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Research on Modeling and Application of Milling Process Information of Blisk Blade

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Intelligent Robotics and Applications (ICIRA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13455))

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Abstract

Blisks with integral structure are key component of the power system. Blade profile usually possesses high complexity and is hard to be milled. There are problems of vague data system and low interconnection in the process information management, which seriously impedes the improvement of the intelligence of milling process. This paper presents a modular information schema in the view of machining features, and the data integration model of blade milling process information is established. Furthermore, the composition of blade milling process database is proposed. Take the advantage of the CAM software specially for 5-axis milling blade and relational database technology, a prototype software system for data management of blade milling process, which is able to realize the function of automatic extraction, storage, and correlation interaction for relevant process data, is developed. It has been tested and verified that the data management model and prototype system are feasible and available by collecting and storing the process data of some simulated blade profiles. The work in this paper can be accepted as a technical support to the integrating information management, and the machining efficiency improvement of intelligent milling unit for the complex blade parts.

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References

  1. González-Barrio, H., Calleja-Ochoa, A., Lamikiz, A.: Manufacturing processes of integral blade rotors for turbomachinery, processes and new approaches. Appl. Sci. 10(9), 3063 (2020)

    Google Scholar 

  2. Nandakumar, S., Shah, J.J.: Recognition of multi axis milling features: Part I-topological and geometric characteristics. J. Comput. Inf. Sci. Eng. 4(3), 242–250 (2004)

    Google Scholar 

  3. Nandakumar, S., Shah, J.J.: Recognition of multi-axis milling features: Part II—algorithms & implementation. J. Comput. Inf. Sci. Eng. 5(1), 25–34 (2005)

    Google Scholar 

  4. Ma, H., Zhou, X., Liu, W., Li, J., Niu, Q., Kong, C.: A feature-based approach towards integration and automation of CAD/CAPP/CAM for EDM electrodes. Int. J. Adv. Manuf. Technol. 98(9–12), 2943–2965 (2018). https://doi.org/10.1007/s00170-018-2447-2

    Article  Google Scholar 

  5. Huang, R., Zhang, S., Bai, X.: Multi-level structuralized model-based definition model based on machining features for manufacturing reuse of mechanical parts. Int. J. Adv. Manuf. Technol. 75, 1035–1048 (2014)

    Google Scholar 

  6. Deja, M., Siemiatkowski, M.S.: Machining process sequencing and machine assignment in generative feature-based CAPP for mill-turn parts. J. Manuf. Syst. 48, 49–62 (2018)

    Article  Google Scholar 

  7. Liang, Y., Zhang, D., Ren, J., Chen, Z.C., Xu, Y.: Accessible regions of tool orientations in multi-axis milling of blisks with a ball-end mill. Int. J. Adv. Manuf. Technol. 85(5–8), 1887–1900 (2016). https://doi.org/10.1007/s00170-016-8356-3

    Article  Google Scholar 

  8. Brecher, C., Lohse, W.: Evaluation of toolpath quality: user-assisted CAM for complex milling processes. CIRP J. Manuf. Sci. Technol. 6(4), 233–245 (2013)

    Article  Google Scholar 

  9. Zhang, N., Shi, Y., Yang, C.: Multi-objective optimization of processing parameters for disc-mill cutter machining blisk-tunnel based on GRA-RBF-FA method. J. Northwest. Polytech. Univ. 37(1), 160–166 (2019)

    Article  Google Scholar 

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant No. 51875312).

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Authors and Affiliations

  1. Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China

    Shujie Liu, Tong Zhao & Hui Zhang

  2. Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipment and Control, Tsinghua University, Beijing, 100084, China

    Shujie Liu, Tong Zhao & Hui Zhang

Authors
  1. Shujie Liu
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  2. Tong Zhao
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  3. Hui Zhang
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Corresponding author

Correspondence to Shujie Liu .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Honghai Liu

  2. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  3. Shenyang Institute of Automation, Shenyang, Liaoning, China

    Lianqing Liu

  4. Harbin Institute of Technology, Harbin, China

    Li Jiang

  5. Shanghai Jiao Tong University, Shanghai, China

    Guoying Gu

  6. Shenzhen Institute of Advanced Technology, Shenzhen, China

    Xinyu Wu

  7. Harbin Institute of Technology, Shenzhen, China

    Weihong Ren

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Liu, S., Zhao, T., Zhang, H. (2022). Research on Modeling and Application of Milling Process Information of Blisk Blade. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13455. Springer, Cham. https://doi.org/10.1007/978-3-031-13844-7_29

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  • DOI: https://doi.org/10.1007/978-3-031-13844-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13843-0

  • Online ISBN: 978-3-031-13844-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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