Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials
In a milling process, proper selection of cutting parameters can significantly reduce the electrical energy consumption. Many researchers have conducted cutting parameter optimization of the milling process for electrical energy saving during the past several years. However, in the milling process,...
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Veröffentlicht in: | International journal of advanced manufacturing technology 2018-04, Vol.96 (1-4), p.775-788 |
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description | In a milling process, proper selection of cutting parameters can significantly reduce the electrical energy consumption. Many researchers have conducted cutting parameter optimization of the milling process for electrical energy saving during the past several years. However, in the milling process, a large amount of auxiliary materials such as cutting tools and cutting fluids are consumed. The production process of these materials is energy-intensive and a lot of energy are consumed. Optimizing cutting parameters considering both the electrical energy consumption and embodied energy consumption of auxiliary materials can further reduce the environmental impact of the milling process. In this paper, an approach of cutting parameter optimization is proposed to maximize energy efficiency and machining efficiency for milling operation. Firstly, an energy consumption model of milling operation considering both the electrical energy consumption and embodied energy consumption of cutting tools and cutting fluids is proposed. Then a multi-objective optimization model is established to achieve maximizing energy efficiency and machining efficiency. Finally, to verify the proposed multi-objective model, case studies are carried out and the results indicate that (i) the optimum cutting parameters of milling process vary with the energy boundaries whether considering the embodied energy of the auxiliary materials or not; (ii) the optimum cutting parameter schemes for maximum machining efficiency do not ensure maximum energy efficiency; (iii) multi-objective optimization is an effective method to address the conflicts of the two objectives. |
doi_str_mv | 10.1007/s00170-018-1647-0 |
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Many researchers have conducted cutting parameter optimization of the milling process for electrical energy saving during the past several years. However, in the milling process, a large amount of auxiliary materials such as cutting tools and cutting fluids are consumed. The production process of these materials is energy-intensive and a lot of energy are consumed. Optimizing cutting parameters considering both the electrical energy consumption and embodied energy consumption of auxiliary materials can further reduce the environmental impact of the milling process. In this paper, an approach of cutting parameter optimization is proposed to maximize energy efficiency and machining efficiency for milling operation. Firstly, an energy consumption model of milling operation considering both the electrical energy consumption and embodied energy consumption of cutting tools and cutting fluids is proposed. Then a multi-objective optimization model is established to achieve maximizing energy efficiency and machining efficiency. Finally, to verify the proposed multi-objective model, case studies are carried out and the results indicate that (i) the optimum cutting parameters of milling process vary with the energy boundaries whether considering the embodied energy of the auxiliary materials or not; (ii) the optimum cutting parameter schemes for maximum machining efficiency do not ensure maximum energy efficiency; (iii) multi-objective optimization is an effective method to address the conflicts of the two objectives.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-018-1647-0</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>CAE) and Design ; Computational fluid dynamics ; Computer-Aided Engineering (CAD ; Cutting fluids ; Cutting parameters ; Cutting tool materials ; Cutting tools ; Energy conservation ; Energy consumption ; Energy efficiency ; Engineering ; Environmental impact ; Industrial and Production Engineering ; Mathematical models ; Mechanical Engineering ; Media Management ; Milling (machining) ; Multiple objective analysis ; Optimization ; Original Article ; Power efficiency ; Process parameters</subject><ispartof>International journal of advanced manufacturing technology, 2018-04, Vol.96 (1-4), p.775-788</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2018</rights><rights>Copyright Springer Science & Business Media 2018</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2018). All Rights Reserved.</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-6f1ae4f456a26a79d24d7578ce3076fbcc3244707dd9cb7ab474ed9178dec0263</citedby><cites>FETCH-LOGICAL-c463t-6f1ae4f456a26a79d24d7578ce3076fbcc3244707dd9cb7ab474ed9178dec0263</cites><orcidid>0000-0001-7217-3574</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/s00170-018-1647-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-018-1647-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Chen, Xingzheng</creatorcontrib><creatorcontrib>Li, Congbo</creatorcontrib><creatorcontrib>Jin, Yan</creatorcontrib><creatorcontrib>Li, Li</creatorcontrib><title>Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>In a milling process, proper selection of cutting parameters can significantly reduce the electrical energy consumption. Many researchers have conducted cutting parameter optimization of the milling process for electrical energy saving during the past several years. However, in the milling process, a large amount of auxiliary materials such as cutting tools and cutting fluids are consumed. The production process of these materials is energy-intensive and a lot of energy are consumed. Optimizing cutting parameters considering both the electrical energy consumption and embodied energy consumption of auxiliary materials can further reduce the environmental impact of the milling process. In this