Selection of optimum parameter for compression testing based on design of experiments using Taguchi method
Optimizing parameters for effective operations are significant, for which several new technologies getting introduced in the production realm. This study considers one such problem to optimize the process parameter of compression testing based on design of experiments using well known, Taguchi metho...
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| Veröffentlicht in: | Annals of operations research 2021-09, Vol.304 (1-2), p.331-341 |
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| creator | Nagaraj, T. Rajkumar, M. Muralidharan, K. |
| description | Optimizing parameters for effective operations are significant, for which several new technologies getting introduced in the production realm. This study considers one such problem to optimize the process parameter of compression testing based on design of experiments using well known, Taguchi method. With the precision of process parameters, the effectiveness can be observed in material’s high strength and ductility. This research work considers Al2024 alloy for to explore the process parameters under the different temperature constraints which includes room temperature, elevated temperature (400
ο
C) and cryogenic temperature (−190
ο
C). This study considers Al2024 due to its wide successful applications on engineering functions. The other parameters which play a significant roles in this study includes thickness, cross sectional area, compressive load and compressive strength. Finally, this study concludes with the optimization of effective process parameters of Al2024 with the concerned of varied temperature owing to increase in its mechanical properties. |
| doi_str_mv | 10.1007/s10479-021-04170-5 |
| format | Article |
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ο
C) and cryogenic temperature (−190
ο
C). This study considers Al2024 due to its wide successful applications on engineering functions. The other parameters which play a significant roles in this study includes thickness, cross sectional area, compressive load and compressive strength. Finally, this study concludes with the optimization of effective process parameters of Al2024 with the concerned of varied temperature owing to increase in its mechanical properties.</description><identifier>ISSN: 0254-5330</identifier><identifier>EISSN: 1572-9338</identifier><identifier>DOI: 10.1007/s10479-021-04170-5</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aluminum alloys ; Business and Management ; Combinatorics ; Compression tests ; Compressive strength ; Cryogenic temperature ; Design of experiments ; Design optimization ; High temperature ; Mathematical optimization ; Mechanical properties ; New technology ; Operations research ; Operations Research/Decision Theory ; Original Research ; Process parameters ; Production processes ; Room temperature ; Taguchi methods ; Taguchi methods (Quality control) ; Theory of Computation</subject><ispartof>Annals of operations research, 2021-09, Vol.304 (1-2), p.331-341</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-a736f970f78798f2f34386a5b80626e275573f9aa53b6d9ceaf55894fb97b0493</citedby><cites>FETCH-LOGICAL-c423t-a736f970f78798f2f34386a5b80626e275573f9aa53b6d9ceaf55894fb97b0493</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/s10479-021-04170-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10479-021-04170-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Nagaraj, T.</creatorcontrib><creatorcontrib>Rajkumar, M.</creatorcontrib><creatorcontrib>Muralidharan, K.</creatorcontrib><title>Selection of optimum parameter for compression testing based on design of experiments using Taguchi method</title><title>Annals of operations research</title><addtitle>Ann Oper Res</addtitle><description>Optimizing parameters for effective operations are significant, for which several new technologies getting introduced in the production realm. This study considers one such problem to optimize the process parameter of compression testing based on design of experiments using well known, Taguchi method. With the precision of process parameters, the effectiveness can be observed in material’s high strength and ductility. This research work considers Al2024 alloy for to explore the process parameters under the different temperature constraints which includes room temperature, elevated temperature (400
ο
C) and cryogenic temperature (−190
ο
