Grain Growth Kinetics of 0.65Ca0.61La0.26TiO3-0.35Sm(Mg0.5Ti0.5)O3 Dielectric Ceramic

The 0.65Ca0.61La0.26TiO3-0.35Sm(Mg0.5Ti0.5)O3[0.65CLT-0.35SMT] ceramic was prepared by the solid-state reaction method. The effects of sintering process on its microstructure and grain growth behavior were investigated. The Hillert model and a simplified Sellars model were established by linear regr...

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Veröffentlicht in:Materials 2020-09, Vol.13 (17), p.3905
Hauptverfasser: Liu, Jin, Liang, Bingliang, Zhang, Jianjun, He, Wen, Ouyang, Sheng, Chen, Weihua, Liu, Changhong, Ai, Yunlong
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container_end_page
container_issue 17
container_start_page 3905
container_title Materials
container_volume 13
creator Liu, Jin
Liang, Bingliang
Zhang, Jianjun
He, Wen
Ouyang, Sheng
Chen, Weihua
Liu, Changhong
Ai, Yunlong
description The 0.65Ca0.61La0.26TiO3-0.35Sm(Mg0.5Ti0.5)O3[0.65CLT-0.35SMT] ceramic was prepared by the solid-state reaction method. The effects of sintering process on its microstructure and grain growth behavior were investigated. The Hillert model and a simplified Sellars model were established by linear regression, and the Sellars-Anelli model with a time index was established by using a nonlinear regression method. The results show that the grain size gradually increases with the increase of sintering temperature and holding time. Meanwhile, the sintering temperature has a more significant effect on the grain growth. The grain sizes of 0.65CLT-0.35SMT ceramic were predicted by the three models and compared with the experimentally measured grain size. The results indicate that for the 0.65CLT-0.35SMT ceramic, the Hillert model has the lowest prediction accuracy and the Sellars-Anelli model, the highest prediction accuracy. In this work, the Sellars-Anelli model can effectively predict the grain growth process of 0.65CLT-0.35SMT ceramic.
doi_str_mv 10.3390/ma13173905
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The effects of sintering process on its microstructure and grain growth behavior were investigated. The Hillert model and a simplified Sellars model were established by linear regression, and the Sellars-Anelli model with a time index was established by using a nonlinear regression method. The results show that the grain size gradually increases with the increase of sintering temperature and holding time. Meanwhile, the sintering temperature has a more significant effect on the grain growth. The grain sizes of 0.65CLT-0.35SMT ceramic were predicted by the three models and compared with the experimentally measured grain size. The results indicate that for the 0.65CLT-0.35SMT ceramic, the Hillert model has the lowest prediction accuracy and the Sellars-Anelli model, the highest prediction accuracy. In this work, the Sellars-Anelli model can effectively predict the grain growth process of 0.65CLT-0.35SMT ceramic.</description><identifier>ISSN: 1996-1944</identifier><identifier>EISSN: 1996-1944</identifier><identifier>DOI: 10.3390/ma13173905</identifier><identifier>PMID: 32899392</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Ceramics ; Dielectric properties ; Grain growth ; Grain size ; Growth models ; Kinetics ; Model accuracy ; Particle size ; Polyvinyl alcohol ; Reaction kinetics ; Regression models ; Sintering ; Temperature</subject><ispartof>Materials, 2020-09, Vol.13 (17), p.3905</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-f84733225df0b72e099e29e60f82f09d7739443c26a50e6f7c27a2c2433a27b33</citedby><cites>FETCH-LOGICAL-c383t-f84733225df0b72e099e29e60f82f09d7739443c26a50e6f7c27a2c2433a27b33</cites><orcidid>0000-0002-5845-0544</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504410/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504410/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Liu, Jin</creatorcontrib><creatorcontrib>Liang, Bingliang</creatorcontrib><creatorcontrib>Zhang, Jianjun</creatorcontrib><creatorcontrib>He, Wen</creatorcontrib><creatorcontrib>Ouyang, Sheng</creatorcontrib><creatorcontrib>Chen, Weihua</creatorcontrib><creatorcontrib>Liu, Changhong</creatorcontrib><creatorcontrib>Ai, Yunlong</creatorcontrib><title>Grain