Mechanical properties distributions of PM manganese steels analysed by Gaussian and Weibull statistics
Powder metallurgy (PM) parts acceptance is determined by compositional and processing parameters and their controls. Statistical procedures are used for assessment; normal distribution and 'six sigma' appear to predominate. For fatigue of metallic materials and strengths of ceramics, fibre...
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| Veröffentlicht in: | Powder metallurgy 2010-12, Vol.53 (4), p.328-335 |
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| creator | Cias, A. Wronski, A. S. |
| description | Powder metallurgy (PM) parts acceptance is determined by compositional and processing parameters and their controls. Statistical procedures are used for assessment; normal distribution and 'six sigma' appear to predominate. For fatigue of metallic materials and strengths of ceramics, fibres and composites, however, Weibull probability of survival analyses are widely used. The original analysis considers a threshold stress at which the probability of failure is zero. This stress is frequently taken to be zero, simplifying the analysis to two parameters. The yield stress has been suggested for the threshold stress, probably not sufficiently conservative for less ductile PM materials. A new three-parameter Weibull analysis, in which it is taken to be the fracture strength minus six standard deviations, is presented. Powder metallurgy manganese steels are under commercial consideration and this approach is applied to 12 variants of such laboratory processed specimens. It is compared with the two-parameter Weibull and Gaussian, the least conservative, analyses. |
| doi_str_mv | 10.1179/003258910X12678035166737 |
| format | Article |
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Powder metallurgy manganese steels are under commercial consideration and this approach is applied to 12 variants of such laboratory processed specimens. It is compared with the two-parameter Weibull and Gaussian, the least conservative, analyses.</description><identifier>ISSN: 0032-5899</identifier><identifier>EISSN: 1743-2901</identifier><identifier>DOI: 10.1179/003258910X12678035166737</identifier><identifier>CODEN: PWMTAU</identifier><language>eng</language><publisher>London, England: Taylor & Francis</publisher><subject>Applied sciences ; Assessments ; Exact sciences and technology ; Fatigue (materials) ; Fatigue failure ; Gaussian ; GAUSSIAN AND WEIBULL STATISTICS ; Manganese steels ; MECHANICAL PROPERTIES ; Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology ; Metals. Metallurgy ; PM MANGANESE STRUCTURAL STEELS ; Powder metallurgy ; Powder metallurgy. 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S.</creatorcontrib><title>Mechanical properties distributions of PM manganese steels analysed by Gaussian and Weibull statistics</title><title>Powder metallurgy</title><description>Powder metallurgy (PM) parts acceptance is determined by compositional and processing parameters and their controls. Statistical procedures are used for assessment; normal distribution and 'six sigma' appear to predominate. For fatigue of metallic materials and strengths of ceramics, fibres and composites, however, Weibull probability of survival analyses are widely used. The original analysis considers a threshold stress at which the probability of failure is zero. This stress is frequently taken to be zero, simplifying the analysis to two parameters. The yield stress has been suggested for the threshold stress, probably not sufficiently conservative for less ductile PM materials. A new three-parameter Weibull analysis, in which it is taken to be the fracture strength minus six standard deviations, is presented. Powder metallurgy manganese steels are under commercial consideration and this approach is applied to 12 variants of such laboratory processed specimens. It is compared with the two-parameter Weibull and Gaussian, the least conservative, analyses.