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A Critical Review of Fatigue Life Prediction on 316LN SS

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Advances in Modelling and Optimization of Manufacturing and Industrial Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Fatigue failure is referred to the slow deterioration process of structures that are subjected to cyclic loading, including the structural elements of nuclear power plants, aircraft, railways, and rotating machinery. During their operating life, high-temperature components resist three major damaging phenomena: creep, fatigue, creep-fatigue interaction (CFI), and oxidation. Temperatures, strain amplitude, strain rates, hold period effect on fatigue, creep-fatigue interaction, and fatigue crack growth (FCG) for 316LN stainless steel (SS) are presented, and dynamic strain aging (DSA) role is discussed in the article. The fatigue life (FL) increases with nitrogen content (NC), and reduction in the stress precipitation and stress relaxation (SR) due to changes in dislocation structure are given in detail. Fatigue life decrease with increasing hold time is also presented.

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Authors and Affiliations

  1. Mechanical Engineering Department, National Institute of Technology Srinagar, Srinagar, J&K, 190006, India

    Raj Kumar, Mohammad Mursaleen, G. A. Harmain & Ashutosh Kumar

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  1. Raj Kumar
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  2. Mohammad Mursaleen
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  3. G. A. Harmain
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  4. Ashutosh Kumar
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Correspondence to Mohammad Mursaleen .

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Editors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana, India

    Ravi Pratap Singh

  2. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana, India

    Mohit Tyagi

  3. Department of Production and Industrial Engineering, Punjab Engineering College, Chandigarh, India

    R. S. Walia

  4. Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

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Kumar, R., Mursaleen, M., Harmain, G.A., Kumar, A. (2023). A Critical Review of Fatigue Life Prediction on 316LN SS. In: Singh, R.P., Tyagi, M., Walia, R.S., Davim, J.P. (eds) Advances in Modelling and Optimization of Manufacturing and Industrial Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-6107-6_30

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  • DOI: https://doi.org/10.1007/978-981-19-6107-6_30

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