Strength statistics for porous alumina
The mechanical strength statistics for porous spherical alumina based on the large sample size is considered. The Weibull and Gamma distributions have been used to describe mechanical strength of uniform alumina granules obtained by the oil-drop method. The suitability of distributions for the mecha...
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Veröffentlicht in: | Powder technology 2019-02, Vol.343, p.783-791 |
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description | The mechanical strength statistics for porous spherical alumina based on the large sample size is considered. The Weibull and Gamma distributions have been used to describe mechanical strength of uniform alumina granules obtained by the oil-drop method. The suitability of distributions for the mechanical strength of spherical alumina has been verified by two goodness-of-fit tests: Lilliefors-corrected Kolmogorov-Smirnov and Pearson's chisquared test. Distribution parameters were calculated by the maximum likelihood estimation. It has been demonstrated that the Weibull distribution should not be employed for a statistical description of the mechanical strength of porous alumina. The alumina mechanical strength appear to follow the Gamma distribution. Advantages of using the Gamma distribution have been discussed. The main recommendations have been formulated when using a statistical approach for describing a strength of catalysts and supports based on alumina.
[Display omitted]
•A crush strength of porous alumina obtained by the oil-drop method was investigated.•Weibull distribution is not correct for statistical description of alumina strength.•The mechanical strength of porous alumina appear to follow the Gamma distribution. |
doi_str_mv | 10.1016/j.powtec.2018.11.098 |
format | Article |
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[Display omitted]
•A crush strength of porous alumina obtained by the oil-drop method was investigated.•Weibull distribution is not correct for statistical description of alumina strength.•The mechanical strength of porous alumina appear to follow the Gamma distribution.</description><identifier>ISSN: 0032-5910</identifier><identifier>EISSN: 1873-328X</identifier><identifier>DOI: 10.1016/j.powtec.2018.11.098</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Alumina ; Aluminum oxide ; Catalysts ; Gamma distribution ; Goodness of fit ; Goodness-of-fit test ; Maximum likelihood estimation ; Mechanical properties ; Mechanical strength ; Porous alumina ; Probability distribution functions ; Statistical analysis ; Statistical tests ; Statistics ; Strength ; Weibull distribution</subject><ispartof>Powder technology, 2019-02, Vol.343, p.783-791</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright Elsevier BV Feb 1, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-946ab05dae20d1acc5f9cd9d5f605db7e21de7158d540ad557080c53c96ebffb3</citedby><cites>FETCH-LOGICAL-c334t-946ab05dae20d1acc5f9cd9d5f605db7e21de7158d540ad557080c53c96ebffb3</cites><orcidid>0000-0001-6434-6623</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.powtec.2018.11.098$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Fedorov, A.V.</creatorcontrib><creatorcontrib>Gulyaeva, Y.K.</creatorcontrib><title>Strength statistics for porous alumina</title><title>Powder technology</title><description>The mechanical strength statistics for porous spherical alumina based on the large sample size is considered. The Weibull and Gamma distributions have been used to describe mechanical strength of uniform alumina granules obtained by the oil-drop method. The suitability of distributions for the mechanical strength of spherical alumina has been verified by two goodness-of-fit tests: Lilliefors-corrected Kolmogorov-Smirnov and Pearson's chisquared test. Distribution parameters were calculated by the maximum likelihood estimation. It has been demonstrated that the Weibull distribution should not be employed for a statistical description of the mechanical strength of porous alumina. The alumina mechanical strength appear to follow the Gamma distribution. Advantages of using the Gamma distribution have been discussed. The main recommendations have been formulated when using a statistical approach for describing a strength of catalysts and supports based on alumina.
