Analysis of machining characteristics in electrical discharge machining of SiC and Al2O3 reinforced AA6061 hybrid metal matrix composites using Taguchi and ANOVA techniques
In this study, the machining behaviour of aluminium alloy (AA6061)/10% aluminium oxide (Al2O3)/10% silicon carbide (SiC) hybrid metal matrix composites was analyzed by Electric Discharge Machining (EDM). The stir casting method was used to fabricate the composite in a volume percentage of 80, 10, an...
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description | In this study, the machining behaviour of aluminium alloy (AA6061)/10% aluminium oxide (Al2O3)/10% silicon carbide (SiC) hybrid metal matrix composites was analyzed by Electric Discharge Machining (EDM). The stir casting method was used to fabricate the composite in a volume percentage of 80, 10, and 10 for AA6061, Al2O3 and SiC, respectively. The specimen was prepared in the size of 30 mm in diameter and 12 mm in thickness from the fabricated composite by the Wire-cut Electric Discharge Machining (WEDM) process. The fabricated specimens were machined using EDM by varying the input parameters of pulse-ON time (T–ON) in μs, pulse-OFF time (T–OFF) in μs, and gap current (GC) in amps at three different levels. The design of the experiment by the Taguchi method was used with the L9 orthogonal array. The impact of process parameters on output variables such as Surface Roughness (SR), Machining Time (MT) and Material Removal Rate (MRR) was studied, and an Analysis of Variance (ANOVA) was carried out to identify the most influencing parameter. The GC is observed as the significant input parameter on SR and MT as the percentage contribution of 33% and 47%, respectively. T–ON is identified as more significant than other parameters on MRR as the percentage contribution is 47%. The results show that T–ON time of 12 μs, T–OFF time of 4 μs, and GC of 14 amps yield the least value of 3.304 μm for SR, 12 min for MT, and a higher value of 0.037 mm3 min−1 for MRR. |
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The stir casting method was used to fabricate the composite in a volume percentage of 80, 10, and 10 for AA6061, Al2O3 and SiC, respectively. The specimen was prepared in the size of 30 mm in diameter and 12 mm in thickness from the fabricated composite by the Wire-cut Electric Discharge Machining (WEDM) process. The fabricated specimens were machined using EDM by varying the input parameters of pulse-ON time (T–ON) in μs, pulse-OFF time (T–OFF) in μs, and gap current (GC) in amps at three different levels. The design of the experiment by the Taguchi method was used with the L9 orthogonal array. The impact of process parameters on output variables such as Surface Roughness (SR), Machining Time (MT) and Material Removal Rate (MRR) was studied, and an Analysis of Variance (ANOVA) was carried out to identify the most influencing parameter. The GC is observed as the significant input parameter on SR and MT as the percentage contribution of 33% and 47%, respectively. T–ON is identified as more significant than other parameters on MRR as the percentage contribution is 47%. The results show that T–ON time of 12 μs, T–OFF time of 4 μs, and GC of 14 amps yield the least value of 3.304 μm for SR, 12 min for MT, and a higher value of 0.037 mm3 min−1 for MRR.</description><identifier>EISSN: 2053-1591</identifier><identifier>DOI: 10.1088/2053-1591/ac672d</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Aluminum base alloys ; Aluminum oxide ; ANOVA ; Diameters ; EDM ; Electric discharge machining ; hybrid metal matrix composites ; Material removal rate (machining) ; Metal matrix composites ; Orthogonal arrays ; Parameter identification ; Process parameters ; pulse-OFF time ; pulse-ON time ; Silicon carbide ; Surface roughness ; Taguchi methods ; Variance analysis</subject><ispartof>Materials research express, 2022-04, Vol.9 (4), p.046521</ispartof><rights>2022 The Author(s). Published by IOP Publishing Ltd</rights><rights>2022 The Author(s). Published by IOP Publishing Ltd. 