Simultaneous optimization of the vulcanization characteristics and mechanical properties of chloroprene and natural rubber blend by response surface methodology
Chloroprene rubber (CR) is an expensive and frequently used material in many industries. Thus, a blend of natural rubber (NR) and CR can be used to balance cost and product performance. In this research, the primary objective is to achieve the ideal blend of CR/NR rubber for automotive industry by s...
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Veröffentlicht in: | Polymer bulletin (Berlin, Germany) Germany), 2024-09, Vol.81 (14), p.12691-12714 |
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description | Chloroprene rubber (CR) is an expensive and frequently used material in many industries. Thus, a blend of natural rubber (NR) and CR can be used to balance cost and product performance. In this research, the primary objective is to achieve the ideal blend of CR/NR rubber for automotive industry by simultaneously optimizing various response variables, including hardness, tensile strength (TS), vulcanization index (CRI), torque difference and Tan δ. This optimization process is carried out using response surface methodology (RSM) and desirability functions. The study delves into examining the influence of accelerators, retarders, curatives, and the ratio of NR in the final batch on both curing characteristics and mechanical properties. The investigation is conducted through the application of analysis of variance (ANOVA) and linear/nonlinear regression models with the assistance of Design Expert 11. When the quantities of the fillers, TMTM80, DP80, S80, and CTPI80, are at their optimum levels of 1.08, 1.78, 3.5, and 0.96 PHR, respectively, and the NR ratio in the final masterbatch is around 27%, the estimated values for Tan
δ
, hardness, and TS are approximately 0.144, 55.183 Shore A, and 21.085 MPa, respectively. The observations from the validation experiments align with the predicted outcomes, as all response variables fall within the 95% prediction interval. It is noteworthy to mention that prior research has not attempted simultaneous optimization for CR/NR blend, incorporating these fillers. |
doi_str_mv | 10.1007/s00289-024-05309-7 |
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δ
, hardness, and TS are approximately 0.144, 55.183 Shore A, and 21.085 MPa, respectively. The observations from the validation experiments align with the predicted outcomes, as all response variables fall within the 95% prediction interval. It is noteworthy to mention that prior research has not attempted simultaneous optimization for CR/NR blend, incorporating these fillers.</description><identifier>ISSN: 0170-0839</identifier><identifier>EISSN: 1436-2449</identifier><identifier>DOI: 10.1007/s00289-024-05309-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Carbon black ; Characterization and Evaluation of Materials ; Chemistry ; Chemistry and Materials Science ; Complex Fluids and Microfluidics ; Composite materials ; Curing ; Fillers ; Hardness ; High density polyethylenes ; Impact strength ; Mechanical properties ; Nanocomposites ; Natural rubber ; Optimization ; Optimization techniques ; Organic Chemistry ; Original Paper ; Physical Chemistry ; Polymer Sciences ; Polymers ; Predictions ; Regression models ; Response surface methodology ; Retarders ; Rubber ; Soft and Granular Matter ; Statistical methods ; Sulfur ; Tensile strength ; Variables ; Variance analysis ; Vulcanization</subject><ispartof>Polymer bulletin (Berlin, Germany), 2024-09, Vol.81 (14), p.12691-12714</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-b7b2df5f23b8d32655528ff93e702438bb3100686c1285d7b1ebcd1908a2d2b23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00289-024-05309-7$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00289-024-05309-7$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids></links><search><creatorcontrib>Aktar Demirtas, Ezgi</creatorcontrib><creatorcontrib>Goksuzoglu, Mert</creatorcontrib><creatorcontrib>Karadeniz, Yesim</creatorcontrib><title>Simultaneous optimization of the vulcanization characteristics and mechanical properties of chloroprene and natural rubber blend by response surface methodology</title><title>Polymer bulletin (Berlin, Germany)</title><addtitle>Polym. Bull</addtitle><description>Chloroprene rubber (CR) is an expensive and frequently used material in many industries. Thus, a blend of natural rubber (NR) and CR can be used to balance cost and product performance. In this research, the primary objective is to achieve the ideal blend of CR/NR rubber for automotive industry by simultaneously optimizing various response variables, including hardness, tensile strength (TS), vulcanization index (CRI), torque difference and Tan δ. This optimization process is carried out using response surface methodology (RSM) and desirability functions. The study delves into examining the influence of accelerators, retarders, curatives, and the ratio of NR in the final batch on both curing characteristics and mechanical properties. The investigation is conducted through the application of analysis of variance (ANOVA) and linear/nonlinear regression models with the assistance of Design Expert 11. When the quantities of the fillers, TMTM80, DP80, S80, and CTPI80, are at their optimum levels of 1.08, 1.78, 3.5, and 0.96 PHR, respectively, and the NR ratio in the final masterbatch is around 27%, the estimated values for Tan
δ
