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Machining Parameter Optimal Selection for Blades of Aviation Engine Based on CBR and Database

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Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 35))

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Abstract

Blades of aviation engine are usually composed of complex three dimensional twisted surfaces that request high geometrical precision. Their machining is very difficult. Hence, how to reuse successful machining technics becomes an important and effective measure to improve blade machining quality. Machining parameter optimization for blades of aviation engine based on CBR and database is discussed in the paper. The system architecture and workflow are presented. Machining parameter database based on CBR consists of a case library and a machining database. Both of them can not only run independently, but also be integrated through application interface. Case representation includes two aspects, namely problem and objective description and solution scheme. Similarity ratio calculation is divided into local similarity ratio and integral similarity ratio. Through system development, it is proven to be feasible that machining parameter optimal selection is realized based on CBR and database.

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References

  1. Zhou, W., Tao, H., Gao, X.B.: Application research on intelligent optimization database of cutting parameters. Aeronautical Manufacturing Technology (18), 78–81 (2008)

    Google Scholar 

  2. Chen, P.J.: Study and realization of general-cutting database. Machine Building & Automation 36(3), 94–95, 98 (2007)

    Google Scholar 

  3. Jiang, Z.: Research state and progress prospect of metal cutting database. Mechanical Engineer (5), 104–106 (2006)

    Google Scholar 

  4. Bai, Y., Cao, Y., Yang, X.F.: Cutting parameter database system of aeroengine blade based on case-based reasoning. Machinery Design & Manufacture (11), 195–197 (2008)

    Google Scholar 

  5. Zheng, Y.Q., Lv, S.L.: Opening machining database system research on Case-Based Reasoning. Manufacturing Automation 29(11), 96–99 (2007)

    Google Scholar 

  6. Xiang, K.J., Liu, Z.Q., AI, X.: Development of high-speed cutting database system based on hybrid reasoning. Computer Integrated Manufacturing Systems 12(3), 420–427 (2006)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Cao, Y., Bai, Y., Chen, H., Yang, L. (2009). Machining Parameter Optimal Selection for Blades of Aviation Engine Based on CBR and Database. In: Shi, Y., Wang, S., Peng, Y., Li, J., Zeng, Y. (eds) Cutting-Edge Research Topics on Multiple Criteria Decision Making. MCDM 2009. Communications in Computer and Information Science, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02298-2_55

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  • DOI: https://doi.org/10.1007/978-3-642-02298-2_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02297-5

  • Online ISBN: 978-3-642-02298-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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