A Cutting Parameter Energy-saving Optimization Method for CNC Turning Batch Processing Considering Tool Wear
In a CNC batch turning process, the increased tool wear will lead to a significant raise of energy consumption. Due to the lack of researches on synergistic effect of tool wear and cutting parameters on energy consumption, this paper proposes an energy aware cutting parameter optimization approach f...
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| Veröffentlicht in: | Ji xie gong cheng xue bao 2021-01, Vol.57 (1), p.217 |
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| creator | Li, Congbo Yu, Bisheng Xiao, Qinge Yan Sun, Xin Lü |
| description | In a CNC batch turning process, the increased tool wear will lead to a significant raise of energy consumption. Due to the lack of researches on synergistic effect of tool wear and cutting parameters on energy consumption, this paper proposes an energy aware cutting parameter optimization approach for CNC batch turning by considering tool wear. Firstly, the synergistic mechanism of tool wear and cutting parameters on energy consumption of CNC batch turning is analyzed. On the basis, a multi-objective optimization model for minimizing energy consumption and production time is established with the variables of the cutting parameters under different tool wear conditions. Then a multi-objective simulated annealing algorithm is proposed to solve the optimization model. Compared with the empirical cutting parameters, the total energy consumption can be reduced by 14.9% and the total production time can be reduced by 9.8% with the optimized cutting parameters. This verifies the effectiveness and practicability of th |
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Due to the lack of researches on synergistic effect of tool wear and cutting parameters on energy consumption, this paper proposes an energy aware cutting parameter optimization approach for CNC batch turning by considering tool wear. Firstly, the synergistic mechanism of tool wear and cutting parameters on energy consumption of CNC batch turning is analyzed. On the basis, a multi-objective optimization model for minimizing energy consumption and production time is established with the variables of the cutting parameters under different tool wear conditions. Then a multi-objective simulated annealing algorithm is proposed to solve the optimization model. Compared with the empirical cutting parameters, the total energy consumption can be reduced by 14.9% and the total production time can be reduced by 9.8% with the optimized cutting parameters. This verifies the effectiveness and practicability of th</description><identifier>ISSN: 0577-6686</identifier><language>chi</language><publisher>Beijing: Chinese Mechanical Engineering Society (CMES)</publisher><subject>Algorithms ; Batch processing ; Cutting parameters ; Cutting tools ; Cutting wear ; Empirical analysis ; Energy consumption ; Mathematical models ; Multiple objective analysis ; Optimization ; Simulated annealing ; Synergistic effect ; Tool wear ; Turning (machining) ; Wear mechanisms</subject><ispartof>Ji xie gong cheng xue bao, 2021-01, Vol.57 (1), p.217</ispartof><rights>Copyright Chinese Mechanical Engineering Society (CMES) 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>314,776,780</link.rule.ids></links><search><creatorcontrib>Li, Congbo</creatorcontrib><creatorcontrib>Yu, Bisheng</creatorcontrib><creatorcontrib>Xiao, Qinge</creatorcontrib><creatorcontrib>Yan Sun, Xin Lü</creatorcontrib><title>A Cutting Parameter Energy-saving Optimization Method for CNC Turning Batch Processing Considering Tool Wear</title><title>Ji xie gong cheng xue bao</title><description>In a CNC batch turning process, the increased tool wear will lead to a significant raise of energy consumption. Due to the lack of researches on synergistic effect of tool wear and cutting parameters on energy consumption, this paper proposes an energy aware cutting parameter optimization approach for CNC batch turning by considering tool wear. Firstly, the synergistic mechanism of tool wear and cutting parameters on energy consumption of CNC batch turning is analyzed. On the basis, a multi-objective optimization model for minimizing energy consumption and production time is established with the variables of the cutting parameters under different tool wear conditions. Then a multi-objective simulated annealing algorithm is proposed to solve the optimization model. Compared with the empirical cutting parameters, the total energy consumption can be reduced by 14.9% and