Coated CBN cutting tool performance in green turning of gray cast iron EN-GJL-250: modeling and optimization
The present research investigates the performance of a TiN/PVD-coated CBN7050 tool when turning the gray cast iron EN-GJL-250. This is performed through carrying out two series of tests. The first are parametric tests aiming at evaluating the effect of each cutting parameter, i.e., the cutting speed...
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Veröffentlicht in: | International journal of advanced manufacturing technology 2021-04, Vol.113 (11-12), p.3643-3665 |
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container_title | International journal of advanced manufacturing technology |
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creator | Chihaoui, Salim Yallese, Mohamed Athmane Belhadi, Salim Belbah, Ahmed Safi, Khaoula Haddad, Abdelkrim |
description | The present research investigates the performance of a TiN/PVD-coated CBN7050 tool when turning the gray cast iron EN-GJL-250. This is performed through carrying out two series of tests. The first are parametric tests aiming at evaluating the effect of each cutting parameter, i.e., the cutting speed, the feed rate and the depth of cut on the cutting forces, the cutting pressure, the surface roughness, and the cutting power. The second series of tests concern the modeling that would lead to predicting the output parameters. Both the analysis of variance and the response surface methodology are selected to develop the relationship between the input factors (
Vc
,
f
, and
Doc
) and the output parameters. The tests are carried out according to the Taguchi design (
L
27
). The derived models are used to perform a multi-objective optimization of the cutting parameters through the application of the desirability function approach (DFA) for four objectives. Furthermore, the CBN7050 tool wear behavior was investigated during the machining of gray cast iron EN-GJL-250. Tool lives reached 7, 18, and 41.5 min when
Vc
was varied from 450, 600, to 750 m/min, respectively. Finally, a topographical analysis of the machined surface 3D roughness was carried out for different cutting parameters and led to displaying the texture of the surfaces. |
doi_str_mv | 10.1007/s00170-021-06820-1 |
format | Article |
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Vc
,
f
, and
Doc
) and the output parameters. The tests are carried out according to the Taguchi design (
L
27
). The derived models are used to perform a multi-objective optimization of the cutting parameters through the application of the desirability function approach (DFA) for four objectives. Furthermore, the CBN7050 tool wear behavior was investigated during the machining of gray cast iron EN-GJL-250. Tool lives reached 7, 18, and 41.5 min when
Vc
was varied from 450, 600, to 750 m/min, respectively. Finally, a topographical analysis of the machined surface 3D roughness was carried out for different cutting parameters and led to displaying the texture of the surfaces.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-021-06820-1</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>CAE) and Design ; Computer-Aided Engineering (CAD ; Cutting force ; Cutting parameters ; Cutting speed ; Cutting tools ; Engineering ; Feed rate ; Gray iron ; Industrial and Production Engineering ; Machine tools ; Mathematical models ; Mechanical Engineering ; Media Management ; Modelling ; Multiple objective analysis ; Optimization ; Original Article ; Response surface methodology ; Surface roughness ; Taguchi methods ; Tool wear ; Turning (machining) ; Variance analysis</subject><ispartof>International journal of advanced manufacturing technology, 2021-04, Vol.113 (11-12), p.3643-3665</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-e801f3baa40400873012ef969e4b08f7a4b9a293c9571184cf7ba3b7f9594cbb3</cites><orcidid>0000-0001-6461-4667</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/s00170-021-06820-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-021-06820-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Chihaoui, Salim</creatorcontrib><creatorcontrib>Yallese, Mohamed Athmane</creatorcontrib><creatorcontrib>Belhadi, Salim</creatorcontrib><creatorcontrib>Belbah, Ahmed</creatorcontrib><creatorcontrib>Safi, Khaoula</creatorcontrib><creatorcontrib>Haddad, Abdelkrim</creatorcontrib><title>Coated CBN cutting tool performance in green turning of gray cast iron EN-GJL-250: modeling and optimization</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>The present research investigates the performance of a TiN/PVD-coated CBN7050 tool when turning the gray cast iron EN-GJL-250. This is performed through carrying out two series of tests. The first are parametric tests aiming at evaluating the effect of each cutting parameter, i.e., the cutting speed, the feed rate and the depth of cut on the cutting forces, the cutting pressure, the surface roughness, and the cutting power. The second series of tests concern the modeling that would lead to predicting the output parameters. Both the analysis of variance and the response surface methodology are selected to develop the relationship between the input factors (
Vc
,
f
, and
Doc
) and the output parameters. The tests are carried out according to the Taguchi design (
L
27
). The derived models are used to perform a multi-objective optimization of the cutting parameters through the application of the desirability function approach (DFA) for four objectives. Furthermore, the CBN7050 tool wear behavior was investigated during the machining of gray cast iron EN-GJL-250. Tool lives reached 7, 18, and 41.5 min when
Vc