Growth Kinetics of 0.65Ca0.61La0.26TiO3-0.35Sm(Mg0.5Ti0.5)O3 Dielectric Ceramic</title><title>Materials</title><description>The 0.65Ca0.61La0.26TiO3-0.35Sm(Mg0.5Ti0.5)O3[0.65CLT-0.35SMT] ceramic was prepared by the solid-state reaction method. The effects of sintering process on its microstructure and grain growth behavior were investigated. The Hillert model and a simplified Sellars model were established by linear regression, and the Sellars-Anelli model with a time index was established by using a nonlinear regression method. The results show that the grain size gradually increases with the increase of sintering temperature and holding time. Meanwhile, the sintering temperature has a more significant effect on the grain growth. The grain sizes of 0.65CLT-0.35SMT ceramic were predicted by the three models and compared with the experimentally measured grain size. The results indicate that for the 0.65CLT-0.35SMT ceramic, the Hillert model has the lowest prediction accuracy and the Sellars-Anelli model, the highest prediction accuracy. In this work, the Sellars-Anelli model can effectively predict the grain growth process of 0.65CLT-0.35SMT ceramic.</description><subject>Ceramics</subject><subject>Dielectric properties</subject><subject>Grain growth</subject><subject>Grain size</subject><subject>Growth models</subject><subject>Kinetics</subject><subject>Model accuracy</subject><subject>Particle size</subject><subject>Polyvinyl alcohol</subject><subject>Reaction kinetics</subject><subject>Regression models</subject><subject>Sintering</subject><subject>Temperature</subject><issn>1996-1944</issn><issn>1996-1944</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU1LAzEQhoMottRe_AULXqqwNclsNpuLIKtWsdKD7TmkabZN2Y-abBX_vSktfs3hnYF5eGeGQeic4CGAwNeVIkB4qNgR6hIh0piIJDn-VXdQ3_s1DgFAMipOUQdoJgQI2kWzkVO2jkau-WhX0bOtTWu1j5oiwsOU5SooGQel6dROIA5D2Ws1eFniIZvaIJcTiO6sKY1undVRbpyqrD5DJ4Uqvekfcg_NHu6n-WM8noye8ttxrCGDNi6yhANQyhYFnnNqsBCGCpPiIqMFFgse7koS0DRVDJu04JpyRTVNABTlc4Aeutn7brbzyiy0qVunSrlxtlLuUzbKyr-d2q7ksnmXnOEkITgYDA4GrnnbGt_KynptylLVptl6SQNFecpFGtCLf-i62bo6nLejMGeCcRGoqz2lXeO9M8X3MgTL3cPkz8PgC7QjgEI</recordid><startdate>20200903</startdate><enddate>20200903</enddate><creator>Liu, Jin</creator><creator>Liang, Bingliang</creator><creator>Zhang, Jianjun</creator><creator>He, Wen</creator><creator>Ouyang, Sheng</creator><creator>Chen, Weihua</creator><creator>Liu, Changhong</creator><creator>Ai, Yunlong</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5845-0544</orcidid></search><sort><creationdate>20200903</creationdate><title>Grain Growth Kinetics of 0.65Ca0.61La0.26TiO3-0.35Sm(Mg0.5Ti0.5)O3 Dielectric Ceramic</title><author>Liu, Jin ; 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The effects of sintering process on its microstructure and grain growth behavior were investigated. The Hillert model and a simplified Sellars model were established by linear regression, and the Sellars-Anelli model with a time index was established by using a nonlinear regression method. The results show that the grain size gradually increases with the increase of sintering temperature and holding time. Meanwhile, the sintering temperature has a more significant effect on the grain growth. The grain sizes of 0.65CLT-0.35SMT ceramic were predicted by the three models and compared with the experimentally measured grain size. The results indicate that for the 0.65CLT-0.35SMT ceramic, the Hillert model has the lowest prediction accuracy and the Sellars-Anelli model, the highest prediction accuracy. 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source PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Ceramics
Dielectric properties
Grain growth
Grain size
Growth models
Kinetics
Model accuracy
Particle size
Polyvinyl alcohol
Reaction kinetics
Regression models
Sintering
Temperature
title Grain Growth Kinetics of 0.65Ca0.61La0.26TiO3-0.35Sm(Mg0.5Ti0.5)O3 Dielectric Ceramic
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