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><orcidid>0000-0002-7978-1617</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/2053-1591/ac672d/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,860,2095,27903,27904,38847,38869,53818,53845</link.rule.ids></links><search><creatorcontrib>Haja Syeddu Masooth, P</creatorcontrib><creatorcontrib>Bharathiraja, G</creatorcontrib><creatorcontrib>Jayakumar, V</creatorcontrib><creatorcontrib>Palani, Kumaran</creatorcontrib><title>Analysis of machining characteristics in electrical discharge machining of SiC and Al2O3 reinforced AA6061 hybrid metal matrix composites using Taguchi and ANOVA techniques</title><title>Materials research express</title><addtitle>MRX</addtitle><addtitle>Mater. Res. Express</addtitle><description>In this study, the machining behaviour of aluminium alloy (AA6061)/10% aluminium oxide (Al2O3)/10% silicon carbide (SiC) hybrid metal matrix composites was analyzed by Electric Discharge Machining (EDM). The stir casting method was used to fabricate the composite in a volume percentage of 80, 10, and 10 for AA6061, Al2O3 and SiC, respectively. The specimen was prepared in the size of 30 mm in diameter and 12 mm in thickness from the fabricated composite by the Wire-cut Electric Discharge Machining (WEDM) process. The fabricated specimens were machined using EDM by varying the input parameters of pulse-ON time (T–ON) in μs, pulse-OFF time (T–OFF) in μs, and gap current (GC) in amps at three different levels. The design of the experiment by the Taguchi method was used with the L9 orthogonal array. The impact of process parameters on output variables such as Surface Roughness (SR), Machining Time (MT) and Material Removal Rate (MRR) was studied, and an Analysis of Variance (ANOVA) was carried out to identify the most influencing parameter. The GC is observed as the significant input parameter on SR and MT as the percentage contribution of 33% and 47%, respectively. T–ON is identified as more significant than other parameters on MRR as the percentage contribution is 47%. The results show that T–ON time of 12 μs, T–OFF time of 4 μs, and GC of 14 amps yield the least value of 3.304 μm for SR, 12 min for MT, and a higher value of 0.037 mm3 min−1 for MRR.</description><subject>Aluminum base alloys</subject><subject>Aluminum oxide</subject><subject>ANOVA</subject><subject>Diameters</subject><subject>EDM</subject><subject>Electric discharge machining</subject><subject>hybrid metal matrix composites</subject><subject>Material removal rate (machining)</subject><subject>Metal matrix composites</subject><subject>Orthogonal arrays</subject><subject>Parameter identification</subject><subject>Process parameters</subject><subject>pulse-OFF time</subject><subject>pulse-ON time</subject><subject>Silicon carbide</subject><subject>Surface roughness</subject><subject>Taguchi methods</subject><subject>Variance analysis</subject><issn>2053-1591</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNptkUtr3DAURk2g0JBmn6Ug0FWnkWQ9rKUZ-giEzKJJt-Lq4RkNtuVKHsj8p_7IynVps-jqwse5B-79quqG4I8EN80dxbzeEK7IHVghqbuoLv9Gb6vrnI8YYypVzam4rH62I_TnHDKKHRrAHsIYxj2yB0hgZ59CnoPNKIzI997OKVjokQt5Afb-1UZZ_xa2CEaH2p7uapR8GLuYrC9BK7Ag6HA2KTg0-Lk4BiiyF2TjMMUcZp_RKS-eJ9ifinMVPe6-t2j29jCGHyef31VvOuizv_4zr6rnz5-etl83D7sv99v2YeNoo-YNw4QbLpRpyt2MGSk9x4orCdZRaQTm1BgMtqulFbXigjlOGmiI4rJxjaivqvvV6yIc9ZTCAOmsIwT9O4hpryGVv_ReWwreUWNBEsZUg43oXCe8BO9FbUlXXLera0pxuWHWx3hK5elZU8EF5VgyVqgPKxXi9A8gWC-V6qU_vfSn10oL_v4_-JBetNJMYyY4JXpyXf0LJZGj6Q</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Haja Syeddu Masooth, P</creator><creator>Bharathiraja, G</creator><creator>Jayakumar, V</creator><creator>Palani, Kumaran</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7978-1617</orcidid></search><sort><creationdate>20220401</creationdate><title>Analysis of machining characteristics in electrical discharge machining of SiC and Al2O3 reinforced AA6061 hybrid metal