Preparation and evaluation of self‐healing microcapsules for asphalt based on response surface optimization
The purpose of this study is to explore the best preparation process of asphalt self‐healing microcapsules. Response surface design and single factor design were used to optimize the preparation process parameters of asphalt self‐healing microcapsules, and the prediction model of core content was es...
Gespeichert in:
Veröffentlicht in: | Journal of applied polymer science 2022-01, Vol.139 (1), p.n/a |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | 1 |
container_start_page | |
container_title | Journal of applied polymer science |
container_volume | 139 |
creator | Li, Jia Ji, Xiaoping Tang, Zhennong Hu, Yonglin Hua, Wenlong |
description | The purpose of this study is to explore the best preparation process of asphalt self‐healing microcapsules. Response surface design and single factor design were used to optimize the preparation process parameters of asphalt self‐healing microcapsules, and the prediction model of core content was established. The optimal preparation process was determined. The results of response surface design showed that the interaction among emulsifier concentration/reaction temperature, core‐shell ratio/reaction temperature, and pH/reaction temperature had significant effect on the core content of microcapsules; the microcapsules prepared by the optimal process were spherical with an average particle size of 90.19 μm. The results of thermogravimetric analysis (TGA) and heating simulation test showed that the microcapsule can delay the damage of the core in high temperature environment; the results of nanoindentation test showed that the young's modulus and hardness of the microcapsules were about 2.50 and 0.28 GPa, respectively. Finally, the improvement mechanism of self‐healing performance of asphalt by microcapsules was revealed by fluorescence microscope. |
doi_str_mv | 10.1002/app.51430 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2575087264</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2575087264</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2970-327e154f7e28a947f70b43ecd0653ac9545a777f31843d022801f7337bff6e5a3</originalsourceid><addsrcrecordid>eNp1kMtOwzAQRS0EEqWw4A8ssWKR1o84TpZVxUuqRBewtqbJmKbKw9gJqKz4BL6RLyE0bFmNRnPuHd1LyCVnM86YmINzM8VjyY7IhLNMR3Ei0mMyGW48SrNMnZKzEHaMca5YMiH12qMDD13ZNhSaguIbVP24tpYGrOz359cWoSqbF1qXuW9zcKGvMFDbegrBbaHq6AYCFnQQeQyubQLS0HsLOdLWdWVdfhwsz8mJhSrgxd-ckufbm6flfbR6vHtYLlZRLjLNIik0chVbjSKFLNZWs00sMS9YoiTkmYoVaK2t5GksCyZEyrjVUuqNtQkqkFNyNfo63772GDqza3vfDC-NUFqxVIskHqjrkRpCheDRGufLGvzecGZ-2zRDm-bQ5sDOR_a9rHD_P2gW6_Wo-AFgwnhz</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2575087264</pqid></control><display><type>article</type><title>Preparation and evaluation of self‐healing microcapsules for asphalt based on response surface optimization</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Li, Jia ; Ji, Xiaoping ; Tang, Zhennong ; Hu, Yonglin ; Hua, Wenlong</creator><creatorcontrib>Li, Jia ; Ji, Xiaoping ; Tang, Zhennong ; Hu, Yonglin ; Hua, Wenlong</creatorcontrib><description>The purpose of this study is to explore the best preparation process of asphalt self‐healing microcapsules. Response surface design and single factor design were used to optimize the preparation process parameters of asphalt self‐healing microcapsules, and the prediction model of core content was established. The optimal preparation process was determined. The results of response surface design showed that the interaction among emulsifier concentration/reaction temperature, core‐shell ratio/reaction temperature, and pH/reaction temperature had significant effect on the core content of microcapsules; the microcapsules prepared by the optimal process were spherical with an average particle size of 90.19 μm. The results of thermogravimetric analysis (TGA) and heating simulation test showed that the microcapsule can delay the damage of the core in high temperature environment; the results of nanoindentation test showed that the young's modulus and hardness of the microcapsules were about 2.50 and 0.28 GPa, respectively. Finally, the improvement mechanism of self‐healing performance of asphalt by microcapsules was revealed by fluorescence microscope.