Multi-Response Optimization and Surface Integrity Characteristics of Wire Electric Discharge Machining α-Phase Ti-6242 Alloy
The current research aims to optimize wire electric discharge machining parameters with multi-objectives while machining contemporary titanium alloy. Wire electric discharge machining analysis was conducted by varying the key machining parameters, viz. pulse ON time, pulse OFF time, voltage and wire...
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Veröffentlicht in: | Process integration and optimization for sustainability 2021-12, Vol.5 (4), p.815-826 |
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description | The current research aims to optimize wire electric discharge machining parameters with multi-objectives while machining contemporary titanium alloy. Wire electric discharge machining analysis was conducted by varying the key machining parameters, viz. pulse ON time, pulse OFF time, voltage and wire feed rate. Based on preferred parameters, Taguchi orthogonal array is designed and the optimal parameter combination for minimal surface roughness and material removal rate is identified. Results reveal that material removal rate increases with increase in pulse ON time and surface roughness found to be minimized with increase voltage and wire feed rate. Multi-objective optimization was carried through Technique for Order of Preference by Similarity to Ideal Solution methodology that helps in attaining optimal combination that results in maximum material removal rate (2.84 mm
3
/min) and minimum surface roughness (2.43 μm). Traces of deterioration and deep crater were observed over the machined surface when machining parameters like voltage and pulse ON time are high. |
doi_str_mv | 10.1007/s41660-021-00179-2 |
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3
/min) and minimum surface roughness (2.43 μm). Traces of deterioration and deep crater were observed over the machined surface when machining parameters like voltage and pulse ON time are high.</description><identifier>ISSN: 2509-4238</identifier><identifier>EISSN: 2509-4246</identifier><identifier>DOI: 10.1007/s41660-021-00179-2</identifier><language>eng</language><publisher>Singapore: Springer Singapore</publisher><subject>Corrosion resistance ; Economics and Management ; Electric discharge machining ; Electric potential ; Electrodes ; Energy Policy ; Engineering ; Feed rate ; Genetic algorithms ; Heat conductivity ; Industrial and Production Engineering ; Industrial Chemistry/Chemical Engineering ; Material removal rate (machining) ; Minimal surfaces ; Multiple objective analysis ; Optimization ; Optimization techniques ; Original Research Paper ; Orthogonal arrays ; Parameter identification ; Process parameters ; Surface roughness ; Sustainable Development ; Taguchi methods ; Titanium alloys ; Titanium base alloys ; Voltage ; Waste Management/Waste Technology ; Wire</subject><ispartof>Process integration and optimization for sustainability, 2021-12, Vol.5 (4), p.815-826</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-5441b750d105e3ec8948e38a0eee93f0c2c02541b1eebf4a41298981c2edee493</citedby><cites>FETCH-LOGICAL-c319t-5441b750d105e3ec8948e38a0eee93f0c2c02541b1eebf4a41298981c2edee493</cites><orcidid>0000-0001-8385-0884</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s41660-021-00179-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2933332382?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,781,785,21393,27929,27930,33749,41493,42562,43810,51324,64390,64394,72474</link.rule.ids></links><search><creatorcontrib>R, Prasanna</creatorcontrib><creatorcontrib>V, Kavimani</creatorcontrib><creatorcontrib>P.M, Gopal</creatorcontrib><creatorcontrib>D, Simson</creatorcontrib><title>Multi-Response Optimization and Surface Integrity Characteristics of Wire Electric Discharge Machining α-Phase Ti-6242 Alloy</title><title>Process integration and optimization for sustainability</title><addtitle>Process Integr Optim Sustain</addtitle><description>The current research aims to optimize wire electric discharge machining parameters with multi-objectives while machining contemporary titanium alloy. Wire electric discharge machining analysis was conducted by varying the key machining parameters, viz. pulse ON time, pulse OFF time, voltage and wire feed rate. Based on preferred parameters, Taguchi orthogonal array is designed and the optimal parameter combination for minimal surface roughness and material removal rate is identified. Results reveal that material removal rate increases with increase in pulse ON time and surface roughness found to be minimized with increase voltage and wire feed rate. Multi-objective optimization was carried through Technique for Order of Preference by Similarity to Ideal Solution methodology that helps in attaining optimal combination that results in maximum material removal rate (2.84 mm
3