matrix composites using Taguchi and ANOVA techniques</title><author>Haja Syeddu Masooth, P ; Bharathiraja, G ; Jayakumar, V ; Palani, Kumaran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d289t-4015b569b805344b77e509597acd27b6052bb0acf37c639564d518a819578d863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aluminum base alloys</topic><topic>Aluminum oxide</topic><topic>ANOVA</topic><topic>Diameters</topic><topic>EDM</topic><topic>Electric discharge machining</topic><topic>hybrid metal matrix composites</topic><topic>Material removal rate (machining)</topic><topic>Metal matrix composites</topic><topic>Orthogonal arrays</topic><topic>Parameter identification</topic><topic>Process parameters</topic><topic>pulse-OFF time</topic><topic>pulse-ON time</topic><topic>Silicon carbide</topic><topic>Surface roughness</topic><topic>Taguchi methods</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haja Syeddu Masooth, P</creatorcontrib><creatorcontrib>Bharathiraja, G</creatorcontrib><creatorcontrib>Jayakumar, V</creatorcontrib><creatorcontrib>Palani, Kumaran</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Materials research express</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haja Syeddu Masooth, P</au><au>Bharathiraja, G</au><au>Jayakumar, V</au><au>Palani, Kumaran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of machining characteristics in electrical discharge machining of SiC and Al2O3 reinforced AA6061 hybrid metal matrix composites using Taguchi and ANOVA techniques</atitle><jtitle>Materials research express</jtitle><stitle>MRX</stitle><addtitle>Mater. Res. Express</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>9</volume><issue>4</issue><spage>046521</spage><pages>046521-</pages><eissn>2053-1591</eissn><abstract>In this study, the machining behaviour of aluminium alloy (AA6061)/10% aluminium oxide (Al2O3)/10% silicon carbide (SiC) hybrid metal matrix composites was analyzed by Electric Discharge Machining (EDM). The stir casting method was used to fabricate the composite in a volume percentage of 80, 10, and 10 for AA6061, Al2O3 and SiC, respectively. The specimen was prepared in the size of 30 mm in diameter and 12 mm in thickness from the fabricated composite by the Wire-cut Electric Discharge Machining (WEDM) process. The fabricated specimens were machined using EDM by varying the input parameters of pulse-ON time (T–ON) in μs, pulse-OFF time (T–OFF) in μs, and gap current (GC) in amps at three different levels. The design of the experiment by the Taguchi method was used with the L9 orthogonal array. The impact of process parameters on output variables such as Surface Roughness (SR), Machining Time (MT) and Material Removal Rate (MRR) was studied, and an Analysis of Variance (ANOVA) was carried out to identify the most influencing parameter. The GC is observed as the significant input parameter on SR and MT as the percentage contribution of 33% and 47%, respectively. T–ON is identified as more significant than other parameters on MRR as the percentage contribution is 47%. The results show that T–ON time of 12 μs, T–OFF time of 4 μs, and GC of 14 amps yield the least value of 3.304 μm for SR, 12 min for MT, and a higher value of 0.037 mm3 min−1 for MRR.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/2053-1591/ac672d</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-7978-1617</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aluminum base alloys Aluminum oxide ANOVA Diameters EDM Electric discharge machining hybrid metal matrix composites Material removal rate (machining) Metal matrix composites Orthogonal arrays Parameter identification Process parameters pulse-OFF time pulse-ON time Silicon carbide Surface roughness Taguchi methods Variance analysis |
title | Analysis of machining characteristics in electrical discharge machining of SiC and Al2O3 reinforced AA6061 hybrid metal matrix composites using Taguchi and ANOVA techniques |
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