Study on Probability Distributions of Processing and Assembling Promoters of Aero-Engine Critical Part

Abstract:

According to the characteristics of aero-engine and the study purpose of this paper, aero-engine information data were collected and screened from " Aero-engine Assembly Resume ", included: certain engine components data, assembly detection data and engine trial run data. By using the collected and screened data, correlation analysis were carried among testing parameters and among vibration parameters, correlation analysis were also carried between testing parameters or vibration parameters and components geometry parameters, assembly parameters or parameters combination which impact engine performance. From the result of correlation analysis, the key parameters strongly affecting engine performance can be found out, and then according to the value of the correlation coefficient put these parameters in queue. The optimal distribution of these parameters in queue can be determined by data analysis software, and the estimation eigenvalue of these parameter can be obtained. Purpose and significance of this paper is to improve the reliability of the components producing and assembly processing, what is more, it provides theoretical basis for the design and improvement of aero-engine.

• Periodical: Applied Mechanics and Materials (Volume 290)
• Pages: 107-111
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.290.107
• Online since: February 2013
• Authors: Min Huang, Zhao Wang, Jun Yi
• Keywords: Correlation Analysis, Engine Performance, Key Parameters, Probability Distribution, Trial Run Data

References

[1] T. Arts, J. M. Duboue and G. Rollin, JOURNAL OF TURBOMACHINERY TRANSACTIONS OF THE ASME. 3, 120 (1998).

[2] A. Prencipe, RESEARCH POLICY. 8, 25 (1997).

[3] Y. Zhang and Z. Y. Chen, MECHANICAL SCIENCE AND TECHNOLOGY. 5, 22 (2003).

[4] Y. Zhao, J. Yang and X. B. Ma, Reliability Data Analysis Tutorial, Beijing University of Aeronautics and Astronautics, Beijing (2009).

[5] G. Y. Lai, C. Chao, SPSS 17. 0 Common functions and application examples, Publishing House of Electronics Industry, Beijing (2011).

[6] M. Lapuerta, O. Armas, V. Bermudez, APPLIED THERMAL ENGINEERING, 9, 20 (2000).

[7] G. J. Balas, INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 9, 12 (2002).

[8] W. He, Evaluation system for Aero-engine performance based on Testing data, Harbin Engineering University (2005).

[9] B. Y. Chen, Gas Turbine Experiment and Research. 2 (1996).

[10] W. B. Wang, W. J. Zhang, NAVAL RESEARCH LOGISTICS, 52 (2005).

[11] C. D. Rakopoulos, E. G. Giakoumis, PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 1, 32 (2005).