/min) and minimum surface roughness (2.43 μm). Traces of deterioration and deep crater were observed over the machined surface when machining parameters like voltage and pulse ON time are high.</description><subject>Corrosion resistance</subject><subject>Economics and Management</subject><subject>Electric discharge machining</subject><subject>Electric potential</subject><subject>Electrodes</subject><subject>Energy Policy</subject><subject>Engineering</subject><subject>Feed rate</subject><subject>Genetic algorithms</subject><subject>Heat conductivity</subject><subject>Industrial and Production Engineering</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Material removal rate (machining)</subject><subject>Minimal surfaces</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Optimization techniques</subject><subject>Original Research Paper</subject><subject>Orthogonal arrays</subject><subject>Parameter identification</subject><subject>Process parameters</subject><subject>Surface roughness</subject><subject>Sustainable Development</subject><subject>Taguchi methods</subject><subject>Titanium alloys</subject><subject>Titanium base alloys</subject><subject>Voltage</subject><subject>Waste Management/Waste Technology</subject><subject>Wire</subject><issn>2509-4238</issn><issn>2509-4246</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM9OAjEQhzdGEwn6Ap6aeK5O_yxsjwRRSSAYxXhsSpmFkmUX23LAxIfyRXwmixi9OZeZw_f7TfJl2QWDKwbQvQ6SdTpAgTMKwLqK8qOsxXNQVHLZOf69RXGanYewAgDeFbIA2crex9sqOvqIYdPUAclkE93avZnompqYek6etr40FsmwjrjwLu5If2m8sRG9C9HZQJqSvDiPZFChjd5ZcuOCTcwCydjYpatdvSCfH_RhadKDqaMdLjnpVVWzO8tOSlMFPP_Z7ez5djDt39PR5G7Y742oFUxFmkvJZt0c5gxyFGgLJQsUhQFEVKIEyy3wPDEMcVZKIxlXhSqY5ThHlEq0s8tD78Y3r1sMUa-ara_TS82VSJPc8ETxA2V9E4LHUm-8Wxu_0wz03rQ-mNbJtP42rfchcQiFBNcL9H_V_6S-AN65gas</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>R, Prasanna</creator><creator>V, Kavimani</creator><creator>P.M, Gopal</creator><creator>D, Simson</creator><general>Springer Singapore</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0001-8385-0884</orcidid></search><sort><creationdate>20211201</creationdate><title>Multi-Response Optimization and Surface Integrity Characteristics of Wire Electric Discharge Machining α-Phase Ti-6242 Alloy</title><author>R, Prasanna ; V, Kavimani ; P.M, Gopal ; D, Simson</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-5441b750d105e3ec8948e38a0eee93f0c2c02541b1eebf4a41298981c2edee493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Corrosion resistance</topic><topic>Economics and Management</topic><topic>Electric discharge machining</topic><topic>Electric potential</topic><topic>Electrodes</topic><topic>Energy Policy</topic><topic>Engineering</topic><topic>Feed rate</topic><topic>Genetic algorithms</topic><topic>Heat conductivity</topic><topic>Industrial and Production Engineering</topic><topic>Industrial Chemistry/Chemical Engineering</topic><topic>Material removal rate (machining)</topic><topic>Minimal surfaces</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Optimization techniques</topic><topic>Original Research Paper</topic><topic>Orthogonal arrays</topic><topic>Parameter identification</topic><topic>Process parameters</topic><topic>Surface roughness</topic><topic>Sustainable Development</topic><topic>Taguchi methods</topic><topic>Titanium alloys</topic><topic>Titanium base alloys</topic><topic>Voltage</topic><topic>Waste Management/Waste Technology</topic><topic>Wire</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>R, Prasanna</creatorcontrib><creatorcontrib>V, Kavimani</creatorcontrib><creatorcontrib>P.M, Gopal</creatorcontrib><creatorcontrib>D, Simson</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</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>Environmental Science Collection</collection><jtitle>Process integration and optimization for sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>R, Prasanna</au><au>V, Kavimani</au><au>P.M, Gopal</au><au>D, Simson</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-Response Optimization and Surface Integrity Characteristics of Wire Electric Discharge Machining α-Phase Ti-6242 Alloy</atitle><jtitle>Process integration and optimization for sustainability</jtitle><stitle>Process Integr Optim Sustain</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>5</volume><issue>4</issue><spage>815</spage><epage>826</epage><pages>815-826</pages><issn>2509-4238</issn><eissn>2509-4246</eissn><abstract>The current research aims to optimize wire electric discharge machining parameters with multi-objectives while machining contemporary titanium alloy. Wire electric discharge machining analysis was conducted by varying the key machining parameters, viz. pulse ON time, pulse OFF time, voltage and wire feed rate. Based on preferred parameters, Taguchi orthogonal array is designed and the optimal parameter combination for minimal surface roughness and material removal rate is identified. Results reveal that material removal rate increases with increase in pulse ON time and surface roughness found to be minimized with increase voltage and wire feed rate. Multi-objective optimization was carried through Technique for Order of Preference by Similarity to Ideal Solution methodology that helps in attaining optimal combination that results in maximum material removal rate (2.84 mm
3
/min) and minimum surface roughness (2.43 μm). Traces of deterioration and deep crater were observed over the machined surface when machining parameters like voltage and pulse ON time are high.</abstract><cop>Singapore</cop><pub>Springer Singapore</pub><doi>10.1007/s41660-021-00179-2</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8385-0884</orcidid></addata></record> |
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subjects | Corrosion resistance Economics and Management Electric discharge machining Electric potential Electrodes Energy Policy Engineering Feed rate Genetic algorithms Heat conductivity Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Material removal rate (machining) Minimal surfaces Multiple objective analysis Optimization Optimization techniques Original Research Paper Orthogonal arrays Parameter identification Process parameters Surface roughness Sustainable Development Taguchi methods Titanium alloys Titanium base alloys Voltage Waste Management/Waste Technology Wire |
title | Multi-Response Optimization and Surface Integrity Characteristics of Wire Electric Discharge Machining α-Phase Ti-6242 Alloy |
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