[Display omitted]
•A crush strength of porous alumina obtained by the oil-drop method was investigated.•Weibull distribution is not correct for statistical description of alumina strength.•The mechanical strength of porous alumina appear to follow the Gamma distribution.</description><subject>Alumina</subject><subject>Aluminum oxide</subject><subject>Catalysts</subject><subject>Gamma distribution</subject><subject>Goodness of fit</subject><subject>Goodness-of-fit test</subject><subject>Maximum likelihood estimation</subject><subject>Mechanical properties</subject><subject>Mechanical strength</subject><subject>Porous alumina</subject><subject>Probability distribution functions</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Statistics</subject><subject>Strength</subject><subject>Weibull distribution</subject><issn>0032-5910</issn><issn>1873-328X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMoWEf_gYuC4K713qbpYyPI4AsGXKjgLqR5aMpMU5NU8d_boa5dHbiccy7nI-QcIUfA6qrPR_cdtcwLwCZHzKFtDkiCTU0zWjRvhyQBoEXGWoRjchJCDwAVRUjI5XP0eniPH2mIItoQrQypcT4dnXdTSMV22tlBnJIjI7ZBn_3pirze3b6sH7LN0_3j-maTSUrLmLVlJTpgSugCFAopmWmlahUz1Xztal2g0jWyRrEShGKshgYko7KtdGdMR1fkYukdvfucdIi8d5Mf5pe8wLZkNcUaZ1e5uKR3IXht-OjtTvgfjsD3RHjPFyJ8T4Qj8pnIHLteYnpe8GW150FaPUitrNcycuXs_wW_nMdrww</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Fedorov, A.V.</creator><creator>Gulyaeva, Y.K.</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7ST</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>JG9</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-6434-6623</orcidid></search><sort><creationdate>20190201</creationdate><title>Strength statistics for porous alumina</title><author>Fedorov, A.V. ; Gulyaeva, Y.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-946ab05dae20d1acc5f9cd9d5f605db7e21de7158d540ad557080c53c96ebffb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alumina</topic><topic>Aluminum oxide</topic><topic>Catalysts</topic><topic>Gamma distribution</topic><topic>Goodness of fit</topic><topic>Goodness-of-fit test</topic><topic>Maximum likelihood estimation</topic><topic>Mechanical properties</topic><topic>Mechanical strength</topic><topic>Porous alumina</topic><topic>Probability distribution functions</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Statistics</topic><topic>Strength</topic><topic>Weibull distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fedorov, A.V.</creatorcontrib><creatorcontrib>Gulyaeva, Y.K.</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Materials Research Database</collection><collection>Environment Abstracts</collection><jtitle>Powder technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fedorov, A.V.</au><au>Gulyaeva, Y.K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Strength statistics for porous alumina</atitle><jtitle>Powder technology</jtitle><date>2019-02-01</date><risdate>2019</risdate><volume>343</volume><spage>783</spage><epage>791</epage><pages>783-791</pages><issn>0032-5910</issn><eissn>1873-328X</eissn><abstract>The mechanical strength statistics for porous spherical alumina based on the large sample size is considered. The Weibull and Gamma distributions have been used to describe mechanical strength of uniform alumina granules obtained by the oil-drop method. The suitability of distributions for the mechanical strength of spherical alumina has been verified by two goodness-of-fit tests: Lilliefors-corrected Kolmogorov-Smirnov and Pearson's chisquared test. Distribution parameters were calculated by the maximum likelihood estimation. It has been demonstrated that the Weibull distribution should not be employed for a statistical description of the mechanical strength of porous alumina. The alumina mechanical strength appear to follow the Gamma distribution. Advantages of using the Gamma distribution have been discussed. The main recommendations have been formulated when using a statistical approach for describing a strength of catalysts and supports based on alumina.
[Display omitted]
•A crush strength of porous alumina obtained by the oil-drop method was investigated.•Weibull distribution is not correct for statistical description of alumina strength.•The mechanical strength of porous alumina appear to follow the Gamma distribution.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.powtec.2018.11.098</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-6434-6623</orcidid></addata></record> |
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subjects | Alumina Aluminum oxide Catalysts Gamma distribution Goodness of fit Goodness-of-fit test Maximum likelihood estimation Mechanical properties Mechanical strength Porous alumina Probability distribution functions Statistical analysis Statistical tests Statistics Strength Weibull distribution |
title | Strength statistics for porous alumina |
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