the total production time can be reduced by 9.8% with the optimized cutting parameters. This verifies the effectiveness and practicability of th</description><subject>Algorithms</subject><subject>Batch processing</subject><subject>Cutting parameters</subject><subject>Cutting tools</subject><subject>Cutting wear</subject><subject>Empirical analysis</subject><subject>Energy consumption</subject><subject>Mathematical models</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Simulated annealing</subject><subject>Synergistic effect</subject><subject>Tool wear</subject><subject>Turning (machining)</subject><subject>Wear mechanisms</subject><issn>0577-6686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqNjc0KwjAQhHNQUNR3WPBc0LZpvGpQvPhzKHiUqNsaqVndpII-vS34AJ5mmPmY6Yj-RCoVZdks64mR9_Y0mSaxiqVM-6Kag65DsK6EvWFzx4AMS4dcviNvXm2-ewR7tx8TLDnYYLjSBQpi0FsNec2uZRYmnK-wZzpjc9AEmpy3F-TW50QVHNDwUHQLU3kc_XQgxqtlrtfRg-lZow_HGzWDTXWM5VQqqdIsSf6jvoEvSRs</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Li, Congbo</creator><creator>Yu, Bisheng</creator><creator>Xiao, Qinge</creator><creator>Yan Sun, Xin Lü</creator><general>Chinese Mechanical Engineering Society (CMES)</general><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20210101</creationdate><title>A Cutting Parameter Energy-saving Optimization Method for CNC Turning Batch Processing Considering Tool Wear</title><author>Li, Congbo ; Yu, Bisheng ; Xiao, Qinge ; Yan Sun, Xin Lü</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_25157574633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Batch processing</topic><topic>Cutting parameters</topic><topic>Cutting tools</topic><topic>Cutting wear</topic><topic>Empirical analysis</topic><topic>Energy consumption</topic><topic>Mathematical models</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Simulated annealing</topic><topic>Synergistic effect</topic><topic>Tool wear</topic><topic>Turning (machining)</topic><topic>Wear mechanisms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Congbo</creatorcontrib><creatorcontrib>Yu, Bisheng</creatorcontrib><creatorcontrib>Xiao, Qinge</creatorcontrib><creatorcontrib>Yan Sun, Xin Lü</creatorcontrib><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Ji xie gong cheng xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Congbo</au><au>Yu, Bisheng</au><au>Xiao, Qinge</au><au>Yan Sun, Xin Lü</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Cutting Parameter Energy-saving Optimization Method for CNC Turning Batch Processing Considering Tool Wear</atitle><jtitle>Ji xie gong cheng xue bao</jtitle><date>2021-01-01</date><risdate>2021</risdate><volume>57</volume><issue>1</issue><spage>217</spage><pages>217-</pages><issn>0577-6686</issn><abstract>In a CNC batch turning process, the increased tool wear will lead to a significant raise of energy consumption. Due to the lack of researches on synergistic effect of tool wear and cutting parameters on energy consumption, this paper proposes an energy aware cutting parameter optimization approach for CNC batch turning by considering tool wear. Firstly, the synergistic mechanism of tool wear and cutting parameters on energy consumption of CNC batch turning is analyzed. On the basis, a multi-objective optimization model for minimizing energy consumption and production time is established with the variables of the cutting parameters under different tool wear conditions. Then a multi-objective simulated annealing algorithm is proposed to solve the optimization model. Compared with the empirical cutting parameters, the total energy consumption can be reduced by 14.9% and the total production time can be reduced by 9.8% with the optimized cutting parameters. This verifies the effectiveness and practicability of th</abstract><cop>Beijing</cop><pub>Chinese Mechanical Engineering Society (CMES)</pub></addata></record> |
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| ispartof | Ji xie gong cheng xue bao, 2021-01, Vol.57 (1), p.217 |
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| language | chi |
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| source | Alma/SFX Local Collection |
| subjects | Algorithms Batch processing Cutting parameters Cutting tools Cutting wear Empirical analysis Energy consumption Mathematical models Multiple objective analysis Optimization Simulated annealing Synergistic effect Tool wear Turning (machining) Wear mechanisms |
| title | A Cutting Parameter Energy-saving Optimization Method for CNC Turning Batch Processing Considering Tool Wear |
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