</description><subject>Applied sciences</subject><subject>Assessments</subject><subject>Exact sciences and technology</subject><subject>Fatigue (materials)</subject><subject>Fatigue failure</subject><subject>Gaussian</subject><subject>GAUSSIAN AND WEIBULL STATISTICS</subject><subject>Manganese steels</subject><subject>MECHANICAL PROPERTIES</subject><subject>Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology</subject><subject>Metals. Metallurgy</subject><subject>PM MANGANESE STRUCTURAL STEELS</subject><subject>Powder metallurgy</subject><subject>Powder metallurgy. Composite materials</subject><subject>Production techniques</subject><subject>Standard deviation</subject><subject>Statistics</subject><subject>Technology</subject><subject>Threshold stress</subject><issn>0032-5899</issn><issn>1743-2901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqNkE9v1DAQxS0EEkvhO_iCOAXsOP6TI1pBi9QKDiC4RRN7XFx548WTCO23x9UWbghOlj2_9974McaleC2lHd8IoXrtRim-yd5YJ5SWxlhlH7GdtIPq-lHIx2x3j3WNG5-yZ0R3ot21czsWb9B_hyV5yPxYyxHrmpB4SLTWNG9rKgvxEvmnG36A5RYWJOS0ImbisEA-EQY-n_glbEQJlvYY-Fds0pwbB2szSp6esycRMuGLh_OCfXn_7vP-qrv-ePlh__a680Nv164HA9HhgGFQxg-zVTNgb6OSMwYnAlg3zzZYrYMeZFSDQT8a46QVbRS8umCvzr7tLz82pHU6JPKYc1u8bDQ5ra1woxaNdGfS10JUMU7Hmg5QT5MU032z09-abdKXDyFArbdYYfGJ_uh7ZYwYpGycPnMEtzjdla22wuh__PdnXVpiqQf4WWoO0wqnXOrvMPVPl18G9J5Z</recordid><startdate>20101201</startdate><enddate>20101201</enddate><creator>Cias, A.</creator><creator>Wronski, A. S.</creator><general>Taylor & Francis</general><general>SAGE Publications</general><general>Maney</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope></search><sort><creationdate>20101201</creationdate><title>Mechanical properties distributions of PM manganese steels analysed by Gaussian and Weibull statistics</title><author>Cias, A. ; Wronski, A. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-2a6af8e4ed436c4b73bae27f31bed80da78bb7d755d541f346ec9668170a78dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Assessments</topic><topic>Exact sciences and technology</topic><topic>Fatigue (materials)</topic><topic>Fatigue failure</topic><topic>Gaussian</topic><topic>GAUSSIAN AND WEIBULL STATISTICS</topic><topic>Manganese steels</topic><topic>MECHANICAL PROPERTIES</topic><topic>Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology</topic><topic>Metals. Metallurgy</topic><topic>PM MANGANESE STRUCTURAL STEELS</topic><topic>Powder metallurgy</topic><topic>Powder metallurgy. Composite materials</topic><topic>Production techniques</topic><topic>Standard deviation</topic><topic>Statistics</topic><topic>Technology</topic><topic>Threshold stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cias, A.</creatorcontrib><creatorcontrib>Wronski, A. S.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>Powder metallurgy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cias, A.</au><au>Wronski, A. S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mechanical properties distributions of PM manganese steels analysed by Gaussian and Weibull statistics</atitle><jtitle>Powder metallurgy</jtitle><date>2010-12-01</date><risdate>2010</risdate><volume>53</volume><issue>4</issue><spage>328</spage><epage>335</epage><pages>328-335</pages><issn>0032-5899</issn><eissn>1743-2901</eissn><coden>PWMTAU</coden><abstract>Powder metallurgy (PM) parts acceptance is determined by compositional and processing parameters and their controls. Statistical procedures are used for assessment; normal distribution and 'six sigma' appear to predominate. For fatigue of metallic materials and strengths of ceramics, fibres and composites, however, Weibull probability of survival analyses are widely used. The original analysis considers a threshold stress at which the probability of failure is zero. This stress is frequently taken to be zero, simplifying the analysis to two parameters. The yield stress has been suggested for the threshold stress, probably not sufficiently conservative for less ductile PM materials. A new three-parameter Weibull analysis, in which it is taken to be the fracture strength minus six standard deviations, is presented. Powder metallurgy manganese steels are under commercial consideration and this approach is applied to 12 variants of such laboratory processed specimens. It is compared with the two-parameter Weibull and Gaussian, the least conservative, analyses.</abstract><cop>London, England</cop><pub>Taylor & Francis</pub><doi>10.1179/003258910X12678035166737</doi><tpages>8</tpages></addata></record> |
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| ispartof | Powder metallurgy, 2010-12, Vol.53 (4), p.328-335 |
| issn | 0032-5899 1743-2901 |
| language | eng |
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| source | SAGE Complete A-Z List |
| subjects | Applied sciences Assessments Exact sciences and technology Fatigue (materials) Fatigue failure Gaussian GAUSSIAN AND WEIBULL STATISTICS Manganese steels MECHANICAL PROPERTIES Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology Metals. Metallurgy PM MANGANESE STRUCTURAL STEELS Powder metallurgy Powder metallurgy. Composite materials Production techniques Standard deviation Statistics Technology Threshold stress |
| title | Mechanical properties distributions of PM manganese steels analysed by Gaussian and Weibull statistics |
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