Fatigue-life estimation and material selection for commercial-purity aluminum sheets

Sakin, Raif

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Research Article

Fatigue-life estimation and material selection for commercial-purity aluminum sheets

Raif Sakin

Department of Machine, Edremit Vocational School of Higher Education, Balikesir University, Turkey

Keywords

Abstract

Aluminum Sheet,

Weibull Distribution,

Reliability,

Fatigue-Life Estimation,

Material Selection

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.

DOI: http://dx.doi.org/10.17515/resm2015.30me1205 Full Text

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LATEST AWARDS

2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.

Reviewer Awards section

2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the

2022 Best Paper Award

2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the

2022 Most Cited Paper Award.

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