was varied from 450, 600, to 750 m/min, respectively. Finally, a topographical analysis of the machined surface 3D roughness was carried out for different cutting parameters and led to displaying the texture of the surfaces.</description><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Cutting force</subject><subject>Cutting parameters</subject><subject>Cutting speed</subject><subject>Cutting tools</subject><subject>Engineering</subject><subject>Feed rate</subject><subject>Gray iron</subject><subject>Industrial and Production Engineering</subject><subject>Machine tools</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Modelling</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Response surface methodology</subject><subject>Surface roughness</subject><subject>Taguchi methods</subject><subject>Tool wear</subject><subject>Turning (machining)</subject><subject>Variance analysis</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kDFPwzAQhS0EEqXwB5gsMRvOcRI7bBCVAqrKArPlpHaVKrGD7Q7l1-MSJDamk07fe_fuIXRN4ZYC8LsAQDkQyCiBUmRA6Ama0ZwxwoAWp2gGWSkI46U4Rxch7BJe0lLMUF87FfUG149r3O5j7OwWR-d6PGpvnB-UbTXuLN56rS2Oe2-PhDNpoQ64VSHizjuLF2uyfF2RrIB7PLiN7o-YshvsxtgN3ZeKnbOX6MyoPuir3zlHH0-L9_qZrN6WL_XDirQZh0i0AGpYo1QOOYDg6YVMm6qsdN6AMFzlTaWyirVVwSkVeWt4o1jDTVVUeds0bI5uJt_Ru8-9DlHuXEqeTsoUkLOSCYBEZRPVeheC10aOvhuUP0gK8tiqnFqVqVX506qkScQmUUiw3Wr_Z_2P6hvhUnkN</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Chihaoui, Salim</creator><creator>Yallese, Mohamed Athmane</creator><creator>Belhadi, Salim</creator><creator>Belbah, Ahmed</creator><creator>Safi, Khaoula</creator><creator>Haddad, Abdelkrim</creator><general>Springer London</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>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0001-6461-4667</orcidid></search><sort><creationdate>20210401</creationdate><title>Coated CBN cutting tool performance in green turning of gray cast iron EN-GJL-250: modeling and optimization</title><author>Chihaoui, Salim ; Yallese, Mohamed Athmane ; Belhadi, Salim ; Belbah, Ahmed ; Safi, Khaoula ; Haddad, Abdelkrim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-e801f3baa40400873012ef969e4b08f7a4b9a293c9571184cf7ba3b7f9594cbb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Cutting force</topic><topic>Cutting parameters</topic><topic>Cutting speed</topic><topic>Cutting tools</topic><topic>Engineering</topic><topic>Feed rate</topic><topic>Gray iron</topic><topic>Industrial and Production Engineering</topic><topic>Machine tools</topic><topic>Mathematical models</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Modelling</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Response surface methodology</topic><topic>Surface roughness</topic><topic>Taguchi methods</topic><topic>Tool wear</topic><topic>Turning (machining)</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chihaoui, Salim</creatorcontrib><creatorcontrib>Yallese, Mohamed Athmane</creatorcontrib><creatorcontrib>Belhadi, Salim</creatorcontrib><creatorcontrib>Belbah, Ahmed</creatorcontrib><creatorcontrib>Safi, Khaoula</creatorcontrib><creatorcontrib>Haddad, Abdelkrim</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>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering 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>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chihaoui, Salim</au><au>Yallese, Mohamed Athmane</au><au>Belhadi, Salim</au><au>Belbah, Ahmed</au><au>Safi, Khaoula</au><au>Haddad, Abdelkrim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coated CBN cutting tool performance in green turning of gray cast iron EN-GJL-250: modeling and optimization</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2021-04-01</date><risdate>2021</risdate><volume>113</volume><issue>11-12</issue><spage>3643</spage><epage>3665</epage><pages>3643-3665</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>The present research investigates the performance of a TiN/PVD-coated CBN7050 tool when turning the gray cast iron EN-GJL-250. This is performed through carrying out two series of tests. The first are parametric tests aiming at evaluating the effect of each cutting parameter, i.e., the cutting speed, the feed rate and the depth of cut on the cutting forces, the cutting pressure, the surface roughness, and the cutting power. The second series of tests concern the modeling that would lead to predicting the output parameters. Both the analysis of variance and the response surface methodology are selected to develop the relationship between the input factors (
Vc
,
f
, and
Doc
) and the output parameters. The tests are carried out according to the Taguchi design (
L
27
). The derived models are used to perform a multi-objective optimization of the cutting parameters through the application of the desirability function approach (DFA) for four objectives. Furthermore, the CBN7050 tool wear behavior was investigated during the machining of gray cast iron EN-GJL-250. Tool lives reached 7, 18, and 41.5 min when
Vc
was varied from 450, 600, to 750 m/min, respectively. Finally, a topographical analysis of the machined surface 3D roughness was carried out for different cutting parameters and led to displaying the texture of the surfaces.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-021-06820-1</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0001-6461-4667</orcidid></addata></record> |
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subjects | CAE) and Design Computer-Aided Engineering (CAD Cutting force Cutting parameters Cutting speed Cutting tools Engineering Feed rate Gray iron Industrial and Production Engineering Machine tools Mathematical models Mechanical Engineering Media Management Modelling Multiple objective analysis Optimization Original Article Response surface methodology Surface roughness Taguchi methods Tool wear Turning (machining) Variance analysis |
title | Coated CBN cutting tool performance in green turning of gray cast iron EN-GJL-250: modeling and optimization |
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