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Life estimation of shafts using vibration based fatigue analysis

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Abstract

Many rotating machinery components fail due to fatigue when subjected to continuous fluctuating stresses. Hence, estimation of fatigue crack initiation life is essential to avoid catastrophic failure. Effective vibration based fatigue life analysis requires measurement of accurate time varying signal. In this study, experimentally observed fatigue lives of rotating shaft, for three different notch configurations, are compared with fatigue lives estimated using two approaches based on an acquired vibration signal. The first one is time domain approach (based on Rainflow cycle counting) while the second one is frequency domain approach (based on power spectral density moments). In the frequency domain approach, fatigue life is estimated using the narrow-band approximation and Dirlik’s empirical solution. The performance of two approaches in estimating fatigue life for the same signal length taken at different time intervals from the total signal acquired is also discussed. In addition, experimental uncertainty analysis is performed and discussed in this study. A good correlation is found between the estimated fatigue life using Dirlik’s rainflow range probability density function and experimental life. Therefore, this study concludes that the Dirlik’s approach can be considered as preferable method for estimating fatigue life of rotating shaft.

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Authors and Affiliations

  1. Mechanical Engineering Department, Indian Institute of Technology Madras, Chennai, 600036, India

    Sagi Rathna Prasad & A. S. Sekhar

Authors
  1. Sagi Rathna Prasad
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  2. A. S. Sekhar
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Correspondence to A. S. Sekhar.

Additional information

Recommended by Associate Editor Jun-Sik Kim

A. Seshadri Sekhar received his Ph.D. degree from IIT Madras, India, in 1993. He is currently a Professor in the Department of Mechanical Engineering at IIT Madras. His areas of research interests are rotor dynamics, tribology, condition monitoring and vibrations. He has over 175 publications in international journals and conferences.

Sagi Rathna Prasad is currently a Ph.D. student in Department of Mechanical Engineering, IIT Madras. His research interests are in the areas of vibration based fault diagnosis and prognosis in rotating machines. His works focus on the diagnosis of fault location identification, quantification and fatigue life estimation of rotors.

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Prasad, S.R., Sekhar, A.S. Life estimation of shafts using vibration based fatigue analysis. J Mech Sci Technol 32, 4071–4078 (2018). https://doi.org/10.1007/s12206-018-0806-4

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  • DOI: https://doi.org/10.1007/s12206-018-0806-4

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