</description><identifier>ISSN: 0021-8995</identifier><identifier>EISSN: 1097-4628</identifier><identifier>DOI: 10.1002/app.51430</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Asphalt ; Design factors ; Design optimization ; Fluorescence ; Healing ; High temperature environments ; in situ polymerization ; Materials science ; Modulus of elasticity ; Nanoindentation ; Polymers ; Prediction models ; Process parameters ; response surface design ; Response surface methodology ; self‐healing microcapsules ; Thermogravimetric analysis</subject><ispartof>Journal of applied polymer science, 2022-01, Vol.139 (1), p.n/a</ispartof><rights>2021 Wiley Periodicals LLC.</rights><rights>2022 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2970-327e154f7e28a947f70b43ecd0653ac9545a777f31843d022801f7337bff6e5a3</citedby><cites>FETCH-LOGICAL-c2970-327e154f7e28a947f70b43ecd0653ac9545a777f31843d022801f7337bff6e5a3</cites><orcidid>0000-0003-3832-6877</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fapp.51430$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fapp.51430$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27915,27916,45565,45566</link.rule.ids></links><search><creatorcontrib>Li, Jia</creatorcontrib><creatorcontrib>Ji, Xiaoping</creatorcontrib><creatorcontrib>Tang, Zhennong</creatorcontrib><creatorcontrib>Hu, Yonglin</creatorcontrib><creatorcontrib>Hua, Wenlong</creatorcontrib><title>Preparation and evaluation of self‐healing microcapsules for asphalt based on response surface optimization</title><title>Journal of applied polymer science</title><description>The purpose of this study is to explore the best preparation process of asphalt self‐healing microcapsules. Response surface design and single factor design were used to optimize the preparation process parameters of asphalt self‐healing microcapsules, and the prediction model of core content was established. The optimal preparation process was determined. The results of response surface design showed that the interaction among emulsifier concentration/reaction temperature, core‐shell ratio/reaction temperature, and pH/reaction temperature had significant effect on the core content of microcapsules; the microcapsules prepared by the optimal process were spherical with an average particle size of 90.19 μm. The results of thermogravimetric analysis (TGA) and heating simulation test showed that the microcapsule can delay the damage of the core in high temperature environment; the results of nanoindentation test showed that the young's modulus and hardness of the microcapsules were about 2.50 and 0.28 GPa, respectively. Finally, the improvement mechanism of self‐healing performance of asphalt by microcapsules was revealed by fluorescence microscope.</description><subject>Asphalt</subject><subject>Design factors</subject><subject>Design optimization</subject><subject>Fluorescence</subject><subject>Healing</subject><subject>High temperature environments</subject><subject>in situ polymerization</subject><subject>Materials science</subject><subject>Modulus of elasticity</subject><subject>Nanoindentation</subject><subject>Polymers</subject><subject>Prediction models</subject><subject>Process parameters</subject><subject>response surface design</subject><subject>Response surface methodology</subject><subject>self‐healing microcapsules</subject><subject>Thermogravimetric analysis</subject><issn>0021-8995</issn><issn>1097-4628</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kMtOwzAQRS0EEqWw4A8ssWKR1o84TpZVxUuqRBewtqbJmKbKw9gJqKz4BL6RLyE0bFmNRnPuHd1LyCVnM86YmINzM8VjyY7IhLNMR3Ei0mMyGW48SrNMnZKzEHaMca5YMiH12qMDD13ZNhSaguIbVP24tpYGrOz359cWoSqbF1qXuW9zcKGvMFDbegrBbaHq6AYCFnQQeQyubQLS0HsLOdLWdWVdfhwsz8mJhSrgxd-ckufbm6flfbR6vHtYLlZRLjLNIik0chVbjSKFLNZWs00sMS9YoiTkmYoVaK2t5GksCyZEyrjVUuqNtQkqkFNyNfo63772GDqza3vfDC-NUFqxVIskHqjrkRpCheDRGufLGvzecGZ-2zRDm-bQ5sDOR_a9rHD_P2gW6_Wo-AFgwnhz</recordid><startdate>20220105</startdate><enddate>20220105</enddate><creator>Li, Jia</creator><creator>Ji, Xiaoping</creator><creator>Tang, Zhennong</creator><creator>Hu, Yonglin</creator><creator>Hua, Wenlong</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0003-3832-6877</orcidid></search><sort><creationdate>20220105</creationdate><title>Preparation and evaluation of self‐healing microcapsules for asphalt based on response