Verification of Accelerated Methods for Determining the S-N Curve

Author:

Przemysław Strzelecki1

Affiliation:

1. University of Technology and Life Sciences

Abstract

The paper presents accelerated methods for determining the fatigue curve in high cycle fatigue. The estimated fatigue characteristics using these algorithms always show an error, however the applicable literature does not seem to specify how accurate the methods are, which calls for their further examination. To verify the approximation methods, material C45+C was tested to provide reference characteristics. For the experimental results to be received, the test equipment developed applying own design was used. The analysis of the data has confirmed a good operation of the testing machine. To verify the accelerated methods, there was applied the statistics method to compare the coefficients of the regression curve from the experimental data and the coefficients of the analytical regression method. Using that comparison method, it can be assumed that only the estimated curve applying the algorithm by Strzelecki P. & Sempruch J. demonstrates the factors equal to the empirical line.

Publisher

Trans Tech Publications, Ltd.

Reference13 articles.

1. ISO 1143 Metallic materials – Rotating bar bending fatigue testing. (2010).

2. GUTTIERREZ-SOLANA F., et al., FITNET Basic Training Package, Universidad de Cantabria, http: /www. eurofitnet. org/ index. html. (2006).

3. M. Kocak. FITNET Final Technical Report, FITNET European Fitness for service network, http: /www. eurofitnet. org/index. html. (2006).

4. W. Krysicki, et al., Probability theory and mathematical statistics in problem, PWN, Warszawa. (2000).

5. Lee Yung-Li, Pan Jwo, R. B. Hathaway, M. E. Barkey. Fatigue testing and analysis, University of Alabama, Elsevier. (2005).

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