The effect of multiple variables on tensile property of injection-molded polypropylene through the combination of orthogonal design and variance analysis
In this article, a combination of orthogonal design and variance analysis was used to study the systematical effect of vibration pressure, melt temperature, packing cycle, and mold temperature on the tensile property of polypropylene in dynamic packing injection molding (DPIM). The tensile measureme...
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Veröffentlicht in: | Journal of applied polymer science 2013-01, Vol.127 (2), p.1198-1202 |
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description | In this article, a combination of orthogonal design and variance analysis was used to study the systematical effect of vibration pressure, melt temperature, packing cycle, and mold temperature on the tensile property of polypropylene in dynamic packing injection molding (DPIM). The tensile measurement results show that all variables had significant influence on the final tensile property under the present molding condition. Meanwhile, the optimal molding condition to achieve high tensile strength was also obtained in the investigated ranges. Further quantitative statistical analysis revealed the degree of influence of four variables on the tensile property of polypropylene in DPIM. The sequence of the degree of influence from maximum to minimum is as follow: vibration pressure, melt temperature, packing cycle, and mold temperature. These findings provide the experimental and statistical evidences to illustrate that the application of orthogonal design and variance analysis might be an effective approach to systematically study the effect of multiple variables on the final mechanical property. © 2012 Wiley Periodicals, Inc. J. Appl. Polym. Sci., 2013 |
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The tensile measurement results show that all variables had significant influence on the final tensile property under the present molding condition. Meanwhile, the optimal molding condition to achieve high tensile strength was also obtained in the investigated ranges. Further quantitative statistical analysis revealed the degree of influence of four variables on the tensile property of polypropylene in DPIM. The sequence of the degree of influence from maximum to minimum is as follow: vibration pressure, melt temperature, packing cycle, and mold temperature. These findings provide the experimental and statistical evidences to illustrate that the application of orthogonal design and variance analysis might be an effective approach to systematically study the effect of multiple variables on the final mechanical property. © 2012 Wiley Periodicals, Inc. J. Appl. Polym. 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Appl. Polym. Sci</addtitle><description>In this article, a combination of orthogonal design and variance analysis was used to study the systematical effect of vibration pressure, melt temperature, packing cycle, and mold temperature on the tensile property of polypropylene in dynamic packing injection molding (DPIM). The tensile measurement results show that all variables had significant influence on the final tensile property under the present molding condition. Meanwhile, the optimal molding condition to achieve high tensile strength was also obtained in the investigated ranges. Further quantitative statistical analysis revealed the degree of influence of four variables on the tensile property of polypropylene in DPIM. The sequence of the degree of influence from maximum to minimum is as follow: vibration pressure, melt temperature, packing cycle, and mold temperature. These findings provide the experimental and statistical evidences to illustrate that the application of orthogonal design and variance analysis might be an effective approach to systematically study the effect of multiple variables on the final mechanical property. © 2012 Wiley Periodicals, Inc. J. Appl. Polym. Sci., 2013</description><subject>Applied sciences</subject><subject>calculations</subject><subject>Design engineering</subject><subject>Exact sciences and technology</subject><subject>Injection molding</subject><subject>Injection moulding</subject><subject>Machinery and processing</subject><subject>Materials science</subject><subject>mechanical properties</subject><subject>Melt temperature</subject><subject>Molds</subject><subject>Moulding</subject><subject>Plastics</subject><subject>Polymer industry, paints, wood</subject><subject>Polymers</subject><subject>polyolefin</subject><subject>Polypropylenes</subject><subject>processing</subject><subject>shear</subject><subject>Technology of polymers</subject><subject>Tensile