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Parametric study of die sinking EDM process on AISI H13 tool steel using statistical techniques
The correct optimization of process parameters is one of the more important aspects when taking into consideration the majority of manufacturing processes and particularly for processes relating to electrical discharge machining (EDM). It is capable of machining geometrically complex or hard materia...
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Published in: | Advances in production engineering & management 2014-12, Vol.9 (4), p.168-180 |
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description | The correct optimization of process parameters is one of the more important aspects when taking into consideration the majority of manufacturing processes and particularly for processes relating to electrical discharge machining (EDM). It is capable of machining geometrically complex or hard material components that are precise and difficult-to-machine, such as heat-treated tool steels, composites, super alloys, ceramics, carbides, heat resistant steels etc. The presented study focused on the EDM of AISI H 13, W-Nr. 1.2344 Grade: Orvar Supreme for finding out the effect of machining parameters such as discharge gap current, pulse on time, pulse off time and spark gap on performance responses such as material removal rate, surface roughness and overcut using a square-shaped Cu tool with lateral flushing. A well-designed experimental scheme was used to reduce the total number of experiments. Parts of the experiment were conducted within the L27 orthogonal array based on the Taguchi method and significant process parameters were identified using analysis of variance. |
doi_str_mv | 10.14743/apem2014.4.185 |
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Parts of the experiment were conducted within the L27 orthogonal array based on the Taguchi method and significant process parameters were identified using analysis of variance.</description><identifier>ISSN: 1854-6250</identifier><identifier>EISSN: 1855-6531</identifier><identifier>DOI: 10.14743/apem2014.4.185</identifier><language>eng</language><publisher>Maribor: University of Maribor, Faculty of Mechanical Engineering, Production Engineering Institute</publisher><subject>Chromium molybdenum vanadium steels ; Design of experiments ; Die sinking ; Die steels ; Electric discharge machining ; Electrodes ; Flushing ; Heat treatment ; Hot work tool steels ; Machine tools ; Machining ; Process parameters ; Steel ; Variables ; Variance analysis ; Visual aids</subject><ispartof>Advances in production engineering & management, 2014-12, Vol.9 (4), p.168-180</ispartof><rights>Copyright University of Maribor, Faculty of Mechanical Engineering, Production Engineering Institute Dec 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-62556f91bbd2ed11d1544587b49c3978713a88ee4b005c95385d8e2f57c534d33</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Bose, G.K.</creatorcontrib><creatorcontrib>Mahapatra, K.K.</creatorcontrib><title>Parametric study of die sinking EDM process on AISI H13 tool steel using statistical techniques</title><title>Advances in production engineering & management</title><description>The correct optimization of process parameters is one of the more important aspects when taking into consideration the majority of manufacturing processes and particularly for processes relating to electrical discharge machining (EDM). 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Parts of the experiment were conducted within the L27 orthogonal array based on the Taguchi method and significant process parameters were identified using analysis of variance.</description><subject>Chromium molybdenum vanadium steels</subject><subject>Design of experiments</subject><subject>Die sinking</subject><subject>Die steels</subject><subject>Electric discharge machining</subject><subject>Electrodes</subject><subject>Flushing</subject><subject>Heat treatment</subject><subject>Hot work tool steels</subject><subject>Machine tools</subject><subject>Machining</subject><subject>Process parameters</subject><subject>Steel</subject><subject>Variables</subject><subject>Variance analysis</subject><subject>Visual aids</subject><issn>1854-6250</issn><issn>1855-6531</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNpdkL1PwzAQxS0EElXpzGqJhaVtLj7nY6xKoZWKQAJmy3EcMCRxsZ2h_z1uCwvL3en0u3dPj5BrSGaAObK53OkuTQBnOIOCn5FRrHyacQbnxxmnWcqTSzLx3lQJxj2WLB0R8Syd7HRwRlEfhnpPbUNro6k3_Zfp3-nq7pHunFXae2p7uti8bOgaGA3WtvFC65YO_gD6IIPxwSjZ0qDVR2--B-2vyEUjW68nv31M3u5Xr8v1dPv0sFkutlPFkIWDOZ41JVRVneoaoAaOyIu8wlKxMi9yYLIotMYqSbgqOSt4Xei04bniDGvGxuT2pBu9Hv4G0RmvdNvKXtvBC8iyMqpAlkb05h_6aQfXR3eRQsQSAHik5idKOeu9043YOdNJtxeQiGPm4i9zgSImzH4AdlNzCg</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Bose, G.K.</creator><creator>Mahapatra, K.K.</creator><general>University of Maribor, Faculty of Mechanical Engineering, Production Engineering Institute</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7QQ</scope><scope>8BQ</scope></search><sort><creationdate>20141201</creationdate><title>Parametric study of die sinking EDM process on AISI H13 tool steel using statistical techniques</title><author>Bose, G.K. ; 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source | Freely Accessible Science Journals |
subjects | Chromium molybdenum vanadium steels Design of experiments Die sinking Die steels Electric discharge machining Electrodes Flushing Heat treatment Hot work tool steels Machine tools Machining Process parameters Steel Variables Variance analysis Visual aids |
title | Parametric study of die sinking EDM process on AISI H13 tool steel using statistical techniques |
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