, hardness, and TS are approximately 0.144, 55.183 Shore A, and 21.085 MPa, respectively. The observations from the validation experiments align with the predicted outcomes, as all response variables fall within the 95% prediction interval. It is noteworthy to mention that prior research has not attempted simultaneous optimization for CR/NR blend, incorporating these fillers.</description><subject>Carbon black</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Complex Fluids and Microfluidics</subject><subject>Composite materials</subject><subject>Curing</subject><subject>Fillers</subject><subject>Hardness</subject><subject>High density polyethylenes</subject><subject>Impact strength</subject><subject>Mechanical properties</subject><subject>Nanocomposites</subject><subject>Natural rubber</subject><subject>Optimization</subject><subject>Optimization techniques</subject><subject>Organic Chemistry</subject><subject>Original Paper</subject><subject>Physical Chemistry</subject><subject>Polymer Sciences</subject><subject>Polymers</subject><subject>Predictions</subject><subject>Regression models</subject><subject>Response surface methodology</subject><subject>Retarders</subject><subject>Rubber</subject><subject>Soft and Granular Matter</subject><subject>Statistical methods</subject><subject>Sulfur</subject><subject>Tensile strength</subject><subject>Variables</subject><subject>Variance analysis</subject><subject>Vulcanization</subject><issn>0170-0839</issn><issn>1436-2449</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9UctKxDAUDaLg-PgBVwHX1Tzapl3K4AsEF-o6JOntNNJJapIK49f4qcYZxZ2ryz2ccy73HITOKLmghIjLSAhr2oKwsiAVJ20h9tCClrwuWFm2-2hBqCAFaXh7iI5ifCV5r2u6QJ9Pdj2PSTnwc8R-SnZtP1Sy3mHf4zQAfp9Ho9wvaAYVlEkQbEzWRKxch9eQUWeNGvEU_AQhWYjfcjOMPgMBHGyJTqU5ZFaYtYaA9QgZ1BscIE7eRcBxDr0ykB3T4Ds_-tXmBB30aoxw-jOP0cvN9fPyrnh4vL1fXj0UhtMyFVpo1vVVz7huOs7qqqpY0_ctB5FD4Y3WPAdVN7WhrKk6oSlo09GWNIp1TDN-jM53vvmFtxlikq9-Di6flDnPSrSkFiSz2I5lgo8xQC-nYNcqbCQl8rsJuWtC5qNy24QUWcR3opjJbgXhz_of1RfmzJCw</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Aktar Demirtas, Ezgi</creator><creator>Goksuzoglu, Mert</creator><creator>Karadeniz, Yesim</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20240901</creationdate><title>Simultaneous optimization of the vulcanization characteristics and mechanical properties of chloroprene and natural rubber blend by response surface methodology</title><author>Aktar Demirtas, Ezgi ; Goksuzoglu, Mert ; Karadeniz, Yesim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-b7b2df5f23b8d32655528ff93e702438bb3100686c1285d7b1ebcd1908a2d2b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Carbon black</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Complex Fluids and Microfluidics</topic><topic>Composite materials</topic><topic>Curing</topic><topic>Fillers</topic><topic>Hardness</topic><topic>High density polyethylenes</topic><topic>Impact strength</topic><topic>Mechanical properties</topic><topic>Nanocomposites</topic><topic>Natural rubber</topic><topic>Optimization</topic><topic>Optimization techniques</topic><topic>Organic Chemistry</topic><topic>Original Paper</topic><topic>Physical Chemistry</topic><topic>Polymer Sciences</topic><topic>Polymers</topic><topic>Predictions</topic><topic>Regression models</topic><topic>Response surface methodology</topic><topic>Retarders</topic><topic>Rubber</topic><topic>Soft and Granular Matter</topic><topic>Statistical methods</topic><topic>Sulfur</topic><topic>Tensile strength</topic><topic>Variables</topic><topic>Variance analysis</topic><topic>Vulcanization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aktar Demirtas, Ezgi</creatorcontrib><creatorcontrib>Goksuzoglu, Mert</creatorcontrib><creatorcontrib>Karadeniz, Yesim</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><jtitle>Polymer bulletin (Berlin, Germany)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aktar Demirtas, Ezgi</au><au>Goksuzoglu, Mert</au><au>Karadeniz, Yesim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simultaneous optimization of the vulcanization characteristics and mechanical properties of chloroprene and natural rubber blend by response surface methodology</atitle><jtitle>Polymer bulletin (Berlin, Germany)</jtitle><stitle>Polym. Bull</stitle><date>2024-09-01</date><risdate>2024</risdate><volume>81</volume><issue>14</issue><spage>12691</spage><epage>12714</epage><pages>12691-12714</pages><issn>0170-0839</issn><eissn>1436-2449</eissn><abstract>Chloroprene rubber (CR) is an expensive and frequently used material in many industries. Thus, a blend of natural rubber (NR) and CR can be used to balance cost and product performance. In this research, the primary objective is to achieve the ideal blend of CR/NR rubber for automotive industry by simultaneously optimizing various response variables, including hardness, tensile strength (TS), vulcanization index (CRI), torque difference and Tan δ. This optimization process is carried out using response surface methodology (RSM) and desirability functions. The study delves into examining the influence of accelerators, retarders, curatives, and the ratio of NR in the final batch on both curing characteristics and mechanical properties. The investigation is conducted through the application of analysis of variance (ANOVA) and linear/nonlinear regression models with the assistance of Design Expert 11. When the quantities of the fillers, TMTM80, DP80, S80, and CTPI80, are at their optimum levels of 1.08, 1.78, 3.5, and 0.96 PHR, respectively, and the NR ratio in the final masterbatch is around 27%, the estimated values for Tan
δ
, hardness, and TS are approximately 0.144, 55.183 Shore A, and 21.085 MPa, respectively. The observations from the validation experiments align with the predicted outcomes, as all response variables fall within the 95% prediction interval. It is noteworthy to mention that prior research has not attempted simultaneous optimization for CR/NR blend, incorporating these fillers.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00289-024-05309-7</doi><tpages>24</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Carbon black Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science Complex Fluids and Microfluidics Composite materials Curing Fillers Hardness High density polyethylenes Impact strength Mechanical properties Nanocomposites Natural rubber Optimization Optimization techniques Organic Chemistry Original Paper Physical Chemistry Polymer Sciences Polymers Predictions Regression models Response surface methodology Retarders Rubber Soft and Granular Matter Statistical methods Sulfur Tensile strength Variables Variance analysis Vulcanization |
title | Simultaneous optimization of the vulcanization characteristics and mechanical properties of chloroprene and natural rubber blend by response surface methodology |
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