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<p>To gain a deeper understanding of the fatigue characteristics and service performance of 04Cr13Ni5Mo steel used for turbine blades in engineering applications, this paper examines the high-cycle fatigue performance of 04Cr13Ni5Mo stainless steel base and weld materials in air. The fatigue behavior of the material under 20,000–2,000,000 cycles is analyzed. The P-S-N life curve of the material is obtained and further analyzed. A probability distribution analysis model for fatigue data of the blade base and welding materials in air is developed and optimized. The Weibull three-parameter model is used as the fatigue failure probability distribution model for base and welding materials. Among the P-S-N curve models, the exponential P-S-N curve model provides a better fit and is selected to describe the material’s P-S-N curve.</p>

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Experimental and Theoretical Resistance on the Fatigue Behavior and Life Analysis of Turbine Blade Materials

  • 期刊论文

  • 发表日期：

    2025年11月1日

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  • W. Li,
  • Y. B. Li,
  • T. B. Liu,
  • Y. P. Li,
  • B. Xu,
  • H. Li,
  • X. C. Tian,
  • J. F. Dong

摘要

To gain a deeper understanding of the fatigue characteristics and service performance of 04Cr13Ni5Mo steel used for turbine blades in engineering applications, this paper examines the high-cycle fatigue performance of 04Cr13Ni5Mo stainless steel base and weld materials in air. The fatigue behavior of the material under 20,000–2,000,000 cycles is analyzed. The P-S-N life curve of the material is obtained and further analyzed. A probability distribution analysis model for fatigue data of the blade base and welding materials in air is developed and optimized. The Weibull three-parameter model is used as the fatigue failure probability distribution model for base and welding materials. Among the P-S-N curve models, the exponential P-S-N curve model provides a better fit and is selected to describe the material’s P-S-N curve.