On the Influence of Electrical Discharge Drilling Parameters and Per-formance Measures of Inconel 718 Superalloy - a Study
In order to achieve higher productivity and product quality, the investigation of machining parameters on Electrical Discharge Drilling and surface characteristic analysis are most critical for manufacturing industries. The intention of this article is to assess the impact on performance matrices in...
Gespeichert in:
| Veröffentlicht in: | Mechanika (Kaunas, Lithuania : 1995) Lithuania : 1995), 2021-12, Vol.27 (6), p.483-491 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 491 |
|---|---|
| container_issue | 6 |
| container_start_page | 483 |
| container_title | Mechanika (Kaunas, Lithuania : 1995) |
| container_volume | 27 |
| creator | JEEVAMALAR, Jayaraj RAMABALAN, Sundaresan JANCIRANI, Jayaraj |
| description | In order to achieve higher productivity and product quality, the investigation of machining parameters on Electrical Discharge Drilling and surface characteristic analysis are most critical for manufacturing industries. The intention of this article is to assess the impact on performance matrices including Material Removal Rate, and Surface Roughness of input factors of peak current, pulse-on and off duration while drilling with a rotary hollow copper tool on Inconel 718 under Tungsten powder suspended kerosene. Analysis of Variance has been implemented using MINITAB release 18 software to identify the most significant input factors. An Artificial Neural Network was used for validating the experimental results of the drilling process. The additional intention of this research is to discover the significance of influencing input parameters and analyze the quality surface of the workpiece were observed by microscope tests. The experimental results indicated that the peak current and pulse-on period have an effect on the performance of the drilling process considerably. |
| doi_str_mv | 10.5755/j02.mech.25444 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2609116987</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2609116987</sourcerecordid><originalsourceid>FETCH-LOGICAL-c677-6bd06442d24146581852b29e4553f4f61748c62ce4df408e86ea4ccde90206a53</originalsourceid><addsrcrecordid>eNot0MFPwjAUBvDGaCKiV89NPG-2Xdt1RwOoJBhI4N6U7g1Gug7b7YB_vZt4epfvfV_yQ-iZklTkQryeCEsbsMeUCc75DZowwopEFiq7RROaFSyhjOT36CHGEyFCMEUn6GftcXcEvPSV68FbwG2FFw5sF2prHJ7X0R5NOACeh9q52h_wxgTTQAchYuNLvIGQVG1ozPj8BSb2AeLYsvS29eBwThXe9mcIxrn2ghNs8Lbry8sjuquMi_D0f6do977YzT6T1fpjOXtbJVbmeSL3JZGcs5JxyqVQVAm2ZwVwIbKKV5LmXFnJLPCy4kSBkmC4tSUUhBFpRDZFL9fac2i_e4idPrV98MOiZpIUlA5C-ZBKrykb2hgDVPoc6saEi6ZEj7x64NUjr_7jzX4Bh1NtfQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2609116987</pqid></control><display><type>article</type><title>On the Influence of Electrical Discharge Drilling Parameters and Per-formance Measures of Inconel 718 Superalloy - a Study</title><source>DOAJ Directory of Open Access Journals</source><creator>JEEVAMALAR, Jayaraj ; RAMABALAN, Sundaresan ; JANCIRANI, Jayaraj</creator><creatorcontrib>JEEVAMALAR, Jayaraj ; RAMABALAN, Sundaresan ; JANCIRANI, Jayaraj</creatorcontrib><description>In order to achieve higher productivity and product quality, the investigation of machining parameters on Electrical Discharge Drilling and surface characteristic analysis are most critical for manufacturing industries. The intention of this article is to assess the impact on performance matrices including Material Removal Rate, and Surface Roughness of input factors of peak current, pulse-on and off duration while drilling with a rotary hollow copper tool on Inconel 718 under Tungsten powder suspended kerosene. Analysis of Variance has been implemented using MINITAB release 18 software to identify the most significant input factors. An Artificial Neural Network was used for validating the experimental results of the drilling process. The additional intention of this research is to discover the significance of influencing input parameters and analyze the quality surface of the workpiece were observed by microscope tests. The experimental results indicated that the peak current and pulse-on period have an effect on the performance of the drilling process considerably.