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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Powder technology 2019-02, Vol.343, p.783-791
Hauptverfasser: Fedorov, A.V., Gulyaeva, Y.K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 791
container_issue
container_start_page 783
container_title Powder technology
container_volume 343
creator Fedorov, A.V.
Gulyaeva, Y.K.
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2194573171</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0032591018310258</els_id><sourcerecordid>2194573171</sourcerecordid><originalsourceid>FETCH-LOGICAL-c334t-946ab05dae20d1acc5f9cd9d5f605db7e21de7158d540ad557080c53c96ebffb3</originalsourceid><addsrcrecordid>eNp9kEtLxDAUhYMoWEf_gYuC4K713qbpYyPI4AsGXKjgLqR5aMpMU5NU8d_boa5dHbiccy7nI-QcIUfA6qrPR_cdtcwLwCZHzKFtDkiCTU0zWjRvhyQBoEXGWoRjchJCDwAVRUjI5XP0eniPH2mIItoQrQypcT4dnXdTSMV22tlBnJIjI7ZBn_3pirze3b6sH7LN0_3j-maTSUrLmLVlJTpgSugCFAopmWmlahUz1Xztal2g0jWyRrEShGKshgYko7KtdGdMR1fkYukdvfucdIi8d5Mf5pe8wLZkNcUaZ1e5uKR3IXht-OjtTvgfjsD3RHjPFyJ8T4Qj8pnIHLteYnpe8GW150FaPUitrNcycuXs_wW_nMdrww</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2194573171</pqid></control><display><type>article</type><title>Strength statistics for porous alumina</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Fedorov, A.V. ; Gulyaeva, Y.K.</creator><creatorcontrib>Fedorov, A.V. ; Gulyaeva, Y.K.</creatorcontrib><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><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>
fulltext fulltext
identifier ISSN: 0032-5910
ispartof Powder technology, 2019-02, Vol.343, p.783-791
issn 0032-5910
1873-328X
language eng
recordid cdi_proquest_journals_2194573171
source Elsevier ScienceDirect Journals Complete
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T11%3A49%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Strength%20statistics%20for%20porous%20alumina&rft.jtitle=Powder%20technology&rft.au=Fedorov,%20A.V.&rft.date=2019-02-01&rft.volume=343&rft.spage=783&rft.epage=791&rft.pages=783-791&rft.issn=0032-5910&rft.eissn=1873-328X&rft_id=info:doi/10.1016/j.powtec.2018.11.098&rft_dat=%3Cproquest_cross%3E2194573171%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2194573171&rft_id=info:pmid/&rft_els_id=S0032591018310258&rfr_iscdi=true