paper, an approach of cutting parameter optimization is proposed to maximize energy efficiency and machining efficiency for milling operation. Firstly, an energy consumption model of milling operation considering both the electrical energy consumption and embodied energy consumption of cutting tools and cutting fluids is proposed. Then a multi-objective optimization model is established to achieve maximizing energy efficiency and machining efficiency. Finally, to verify the proposed multi-objective model, case studies are carried out and the results indicate that (i) the optimum cutting parameters of milling process vary with the energy boundaries whether considering the embodied energy of the auxiliary materials or not; (ii) the optimum cutting parameter schemes for maximum machining efficiency do not ensure maximum energy efficiency; (iii) multi-objective optimization is an effective method to address the conflicts of the two objectives.</description><subject>CAE) and Design</subject><subject>Computational fluid dynamics</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Cutting fluids</subject><subject>Cutting parameters</subject><subject>Cutting tool materials</subject><subject>Cutting tools</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Engineering</subject><subject>Environmental impact</subject><subject>Industrial and Production Engineering</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Milling (machining)</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Power efficiency</subject><subject>Process parameters</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kctKBDEQRYMoOD4-wF3AdWslnU7SSxl8geBG1yGdVI8ZprvHJIOMX29kfKx0VVCce4riEnLG4IIBqMsEwBRUwHTFpFAV7JEZE3Vd1cCafTIDLnVVK6kPyVFKy0JLJvWMbB_XOQzh3eYwjXTqqdvkHMYFXdtoB8wYE30L-YVamjYp2zDaboXUTWMKHuNPDFfocgzOriiOGBdbakdPcegmH9B_7wo42OIMdpVOyEFfBp5-zWPyfHP9NL-rHh5v7-dXD5UTss6V7JlF0YtGWi6taj0XXjVKO6xByb5zruZCKFDet65TthNKoG-Z0h5d-bo-Juc77zpOrxtM2SynTRzLScNFC1o0Qql_KS45a6SA_13A2uLiWheK7SgXp5Qi9mYdw2Dj1jAwn22ZXVumtGU-2zJQMnyXSYUdFxh_zX-HPgA_Zpgq</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Chen, Xingzheng</creator><creator>Li, Congbo</creator><creator>Jin, Yan</creator><creator>Li, Li</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/0000-0001-7217-3574</orcidid></search><sort><creationdate>20180401</creationdate><title>Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials</title><author>Chen, Xingzheng ; Li, Congbo ; Jin, Yan ; Li, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-6f1ae4f456a26a79d24d7578ce3076fbcc3244707dd9cb7ab474ed9178dec0263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CAE) and Design</topic><topic>Computational fluid dynamics</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Cutting fluids</topic><topic>Cutting parameters</topic><topic>Cutting tool materials</topic><topic>Cutting tools</topic><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Engineering</topic><topic>Environmental impact</topic><topic>Industrial and Production Engineering</topic><topic>Mathematical models</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Milling (machining)</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Power efficiency</topic><topic>Process parameters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Xingzheng</creatorcontrib><creatorcontrib>Li, Congbo</creatorcontrib><creatorcontrib>Jin, Yan</creatorcontrib><creatorcontrib>Li, Li</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>Chen, Xingzheng</au><au>Li, Congbo</au><au>Jin, Yan</au><au>Li, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2018-04-01</date><risdate>2018</risdate><volume>96</volume><issue>1-4</issue><spage>775</spage><epage>788</epage><pages>775-788</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>In a milling process, proper selection of cutting parameters can significantly reduce the electrical energy consumption. Many researchers have conducted cutting parameter optimization of the milling process for electrical energy saving during the past several years. However, in the milling process, a large amount of auxiliary materials such as cutting tools and cutting fluids are consumed. The production process of these materials is energy-intensive and a lot of energy are consumed. Optimizing cutting parameters considering both the electrical energy consumption and embodied energy consumption of auxiliary materials can further reduce the environmental impact of the milling process. In this paper, an approach of cutting parameter optimization is proposed to maximize energy efficiency and machining efficiency for milling operation. Firstly, an energy consumption model of milling operation considering both the electrical energy consumption and embodied energy consumption of cutting tools and cutting fluids is proposed. Then a multi-objective optimization model is established to achieve maximizing energy efficiency and machining efficiency. Finally, to verify the proposed multi-objective model, case studies are carried out and the results indicate that (i) the optimum cutting parameters of milling process vary with the energy boundaries whether considering the embodied energy of the auxiliary materials or not; (ii) the optimum cutting parameter schemes for maximum machining efficiency do not ensure maximum energy efficiency; (iii) multi-objective optimization is an effective method to address the conflicts of the two objectives.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-018-1647-0</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-7217-3574</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | CAE) and Design Computational fluid dynamics Computer-Aided Engineering (CAD Cutting fluids Cutting parameters Cutting tool materials Cutting tools Energy conservation Energy consumption Energy efficiency Engineering Environmental impact Industrial and Production Engineering Mathematical models Mechanical Engineering Media Management Milling (machining) Multiple objective analysis Optimization Original Article Power efficiency Process parameters |
title | Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials |
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