</description><identifier>ISSN: 1392-1207</identifier><identifier>EISSN: 2029-6983</identifier><identifier>DOI: 10.5755/j02.mech.25444</identifier><language>eng</language><publisher>Kaunas: Kauno Technologijos Universitetas</publisher><subject>Artificial neural networks ; Drilling ; Electric discharges ; Material removal rate (machining) ; Nickel base alloys ; Process parameters ; Superalloys ; Surface properties ; Surface roughness ; Variance analysis ; Workpieces</subject><ispartof>Mechanika (Kaunas, Lithuania : 1995), 2021-12, Vol.27 (6), p.483-491</ispartof><rights>Copyright Kauno Technologijos Universitetas 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,862,27911,27912</link.rule.ids></links><search><creatorcontrib>JEEVAMALAR, Jayaraj</creatorcontrib><creatorcontrib>RAMABALAN, Sundaresan</creatorcontrib><creatorcontrib>JANCIRANI, Jayaraj</creatorcontrib><title>On the Influence of Electrical Discharge Drilling Parameters and Per-formance Measures of Inconel 718 Superalloy - a Study</title><title>Mechanika (Kaunas, Lithuania : 1995)</title><description>In order to achieve higher productivity and product quality, the investigation of machining parameters on Electrical Discharge Drilling and surface characteristic analysis are most critical for manufacturing industries. The intention of this article is to assess the impact on performance matrices including Material Removal Rate, and Surface Roughness of input factors of peak current, pulse-on and off duration while drilling with a rotary hollow copper tool on Inconel 718 under Tungsten powder suspended kerosene. Analysis of Variance has been implemented using MINITAB release 18 software to identify the most significant input factors. An Artificial Neural Network was used for validating the experimental results of the drilling process. The additional intention of this research is to discover the significance of influencing input parameters and analyze the quality surface of the workpiece were observed by microscope tests. The experimental results indicated that the peak current and pulse-on period have an effect on the performance of the drilling process considerably.</description><subject>Artificial neural networks</subject><subject>Drilling</subject><subject>Electric discharges</subject><subject>Material removal rate (machining)</subject><subject>Nickel base alloys</subject><subject>Process parameters</subject><subject>Superalloys</subject><subject>Surface properties</subject><subject>Surface roughness</subject><subject>Variance analysis</subject><subject>Workpieces</subject><issn>1392-1207</issn><issn>2029-6983</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNot0MFPwjAUBvDGaCKiV89NPG-2Xdt1RwOoJBhI4N6U7g1Gug7b7YB_vZt4epfvfV_yQ-iZklTkQryeCEsbsMeUCc75DZowwopEFiq7RROaFSyhjOT36CHGEyFCMEUn6GftcXcEvPSV68FbwG2FFw5sF2prHJ7X0R5NOACeh9q52h_wxgTTQAchYuNLvIGQVG1ozPj8BSb2AeLYsvS29eBwThXe9mcIxrn2ghNs8Lbry8sjuquMi_D0f6do977YzT6T1fpjOXtbJVbmeSL3JZGcs5JxyqVQVAm2ZwVwIbKKV5LmXFnJLPCy4kSBkmC4tSUUhBFpRDZFL9fac2i_e4idPrV98MOiZpIUlA5C-ZBKrykb2hgDVPoc6saEi6ZEj7x64NUjr_7jzX4Bh1NtfQ</recordid><startdate>20211210</startdate><enddate>20211210</enddate><creator>JEEVAMALAR, Jayaraj</creator><creator>RAMABALAN, Sundaresan</creator><creator>JANCIRANI, Jayaraj</creator><general>Kauno Technologijos Universitetas</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20211210</creationdate><title>On the Influence of Electrical Discharge Drilling Parameters and Per-formance Measures of Inconel 718 Superalloy - a Study</title><author>JEEVAMALAR, Jayaraj ; RAMABALAN, Sundaresan ; JANCIRANI, Jayaraj</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c677-6bd06442d24146581852b29e4553f4f61748c62ce4df408e86ea4ccde90206a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Artificial neural networks</topic><topic>Drilling</topic><topic>Electric discharges</topic><topic>Material removal rate (machining)</topic><topic>Nickel base alloys</topic><topic>Process parameters</topic><topic>Superalloys</topic><topic>Surface properties</topic><topic>Surface roughness</topic><topic>Variance analysis</topic><topic>Workpieces</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>JEEVAMALAR, Jayaraj</creatorcontrib><creatorcontrib>RAMABALAN, Sundaresan</creatorcontrib><creatorcontrib>JANCIRANI, Jayaraj</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Mechanika (Kaunas, Lithuania : 1995)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>JEEVAMALAR, Jayaraj</au><au>RAMABALAN, Sundaresan</au><au>JANCIRANI, Jayaraj</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Influence of Electrical Discharge Drilling Parameters and Per-formance Measures of Inconel 718 Superalloy - a Study</atitle><jtitle>Mechanika (Kaunas, Lithuania : 1995)</jtitle><date>2021-12-10</date><risdate>2021</risdate><volume>27</volume><issue>6</issue><spage>483</spage><epage>491</epage><pages>483-491</pages><issn>1392-1207</issn><eissn>2029-6983</eissn><abstract>In order to achieve higher productivity and product quality, the investigation of machining parameters on Electrical Discharge Drilling and surface characteristic analysis are most critical for manufacturing industries. The intention of this article is to assess the impact on performance matrices including Material Removal Rate, and Surface Roughness of input factors of peak current, pulse-on and off duration while drilling with a rotary hollow copper tool on Inconel 718 under Tungsten powder suspended kerosene. Analysis of Variance has been implemented using MINITAB release 18 software to identify the most significant input factors. An Artificial Neural Network was used for validating the experimental results of the drilling process. The additional intention of this research is to discover the significance of influencing input parameters and analyze the quality surface of the workpiece were observed by microscope tests. The experimental results indicated that the peak current and pulse-on period have an effect on the performance of the drilling process considerably.</abstract><cop>Kaunas</cop><pub>Kauno Technologijos Universitetas</pub><doi>10.5755/j02.mech.25444</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1392-1207 |
| ispartof | Mechanika (Kaunas, Lithuania : 1995), 2021-12, Vol.27 (6), p.483-491 |
| issn | 1392-1207 2029-6983 |
| language | eng |
| recordid | cdi_proquest_journals_2609116987 |
| source | DOAJ Directory of Open Access Journals |
| subjects | Artificial neural networks Drilling Electric discharges Material removal rate (machining) Nickel base alloys Process parameters Superalloys Surface properties Surface roughness Variance analysis Workpieces |
| title | On the Influence of Electrical Discharge Drilling Parameters and Per-formance Measures of Inconel 718 Superalloy - a Study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T13%3A58%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20the%20Influence%20of%20Electrical%20Discharge%20Drilling%20Parameters%20and%20Per-formance%20Measures%20of%20Inconel%20718%20Superalloy%20-%20a%20Study&rft.jtitle=Mechanika%20(Kaunas,%20Lithuania%20:%201995)&rft.au=JEEVAMALAR,%20Jayaraj&rft.date=2021-12-10&rft.volume=27&rft.issue=6&rft.spage=483&rft.epage=491&rft.pages=483-491&rft.issn=1392-1207&rft.eissn=2029-6983&rft_id=info:doi/10.5755/j02.mech.25444&rft_dat=%3Cproquest_cross%3E2609116987%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2609116987&rft_id=info:pmid/&rfr_iscdi=true |