properties</subject><subject>Variance</subject><subject>Vibration</subject><issn>0021-8995</issn><issn>1097-4628</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp1kcFu1DAQhiMEEkvhwBtYQkhwSGvHjhMfS0VbpAoqUVSJi-XY410vXjvYWUoehbfFS0oPSJxGM_7-36P5q-olwccE4-ZEjeMx7TgRj6oVwaKrGW_6x9WqvJG6F6J9Wj3LeYsxIS3mq-rXzQYQWAt6QtGi3d5PbvSAfqjk1OAhoxjQBCG7MhxTHCFN84F0YVs0LoZ6F70Bg8bo5wMwewiApk2K-_WmVEA67gYX1AE-KGOaNnEdg_LIQHbrgFQwy4dBQ2mUn7PLz6snVvkML-7rUfXl_P3N2WV99eniw9npVa2p6EVtiGKGK2MMIQPwnjHa04EbqoQVXWdAc9CtHUxj8UBxA62hQndMGGYt1oQeVW8W37L89z3kSe5c1uC9ChD3WRJGRcebcsyCvvoH3cZ9KvsWirYtJoz1rFBvF0qnmHMCK8fkdirNkmB5CEmWkOSfkAr7-t5RZa28TeUELj8IGi5IK1peuJOFuys5zP83lKfX13-d60Xh8gQ_HxQqfZO8o10rbz9eyP7r7eeGXWL5jv4Gjx2zvw</recordid><startdate>20130115</startdate><enddate>20130115</enddate><creator>Hu, Juan</creator><creator>Gao, Xueqin</creator><creator>Chen, Zhanchun</creator><creator>Shen, Kaizhi</creator><creator>Deng, Cong</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20130115</creationdate><title>The effect of multiple variables on tensile property of injection-molded polypropylene through the combination of orthogonal design and variance analysis</title><author>Hu, Juan ; Gao, Xueqin ; Chen, Zhanchun ; Shen, Kaizhi ; Deng, Cong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3989-d1a4d6addd11be6844383b6d3a9f977dec6ec5fbd2f0b302e5d39c749d4ff0c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>calculations</topic><topic>Design engineering</topic><topic>Exact sciences and technology</topic><topic>Injection molding</topic><topic>Injection moulding</topic><topic>Machinery and processing</topic><topic>Materials science</topic><topic>mechanical properties</topic><topic>Melt temperature</topic><topic>Molds</topic><topic>Moulding</topic><topic>Plastics</topic><topic>Polymer industry, paints, wood</topic><topic>Polymers</topic><topic>polyolefin</topic><topic>Polypropylenes</topic><topic>processing</topic><topic>shear</topic><topic>Technology of polymers</topic><topic>Tensile properties</topic><topic>Variance</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Juan</creatorcontrib><creatorcontrib>Gao, Xueqin</creatorcontrib><creatorcontrib>Chen, Zhanchun</creatorcontrib><creatorcontrib>Shen, Kaizhi</creatorcontrib><creatorcontrib>Deng, Cong</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><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>Hu, Juan</au><au>Gao, Xueqin</au><au>Chen, Zhanchun</au><au>Shen, Kaizhi</au><au>Deng, Cong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The effect of multiple variables on tensile property of injection-molded polypropylene through the combination of orthogonal design and variance analysis</atitle><jtitle>Journal of applied polymer science</jtitle><addtitle>J. Appl. Polym. Sci</addtitle><date>2013-01-15</date><risdate>2013</risdate><volume>127</volume><issue>2</issue><spage>1198</spage><epage>1202</epage><pages>1198-1202</pages><issn>0021-8995</issn><eissn>1097-4628</eissn><coden>JAPNAB</coden><abstract>In this article, a combination of orthogonal design and variance analysis was used to study the systematical effect of vibration pressure, melt temperature, packing cycle, and mold temperature on the tensile property of polypropylene in dynamic packing injection molding (DPIM). The tensile measurement results show that all variables had significant influence on the final tensile property under the present molding condition. Meanwhile, the optimal molding condition to achieve high tensile strength was also obtained in the investigated ranges. Further quantitative statistical analysis revealed the degree of influence of four variables on the tensile property of polypropylene in DPIM. The sequence of the degree of influence from maximum to minimum is as follow: vibration pressure, melt temperature, packing cycle, and mold temperature. These findings provide the experimental and statistical evidences to illustrate that the application of orthogonal design and variance analysis might be an effective approach to systematically study the effect of multiple variables on the final mechanical property. © 2012 Wiley Periodicals, Inc. J. Appl. Polym. Sci., 2013</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><doi>10.1002/app.37619</doi><tpages>5</tpages></addata></record> |
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subjects | Applied sciences calculations Design engineering Exact sciences and technology Injection molding Injection moulding Machinery and processing Materials science mechanical properties Melt temperature Molds Moulding Plastics Polymer industry, paints, wood Polymers polyolefin Polypropylenes processing shear Technology of polymers Tensile properties Variance Vibration |
title | The effect of multiple variables on tensile property of injection-molded polypropylene through the combination of orthogonal design and variance analysis |
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