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Repair Decision Based on Sensitivity Analysis for Aero-Engine Assembly

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Abstract

Strict requirements for concentricity of the multistage high pressure rotor of an aero-engine are employed to guarantee performances such as vibration. Tedious and time-wasting trial assembly by adjusting the installation angles of stages is needed to meet the requirements due to the lack of effective analysis methods. Furthermore, there is no quick way to find out where the problem is and how to repair the parts when the installation-angle-adjusting method fails. This article focuses on a solution to optimize the installation angle of each stage and to make repair decisions in the assembly process. The run-out data are processed by least square method to get the spatial positions and attitudes of flanges and a deviation propagation analysis model is built by virtue of homogeneous coordinate transformation theory to predict the accumulative errors of each stage. The eccentricities of stages are evaluated with reference to the common axis and the installation angles of stages are optimized by minimizing the sum of eccentricities. Sensitivities of eccentricity, eccentric angle and parallelism of each stage are analyzed and repair decisions for parts are made to meet more strict requirements. An example of a three-stage subassembly is presented to demonstrate the solution.

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Abbreviations

T :

Homogeneous Transformation Matrix

e c :

Eccentricity of stages

φ ec :

Eccentric angle of stages

θ :

Parallelism of stages

References

  1. Davidson, J. K., Mujezinovi, A., & Shah, J. J. (2003). A new mathematical model for geometric tolerances as applied to round faces. Journal of Mechanical Design, 124(4), 609–622.

    Article  Google Scholar 

  2. Mansuy, M., Giordano, M., & Davidson, J. K. (2013). Comparison of two similar mathematical models for tolerance analysis: T-Map and deviation domain. Journal of Mechanical Design, 135(10), 101008.

    Article  Google Scholar 

  3. Desrochers, A., Ghie, W., & LaperrièRe, L. (2003). Application of a unified Jacobian–Torsor model for tolerance analysis. Journal of Computing and Information Science in Engineering, 3(1), 2–14.

    Article  MATH  Google Scholar 

  4. Chen, H., Jin, S., Li, Z., & Lai, X. (2015). A modified method of the unified Jacobian–Torsor model for tolerance analysis and allocation. International Journal of Precision Engineering & Manufacturing, 16(8), 1789–1800.

    Article  Google Scholar 

  5. Zeng, W., Rao, Y., Wang, P., & Yi, W. (2017). A solution of worst-case tolerance analysis for partial parallel chains based on the unified Jacobian–Torsor model. Precision Engineering, 47, 276–291.

    Article  Google Scholar 

  6. Guo, J., Hong, J., Yang, Z., & Wang, Y. (2013). A tolerance analysis method for rotating machinery ☆. Procedia Cirp, 10, 77–83.

    Article  Google Scholar 

  7. Sun, Y., Hong, J., Liu, Z., & Guo, J. (2017). A calculating method for the geometric rotation accuracy of precision spindles considering the manufacturing errors of component parts. Journal of Mechanical Engineering, 173.

  8. Yan, H., Cao, Y., & Yang, J. (2016). Statistical tolerance analysis based on good point set and homogeneous transform matrix ☆. Procedia Cirp, 43, 178–183.

    Article  Google Scholar 

  9. Shen, Z., Ameta, G., Shah, J. J., & Davidson, J. K. (2005). A comparative study of tolerance analysis methods. Journal of Computing and Information Science in Engineering, 5(3), 247.

    Article  Google Scholar 

  10. Sun, Y., Hong, J., Guo, J., Zhang, Y., Wan, S., & Zheng, S. (2018). An analysis model to predict rotation accuracy of high-precision spindles considering part errors and deformation. In Proceedings of the ASME international mechanical engineering congress & exposition (pp. V002T002A113).

  11. Kong, L. B., Cheung, C. F., To, S., Lee, W. B., Du, J. J., & Zhang, Z. J. (2008). A kinematics and experimental analysis of form error compensation in ultra-precision machining. International Journal of Machine Tools and Manufacture, 48(12), 1408–1419.

    Article  Google Scholar 

  12. Lu, C., Liu, Z., Ai, Y., & Yu, Z. (2015). Assembly joint surface error modeling and tolerance optimization in the case of coupled tolerance. Journal of Mechanical Engineering, 51(18), 108–118.

    Article  Google Scholar 

  13. Jin, S., Ding, S., Li, Z., Yang, F., & Ma, X. (2018). Point-based solution using Jacobian–Torsor theory into partial parallel chains for revolving components assembly. Journal of Manufacturing Systems, 46(2018), 46–58.

    Article  Google Scholar 

  14. Yang, Z., Hussain, T., Popov, A. A., & Mcwilliam, S. (2011). Novel optimization technique for variation propagation control in an aero-engine assembly. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 225(1), 100–111.

    Article  Google Scholar 

  15. Yang, Z., Mcwilliam, S., Popov, A. A., & Hussain, T. (2013). A probabilistic approach to variation propagation control for straight build in mechanical assembly. International Journal of Advanced Manufacturing Technology, 64(5–8), 1029–1047.

    Article  Google Scholar 

  16. Ding, S., Jin, S., Li, Z., & Chen, H. (2017). Multistage rotational optimization using unified Jacobian–Torsor model in aero-engine assembly. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 233(1), 251–266.

    Article  Google Scholar 

  17. Wang, L., Sun, C., Tan, J., Zhao, B., & Wan, G. (2015). Improvement of location and orientation tolerances propagation control in cylindrical components assembly using stack-build assembly technique. Assembly Automation, 35(4), 358–366.

    Article  Google Scholar 

  18. Sun, C. Z., Wang, L., Tan, J. B., Zhao, B., Jin, G. L., & Zhao, X. P. (2017). Improvement of variation propagation control in mechanical assembly using adjustment assembly technique. Applied Mechanics and Materials, 870, 459–464.

    Article  Google Scholar 

  19. Hobson, T. (2018). http://www.taylor-hobson.com. Accessed 20 March 2018.

  20. RPI. (2018). http://www.rpiuk.com. Accessed 20 March 2018.

  21. Axiam. (2018). http://axiamgroup.com. Accessed 20 March 2018.

  22. Forrester, J. M., & Wesling, R. A. (2002) Loop stacked rotor assembly. US 6341419 B1.

  23. Lee, R. M., & Parsons, R. E. (2009). Method and apparatus for geometric rotor stacking and balancing. US 7539594 B2.

  24. Jiang, K., Davidson, J. K., Liu, J., & Shah, J. J. (2014). Using tolerance maps to validate machining tolerances for transfer of cylindrical datum in manufacturing process. The International Journal of Advanced Manufacturing Technology, 73(1–4), 465–478.

    Article  Google Scholar 

Download references

Acknowledgements

The work was supported by the National Natural Science Foundation of China (Grant No. 51805419), the National Natural Science Foundation of China (Key Program) (Grant No. 51635010), the National Science and Technology Major Project of China (Grant No. 2017-VII-0010-0105) and the China Postdoctoral Science Foundation funded project (Grant No. 2018M631147). The authors are grateful for these financial supports.

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Correspondence to Junkang Guo.

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Sun, Y., Guo, J., Hong, J. et al. Repair Decision Based on Sensitivity Analysis for Aero-Engine Assembly. Int. J. Precis. Eng. Manuf. 20, 347–362 (2019). https://doi.org/10.1007/s12541-019-00094-0

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