Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials

The inclusion rating method by statistics of extreme values (IRMSE) using [Formula: see text] of inclusions as the size parameter enables one to discriminate between current super-clean steels. Moreover, IRMSE enables one to predict the size [Formula: see text] of maximum inclusions contained in dom...

Descripción completa

Detalles Bibliográficos
Autor principal: Murakami, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1994
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345296/
https://www.ncbi.nlm.nih.gov/pubmed/37405300
http://dx.doi.org/10.6028/jres.099.032
_version_ 1783734594379448320
author Murakami, Y.
author_facet Murakami, Y.
author_sort Murakami, Y.
collection PubMed
description The inclusion rating method by statistics of extreme values (IRMSE) using [Formula: see text] of inclusions as the size parameter enables one to discriminate between current super-clean steels. Moreover, IRMSE enables one to predict the size [Formula: see text] of maximum inclusions contained in domains larger than the inspection domain. The statistical distribution of [Formula: see text] can be used for the quality control of materials and for the prediction of a scatter band of fatigue strength. Practical procedures of inclusion rating and prediction of a scatter band of fatigue strength are shown.
format Online
Article
Text
id pubmed-8345296
institution National Center for Biotechnology Information
language English
publishDate 1994
publisher [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
record_format MEDLINE/PubMed
spelling pubmed-83452962023-07-03 Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials Murakami, Y. J Res Natl Inst Stand Technol Article The inclusion rating method by statistics of extreme values (IRMSE) using [Formula: see text] of inclusions as the size parameter enables one to discriminate between current super-clean steels. Moreover, IRMSE enables one to predict the size [Formula: see text] of maximum inclusions contained in domains larger than the inspection domain. The statistical distribution of [Formula: see text] can be used for the quality control of materials and for the prediction of a scatter band of fatigue strength. Practical procedures of inclusion rating and prediction of a scatter band of fatigue strength are shown. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1994 /pmc/articles/PMC8345296/ /pubmed/37405300 http://dx.doi.org/10.6028/jres.099.032 Text en https://creativecommons.org/publicdomain/zero/1.0/The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Article
Murakami, Y.
Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials
title Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials
title_full Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials
title_fullStr Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials
title_full_unstemmed Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials
title_short Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials
title_sort inclusion rating by statistics of extreme values and its application to fatigue strength prediction and quality control of materials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345296/
https://www.ncbi.nlm.nih.gov/pubmed/37405300
http://dx.doi.org/10.6028/jres.099.032
work_keys_str_mv AT murakamiy inclusionratingbystatisticsofextremevaluesanditsapplicationtofatiguestrengthpredictionandqualitycontrolofmaterials

Ejemplares similares