The process of generating a complete S-N curve (Stress-Number of cycles curve) for fatigue characterization requires careful planning and execution of experiments. As materials engineers, we employ statistical methods to determine the fatigue strength of materials manufactured through various processes, including our Powder Bed Fusion and Directed Energy Deposition technologies. The number of specimens and testing duration vary significantly based on material type, application requirements, and statistical confidence needs.
A complete S-N curve typically requires between 12 to 30 specimens for conventional materials, with additive manufacturing materials often needing additional specimens due to inherent process variations. The specimen distribution adheres to established standards, including ASTM E466 and ASTM E739. For high-reliability applications in industries such as aerospace and Aviation, we recommend testing at least 3-5 specimens per stress level across 4-6 different stress levels. This approach ensures statistical significance when characterizing materials such as Titanium Alloy Ti-6Al-4V or Superalloy Inconel 718.
The specimen quantity further depends on material homogeneity and post-processing treatments. For instance, materials that have undergone Heat Treatment may demonstrate more consistent fatigue behavior, potentially reducing specimen requirements. Conversely, complex materials like Stainless Steel processed through additive manufacturing often require additional specimens to account for anisotropic properties and build orientation effects.
The duration to establish a complete S-N curve ranges from several weeks to multiple months, depending on the target fatigue life and testing frequency. High-cycle fatigue testing (10⁴ to 10⁷ cycles) typically requires 2-8 weeks using conventional hydraulic test systems operating at 10-100 Hz. For very high-cycle fatigue regimes exceeding 10⁷ cycles, testing may extend to 3-6 months. The testing timeframe is significantly influenced by the material's endurance limit and the stress ratios being investigated.
To optimize testing efficiency, we employ strategic methodologies, including the staircase method for fatigue limit determination and simultaneous testing of multiple specimens. For critical components destined for Automotive or Medical and Healthcare applications, we often combine S-N curve testing with structural analysis to validate performance under actual service conditions.
The testing scope varies substantially across applications. Energy and Power components often require extended testing under environmental simulation, whereas consumer electronics parts may follow accelerated reliability testing protocols. The selection of specimen quantity and testing duration must align with the criticality of the component and its intended service environment.
Materials that have undergone Hot Isostatic Pressing (HIP) typically exhibit improved fatigue performance due to reduced internal porosity, which may enable modified testing approaches. Similarly, components with enhanced Surface Treatment often require specialized specimen preparation to accurately represent the surface condition's effect on fatigue performance.