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Discretized Markov chain in damage assessment using Rainflow cycle with effects of mean stress on an automobile crankshaft

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Abstract

We studied the effect of mean stress correction factor using the Rainflow counting technique to assess the fatigue damage of an automobile crankshaft under service loading by considering the stochastic process of the Markov chain. The failure of the crankshaft will cause serious damage to the engine and also to other connecting subcomponents. The service loading is computationally generated from the Discrete Markov chain model and the fatigue cycle is counted using the Rainflow counting technique with the consideration of the local minima and maxima load. To quantify the fatigue damage, the strain-life curve using the fatigue mean stresses was used to model the fatigue failure of the material used in for the crankshaft at N f = 10 6. The fatigue mean stresses were used to estimate the effects of the mean stress on the fatigue strength of the component under service loading condition. Statistical verification with the boundary condition of the 90% confidence level was performed to observe the difference between the stochastic algorithms when compared towards the fatigue life behavior of the ductile cast iron material. We concluded that for the practical application, the proposed stochastic model provides a highly accurate assessment of fatigue damage prediction for improving the safety and controlling the risk factors in terms of structural health monitoring.

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Authors and Affiliations

  1. Department of Mechanical & Materials Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Singh Salvinder & Abdullah Shahrum

  2. Centre of Automotive Research, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Singh Salvinder & Abdullah Shahrum

  3. Department of Mechanical Engineering, Politeknik Ungku Omar, 31400, Ipoh, Perak, Malaysia

    Singh Salvinder

  4. Department of Mechanical Engineering, Universiti Malaysia Pahang Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia

    Nik Abdullah Nik Mohamed

Authors
  1. Singh Salvinder
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  2. Abdullah Shahrum
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  3. Nik Abdullah Nik Mohamed
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Corresponding author

Correspondence to Abdullah Shahrum.

Additional information

Recommended by Associate Editor Jin Weon Kim

Singh Salvinder is currently a Lecturer at the Department of Mechanical Engineering, Politeknik Ungku Omar, Malaysia. He received his Ph.D. in Mechanical Engineering from Universiti Kebangsaan Malaysia, Malaysia in 2016. His research interests include reliability engineering, damage mechanics, fatigue data analysis, fatigue failure, structural integrity and durability analysis.

Abdullah Shahrum is currently a Professor and Head of the Department of Mechanical and Material Engineering, Universiti Kebangsaan Malaysia. He received his Ph.D. from the University of Sheffield, United Kingdom, in 2005. His research interests include fatigue failure, FEA-based fatigue analysis fracture mechanics, damage mechanics, fatigue data analysis, signal analysis and mechanics of materials engineering design.

Nik Abdullah Nik Mohamed is currently a Professor of Mechanical Engineering, Universiti Malaysia Pahang, Malaysia. He received his Ph.D. from Technische Universität Berlin, Germany in 1991. His research interests include continuum mechanics, material theory, reliability engineering, smart materials and peridynamics.

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Salvinder, S., Shahrum, A. & Mohamed, N.A.N. Discretized Markov chain in damage assessment using Rainflow cycle with effects of mean stress on an automobile crankshaft. J Mech Sci Technol 30, 3539–3551 (2016). https://doi.org/10.1007/s12206-016-0714-4

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  • DOI: https://doi.org/10.1007/s12206-016-0714-4

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