Fatigue Propagation Life Evaluating for Materials or Components Suffered Load Spectrum by Quantitative Fractography

Abstract:

Quantitative fractography is the important tool for evaluating the fatigue propagation life about material research and manufacturing process perfect, it is very useful in the circumstances that crack expands inside of the material or the crack cannot be observed because of the hidden part of the component. In-service components are usually suffered different load spectrums, and the fracture characteristics are combined created by random load spectrum and block spectrum, which are beach marks, small beach marks and fatigue striations. The most important thing for fractography quantitative analysis is to confirm the parameter used for evaluating the fatigue life and determine the relationship between the parameter and load spectrum. The relationships between different fracture characteristics and load spectrums are analyzed, and the selection means of characteristic parameter for different load spectrums are proposed. This paper also discussed a case of fatigue propagation life estimation of some aircraft lower wall panel suffered in-service aircraft flight load spectrum.

• Periodical: Advanced Materials Research (Volumes 887-888)
• Pages: 1053-1059
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.887-888.1053
• Online since: February 2014
• Authors: Xin Ling Liu*, Xing Chen, Chun Hu Tao
• Keywords: Beach Marks, Load Spectrum, Propagation Life Evaluating, Quantitative Fractography, Small Beach Marks

References

[1] Xinling Liu, Jiasheng Zhou, peidao Zhong. Fracture failure analysis of the third class turbine vanes of some engine. Materials for Mechanical Engineering, 005 VOL29 No8, P67.

[2] Hai Yan, Chunhu Tao, Ying Chen. The application of initial fatigue quality evaluation and fractography quantitative analysis during the failure analysis. The third proseminar of failure analysis and prevention about machine 1998. 443-449.

[3] weifang zhang, Gaoyuan Liu, Wei Gao, Chunhu Tao. Fatigue life retroestimation of wing structures on different load spectra. Journal of materials engineering, 2002, (5): 42.

[4] A. A. SHANIAVSKI and G. V. SKVORTSOV. Crack growth in the gigacycle fatigue regime for heliconpter gears. Fatigue Fract Engng Mater Struct 22: 609-619.

DOI: 10.1046/j.1460-2695.1999.00188.x

[5] LIU Xin-ling, ZHANG Wei-fang, JIANG Tao, TAO Chun-hu. Fracture analysis on the 4th compressor disc of some engine. Engineering Failure Analysis, 2007, 14(8): 1427-1434.

DOI: 10.1016/j.engfailanal.2007.02.008

[6] R. A. Pell, P. J. mazeika, L. Molent. The comparison of complex load sequences tested at several stress levels by fractographic examination. Engineering failure Analysis, 2005, 12: 586-603.

DOI: 10.1016/j.engfailanal.2004.09.007

[7] W. Zhang, L. Molent. Block-by-block approaches for spectrum fatigue crack growth prediction. Engineering Fracture Mechanics, 2008, 75: 4933-4947.

DOI: 10.1016/j.engfracmech.2008.06.033

[8] Xinling Liu, Weifang Zhang, Chunhu Tao. Comparison between two models for quantitative fractography analysis of fatigue life. Materials for mechanical engineering, 2008, 32(5): 4.

[9] Xinling Liu, Weifang Zhang, chunhu Tao. Fatigue quantitative analysis and failure estimation. Failure analysis and prevention, 2006, 1(1): 35.