C). This study considers Al2024 due to its wide successful applications on engineering functions. The other parameters which play a significant roles in this study includes thickness, cross sectional area, compressive load and compressive strength. Finally, this study concludes with the optimization of effective process parameters of Al2024 with the concerned of varied temperature owing to increase in its mechanical properties.</description><subject>Aluminum alloys</subject><subject>Business and Management</subject><subject>Combinatorics</subject><subject>Compression tests</subject><subject>Compressive strength</subject><subject>Cryogenic temperature</subject><subject>Design of experiments</subject><subject>Design optimization</subject><subject>High temperature</subject><subject>Mathematical optimization</subject><subject>Mechanical properties</subject><subject>New technology</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Original Research</subject><subject>Process parameters</subject><subject>Production processes</subject><subject>Room temperature</subject><subject>Taguchi methods</subject><subject>Taguchi methods (Quality control)</subject><subject>Theory of Computation</subject><issn>0254-5330</issn><issn>1572-9338</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU1rHSEUhqU0kNs0fyArodtO6ueoyxDatBDIIulaHOc418udcaoz0P77OrmFNFCKC0Ge56jvi9AVJdeUEPWpUCKUaQijDRFUkUa-QTsqFWsM5_ot2hEmRSM5J-foXSkHQgilWu7Q4RGO4JeYJpwCTvMSx3XEs8tuhAUyDiljn8Y5QykbtEBZ4jTgzhXocT3oocThWYafM-Q4wrQUvJYNenLD6vcR11H71L9HZ8EdC1z-2S_Q9y-fn26_NvcPd99ub-4bLxhfGqd4G4wiQWlldGCBC65bJztNWtYCU1IqHoxzkndtbzy4IKU2InRGdUQYfoE-nObOOf1Y63vtIa15qldaVkktlGrFCzW4I9g4hbRk58dYvL1pFSVKa64rdf0Pqq4exujTBCHW81fCx7-EbsthS26qIe2XMri1lNc4O-E-p1IyBDvXCF3-ZSmxW7P21KytzdrnZq2sEj9JpcLTAPnlg_-xfgOHyaV-</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Nagaraj, T.</creator><creator>Rajkumar, M.</creator><creator>Muralidharan, K.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>3V.</scope><scope>7TA</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20210901</creationdate><title>Selection of optimum parameter for compression testing based on design of experiments using Taguchi method</title><author>Nagaraj, T. ; Rajkumar, M. ; Muralidharan, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-a736f970f78798f2f34386a5b80626e275573f9aa53b6d9ceaf55894fb97b0493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aluminum alloys</topic><topic>Business and Management</topic><topic>Combinatorics</topic><topic>Compression tests</topic><topic>Compressive strength</topic><topic>Cryogenic temperature</topic><topic>Design of experiments</topic><topic>Design optimization</topic><topic>High temperature</topic><topic>Mathematical optimization</topic><topic>Mechanical properties</topic><topic>New technology</topic><topic>Operations research</topic><topic>Operations Research/Decision Theory</topic><topic>Original Research</topic><topic>Process parameters</topic><topic>Production processes</topic><topic>Room temperature</topic><topic>Taguchi methods</topic><topic>Taguchi methods (Quality control)</topic><topic>Theory of Computation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nagaraj, T.</creatorcontrib><creatorcontrib>Rajkumar, M.</creatorcontrib><creatorcontrib>Muralidharan, K.</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>ProQuest Central (Corporate)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of operations research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nagaraj, T.</au><au>Rajkumar, M.</au><au>Muralidharan, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Selection of optimum parameter for compression testing based on design of experiments using Taguchi method</atitle><jtitle>Annals of operations research</jtitle><stitle>Ann Oper Res</stitle><date>2021-09-01</date><risdate>2021</risdate><volume>304</volume><issue>1-2</issue><spage>331</spage><epage>341</epage><pages>331-341</pages><issn>0254-5330</issn><eissn>1572-9338</eissn><abstract>Optimizing parameters for effective operations are significant, for which several new technologies getting introduced in the production realm. This study considers one such problem to optimize the process parameter of compression testing based on design of experiments using well known, Taguchi method. With the precision of process parameters, the effectiveness can be observed in material’s high strength and ductility. This research work considers Al2024 alloy for to explore the process parameters under the different temperature constraints which includes room temperature, elevated temperature (400
ο
C) and cryogenic temperature (−190
ο
C). This study considers Al2024 due to its wide successful applications on engineering functions. The other parameters which play a significant roles in this study includes thickness, cross sectional area, compressive load and compressive strength. Finally, this study concludes with the optimization of effective process parameters of Al2024 with the concerned of varied temperature owing to increase in its mechanical properties.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10479-021-04170-5</doi><tpages>11</tpages></addata></record> |
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| subjects | Aluminum alloys Business and Management Combinatorics Compression tests Compressive strength Cryogenic temperature Design of experiments Design optimization High temperature Mathematical optimization Mechanical properties New technology Operations research Operations Research/Decision Theory Original Research Process parameters Production processes Room temperature Taguchi methods Taguchi methods (Quality control) Theory of Computation |
| title | Selection of optimum parameter for compression testing based on design of experiments using Taguchi method |
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