Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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.ORCID iD: 0000-0001-6029-2613
2007 (English)Conference paper, Published 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.
Keywords [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, id: 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: 2019-07-10

Open Access in DiVA

No full text in DiVA

Authority records

Ekengren, JensKazymyrovych, VitaliyBurman, ChristerBergström, Jens

Search in DiVA

By author/editor
Ekengren, JensKazymyrovych, VitaliyBurman, ChristerBergström, Jens
By organisation
Materials ScienceDepartment of Mechanical and Materials Engineering
Materials Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 227 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf