1697–1715 (1999)
Dumitrache, A., Borangiu, T., Dogar, A.: Automatic generation of milling tool-paths with tool engagement control for complex part geometry. In: The 10th IFAC Workshop on Intelligent Manufacturing Systems - IMS 2010, Lisbon, Portugal (July 2010)
Gao, J., Yao, Y., Zhu, V.C.Y., Sun, L., Lin, L.: Service-oriented manufacturing: a new product pattern and manufacturing paradigm. Journal of Intelligent Manufacturing (2009)
Gasparraj, E.: Constant material removal: The key to hard milling. Modern Machine Shop (2005)
Gunasekaran, A., Yusuf, Y.Y.: Agile manufacturing: a taxonomy of strategic and technological imperatives. International Journal of Production Research 40(6), 1357–1385 (2002)
Leitao, P.: Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence 22(7), 979–991 (2009)
Mehrabi, M.G., Ulsoy, A.G., Koren, Y.: Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent Manufacturing 11(4), 403–419 (2000)
Pateloup, S., Chanal, H., Duc, E.: Comparison of pkm and skm performances for aeronautics part machining. In: 8th International Conference in High Speed Machining HSM 2010, Metz (2010)
Rubio, E.M., Teti, R.: Process monitoring systems for machining using audible sound energy sensors. Future Manufacturing Systems, InTech (2010) ISBN: 978-953-307-128-2
Sprut Technology: Sprutcam v7 documentation (2009)
Tnshoff, H.K., Li, X., Lapp, C.: A fast Haar transform and concurrent learning-based monitoring approach and its application to tool breakage detection. IEEE Trans. Mechatronics, MT01-068R (2007)
Wang, H., Jang, P., Stori, J.A.: A metric-based approach to 2D tool path optimization for high speed machining. Journal of Manufacturing Science and Engineering (JMSE) 127(1), 33–48 (2005)
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Dumitrache, A., Borangiu, T., Pateloup, S., Gogu, G. (2012). Knowledge-Based Adaptive Machining Concept for Service Oriented Architectures. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing Control. Studies in Computational Intelligence, vol 402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27449-7_25
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DOI: https://doi.org/10.1007/978-3-642-27449-7_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27448-0
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