surface optimization</title><author>Li, Jia ; Ji, Xiaoping ; Tang, Zhennong ; Hu, Yonglin ; Hua, Wenlong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2970-327e154f7e28a947f70b43ecd0653ac9545a777f31843d022801f7337bff6e5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Asphalt</topic><topic>Design factors</topic><topic>Design optimization</topic><topic>Fluorescence</topic><topic>Healing</topic><topic>High temperature environments</topic><topic>in situ polymerization</topic><topic>Materials science</topic><topic>Modulus of elasticity</topic><topic>Nanoindentation</topic><topic>Polymers</topic><topic>Prediction models</topic><topic>Process parameters</topic><topic>response surface design</topic><topic>Response surface methodology</topic><topic>self‐healing microcapsules</topic><topic>Thermogravimetric analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jia</creatorcontrib><creatorcontrib>Ji, Xiaoping</creatorcontrib><creatorcontrib>Tang, Zhennong</creatorcontrib><creatorcontrib>Hu, Yonglin</creatorcontrib><creatorcontrib>Hua, Wenlong</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Journal of applied polymer science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jia</au><au>Ji, Xiaoping</au><au>Tang, Zhennong</au><au>Hu, Yonglin</au><au>Hua, Wenlong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preparation and evaluation of self‐healing microcapsules for asphalt based on response surface optimization</atitle><jtitle>Journal of applied polymer science</jtitle><date>2022-01-05</date><risdate>2022</risdate><volume>139</volume><issue>1</issue><epage>n/a</epage><issn>0021-8995</issn><eissn>1097-4628</eissn><abstract>The purpose of this study is to explore the best preparation process of asphalt self‐healing microcapsules. Response surface design and single factor design were used to optimize the preparation process parameters of asphalt self‐healing microcapsules, and the prediction model of core content was established. The optimal preparation process was determined. The results of response surface design showed that the interaction among emulsifier concentration/reaction temperature, core‐shell ratio/reaction temperature, and pH/reaction temperature had significant effect on the core content of microcapsules; the microcapsules prepared by the optimal process were spherical with an average particle size of 90.19 μm. The results of thermogravimetric analysis (TGA) and heating simulation test showed that the microcapsule can delay the damage of the core in high temperature environment; the results of nanoindentation test showed that the young's modulus and hardness of the microcapsules were about 2.50 and 0.28 GPa, respectively. Finally, the improvement mechanism of self‐healing performance of asphalt by microcapsules was revealed by fluorescence microscope.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/app.51430</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-3832-6877</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0021-8995 |
ispartof | Journal of applied polymer science, 2022-01, Vol.139 (1), p.n/a |
issn | 0021-8995 1097-4628 |
language | eng |
recordid | cdi_proquest_journals_2575087264 |
source | Wiley Online Library Journals Frontfile Complete |
subjects | Asphalt Design factors Design optimization Fluorescence Healing High temperature environments in situ polymerization Materials science Modulus of elasticity Nanoindentation Polymers Prediction models Process parameters response surface design Response surface methodology self‐healing microcapsules Thermogravimetric analysis |
title | Preparation and evaluation of self‐healing microcapsules for asphalt based on response surface optimization |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T01%3A11%3A14IST&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=Preparation%20and%20evaluation%20of%20self%E2%80%90healing%20microcapsules%20for%20asphalt%20based%20on%20response%20surface%20optimization&rft.jtitle=Journal%20of%20applied%20polymer%20science&rft.au=Li,%20Jia&rft.date=2022-01-05&rft.volume=139&rft.issue=1&rft.epage=n/a&rft.issn=0021-8995&rft.eissn=1097-4628&rft_id=info:doi/10.1002/app.51430&rft_dat=%3Cproquest_cross%3E2575087264%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=2575087264&rft_id=info:pmid/&rfr_iscdi=true |