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RELATING GIGACYCLE FATIGUE TO OTHER METHODS IN EVALUATING THE INCLUSION DISTRIBUTION OF A H13 TOOL STEEL
Karlstad University, Faculty of Technology and Science, Materials Science. Karlstad University, Faculty of Technology and Science, Department of Mechanical and Materials Engineering.
Karlstad University, Faculty of Technology and Science, Materials Science. Karlstad University, Faculty of Technology and Science, Department of Mechanical and Materials Engineering.
Karlstad University, Faculty of Technology and Science, Materials Science. Karlstad University, Faculty of Technology and Science, Department of Mechanical and Materials Engineering.
2007 (English)Conference paper (Refereed)
Abstract [en]

Inclusions play a crucial role for the fatigue properties of high strength steel, but to find the

largest inclusions by microscopy measurements large areas have to be examined. In this study ultrasonic gigacycle staircase fatigue testing has been used to find large inclusions in an H13 tool steel. The inclusions have been examined in SEM and their size

distribution modeled using methods from extreme value statistics. The inclusion distribution obtained from the fatigue crack surfaces is compared to distributions acquired by microscopy study of cross sections as well as ultrasound immersion tank measurements and to the corresponding staircase fatigue data via the Murakami \sqrt{Area} model. It is shown that the fatigue method more effectively finds large inclusions than the other methods. It is also shown that the correlation between predictions of inclusion sizes by the \sqrt{Area} model from stress levels and fatigue initiating inclusions is weak for this material

Place, publisher, year, edition, pages
2007.
Keyword [en]
Inclusion distribution, gigacycle fatigue, extreme value statistics
National Category
Materials Engineering
Research subject
Materials Engineering
Identifiers
URN: urn:nbn:se:kau:diva-22978OAI: oai:DiVA.org:kau-22978DiVA: diva2:596733
Conference
Proceedings of the 4th International Conference on Very High Cycle Fatigue
Available from: 2013-01-22 Created: 2013-01-22 Last updated: 2013-01-22

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Ekengren, JensKazymyrovych, VitaliyBurman, ChristerBergström, Jens
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