The reliability graphs were obtained for material selection.
📌 3 Key Takeaways
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Objective & Hypothesis:This study had two fundamental purposes: fatigue-life estimation by statistical analysis of fatigue test data of cold-rolled commercial-purity aluminum sheets and material selection in HCF and LCF regions.
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Key Findings & Data:Aluminum alloys 1100 and 1050 were cut in the rolling direction and long transverse direction.
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Conclusion & Impact:The reliability graphs were obtained for material selection.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Özet
This study had two fundamental purposes: fatigue-life estimation by statistical analysis of fatigue test data of cold-rolled commercial-purity aluminum sheets and material selection in HCF and LCF regions. Aluminum alloys 1100 and 1050 were cut in the rolling direction and long transverse direction. The specimens were subjected to cantilever-type plane bending fatigue tests using a fully reversed stress rate at room temperature. A two-parameter Weibull distribution was used for statistical analysis. S–N curves with 12 different reliability levels between 0.01 and 0.99 and empirical formulas were obtained for fatigue-life estimation. The reliability graphs were obtained for material selection.
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Cite This Article
SAKİN, R. (2016). Fatigue-life estimation and material selection for commercialpurity aluminum sheets. Research on Engineering Structures and Materials, Cilt: 2 - Sayı: 2, 89–104. https://ajindex.com/articles/302677
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