Integrating Optimization of Cutter Diameter and Cutting Parameters for Energy-aware Multi-tool Hole Machining
During CNC machining, cutter diameter and cutting parameter dramatically affect the energy consumption of the final product. Compared with single optimization of cutter diameter or cutting parameters, the energy consumption can be further reduced by an integrating optimization of the both. In order...
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| Veröffentlicht in: | Ji xie gong cheng xue bao 2018, Vol.54 (15), p.221 |
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| container_title | Ji xie gong cheng xue bao |
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| creator | CHEN, Xingzheng |
| description | During CNC machining, cutter diameter and cutting parameter dramatically affect the energy consumption of the final product. Compared with single optimization of cutter diameter or cutting parameters, the energy consumption can be further reduced by an integrating optimization of the both. In order to conduct an integrating optimization of cutter diameter and cutting parameters for energy-aware multi-tool hole machining, the machining time and energy consumption of multi-tool hole machining is firstly analyzed. Then a multi-objective optimization model for minimizing machining time and energy consumption is proposed and solved by a multi-objective particle swarm optimization algorithm. Finally, the necessity of integrating optimization of cutter diameter and cutting parameters is presented and the proposed model is validated by case studies. |
| doi_str_mv | 10.3901/JME.2018.15.221 |
| format | Article |
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Compared with single optimization of cutter diameter or cutting parameters, the energy consumption can be further reduced by an integrating optimization of the both. In order to conduct an integrating optimization of cutter diameter and cutting parameters for energy-aware multi-tool hole machining, the machining time and energy consumption of multi-tool hole machining is firstly analyzed. Then a multi-objective optimization model for minimizing machining time and energy consumption is proposed and solved by a multi-objective particle swarm optimization algorithm. Finally, the necessity of integrating optimization of cutter diameter and cutting parameters is presented and the proposed model is validated by case studies.</description><identifier>ISSN: 0577-6686</identifier><identifier>DOI: 10.3901/JME.2018.15.221</identifier><language>eng</language><publisher>Beijing: Chinese Mechanical Engineering Society (CMES)</publisher><subject>Cutting parameters ; Energy consumption ; Energy management ; Machine shops ; Machining ; Mathematical models ; Multiple objective analysis ; Numerical controls ; Particle swarm optimization</subject><ispartof>Ji xie gong cheng xue bao, 2018, Vol.54 (15), p.221</ispartof><rights>Copyright Chinese Mechanical Engineering Society (CMES) 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1551-c0c53117ec9edf9756cb6eb578de74e620fe8a4d274e644fa83ad160389834853</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>CHEN, Xingzheng</creatorcontrib><title>Integrating Optimization of Cutter Diameter and Cutting Parameters for Energy-aware Multi-tool Hole Machining</title><title>Ji xie gong cheng xue bao</title><description>During CNC machining, cutter diameter and cutting parameter dramatically affect the energy consumption of the final product. Compared with single optimization of cutter diameter or cutting parameters, the energy consumption can be further reduced by an integrating optimization of the both. In order to conduct an integrating optimization of cutter diameter and cutting parameters for energy-aware multi-tool hole machining, the machining time and energy consumption of multi-tool hole machining is firstly analyzed. Then a multi-objective optimization model for minimizing machining time and energy consumption is proposed and solved by a multi-objective particle swarm optimization algorithm. Finally, the necessity of integrating optimization of cutter diameter and cutting parameters is presented and the proposed model is validated by case studies.</description><subject>Cutting parameters</subject><subject>Energy consumption</subject><subject>Energy management</subject><subject>Machine shops</subject><subject>Machining</subject><subject>Mathematical models</subject><subject>Multiple objective analysis</subject><subject>Numerical controls</subject><subject>Particle swarm optimization</subject><issn>0577-6686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNotkL1PwzAQxT2ARCnMrJaYk_rs-CMjKoUWtSoDzJab2CVVEhfHEWr_ehLKdPee3t2Tfgg9AElZTmD2tlmklIBKgaeUwhWaEC5lIoQSN-i26w6EsFxSmKBm1Ua7DyZW7R5vj7FqqvMgfIu9w_M-Rhvwc2UaOy6mLf-8MftuwsXtsPMBL1ob9qfE_Jhg8aavY5VE72u89PWgTfFVtcPVHbp2pu7s_f-cos-Xxcd8may3r6v50zopgHNIClJwBiBtkdvS5ZKLYifsjktVWplZQYmzymQlHUWWOaOYKUEQpnLFMsXZFD1e_h6D_-5tF_XB96EdKjUFykBQysfU7JIqgu-6YJ0-hqox4aSB6JGjHjjqkaMGrgeO7BesnWhj</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>CHEN, Xingzheng</creator><general>Chinese Mechanical Engineering Society (CMES)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>2018</creationdate><title>Integrating Optimization of Cutter Diameter and Cutting Parameters for Energy-aware Multi-tool Hole Machining</title><author>CHEN, Xingzheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1551-c0c53117ec9edf9756cb6eb578de74e620fe8a4d274e644fa83ad160389834853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Cutting parameters</topic><topic>Energy consumption</topic><topic>Energy management</topic><topic>Machine shops</topic><topic>Machining</topic><topic>Mathematical models</topic><topic>Multiple objective analysis</topic><topic>Numerical controls</topic><topic>Particle swarm optimization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CHEN, Xingzheng</creatorcontrib><collection>CrossRef</collection><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>CHEN, Xingzheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating Optimization of Cutter Diameter and Cutting Parameters for Energy-aware Multi-tool Hole Machining</atitle><jtitle>Ji xie gong cheng xue bao</jtitle><date>2018</date><risdate>2018</risdate><volume>54</volume><issue>15</issue><spage>221</spage><pages>221-</pages><issn>0577-6686</issn><abstract>During CNC machining, cutter diameter and cutting parameter dramatically affect the energy consumption of the final product. Compared with single optimization of cutter diameter or cutting parameters, the energy consumption can be further reduced by an integrating optimization of the both. In order to conduct an integrating optimization of cutter diameter and cutting parameters for energy-aware multi-tool hole machining, the machining time and energy consumption of multi-tool hole machining is firstly analyzed. Then a multi-objective optimization model for minimizing machining time and energy consumption is proposed and solved by a multi-objective particle swarm optimization algorithm. Finally, the necessity of integrating optimization of cutter diameter and cutting parameters is presented and the proposed model is validated by case studies.</abstract><cop>Beijing</cop><pub>Chinese Mechanical Engineering Society (CMES)</pub><doi>10.3901/JME.2018.15.221</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
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| ispartof | Ji xie gong cheng xue bao, 2018, Vol.54 (15), p.221 |
| issn | 0577-6686 |
| language | eng |
| recordid | cdi_proquest_journals_2123162255 |
| source | Alma/SFX Local Collection |
| subjects | Cutting parameters Energy consumption Energy management Machine shops Machining Mathematical models Multiple objective analysis Numerical controls Particle swarm optimization |
| title | Integrating Optimization of Cutter Diameter and Cutting Parameters for Energy-aware Multi-tool Hole Machining |
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