Multi-objective parameter optimization of ultrasonic vibration–assisted micro-EDM of Ti-6Al-4V alloys
Regarding the low machining efficiency and poor surface quality in micro-electrical discharge machining (μ-EDM) of large depth-to-diameter ratio micro-holes, this paper focuses on ultrasonic vibration–assisted multi-objective optimization in μ-EDM to achieve high material removal rate (MRR) and low...
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Veröffentlicht in: | Journal of vibration and control 2024-04, Vol.30 (7-8), p.1818-1828 |
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creator | Xu, Jinkai Xia, Shijie Yu, Peng Li, Mingyu |
description | Regarding the low machining efficiency and poor surface quality in micro-electrical discharge machining (μ-EDM) of large depth-to-diameter ratio micro-holes, this paper focuses on ultrasonic vibration–assisted multi-objective optimization in μ-EDM to achieve high material removal rate (MRR) and low tool wear rate (TWR). In this work, second-order quadratic models were developed for MRR and TWR, considering the peak voltage (Up), peak current (Ip), pulse width (Width), frequency (Freq.), ultrasonic amplitude (UA), and rotation speed (Rot.) as the machining parameters, using the Plackett–Burman design and Box–Behnken design. The developed models were used for multi-objective optimization by desirability function approach to determine the optimum machining parameters. The optimized parameters were processed for micro-holes, and it was found that the surface quality of the micro-holes was significantly improved. |
doi_str_mv | 10.1177/10775463231171798 |
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In this work, second-order quadratic models were developed for MRR and TWR, considering the peak voltage (Up), peak current (Ip), pulse width (Width), frequency (Freq.), ultrasonic amplitude (UA), and rotation speed (Rot.) as the machining parameters, using the Plackett–Burman design and Box–Behnken design. The developed models were used for multi-objective optimization by desirability function approach to determine the optimum machining parameters. 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In this work, second-order quadratic models were developed for MRR and TWR, considering the peak voltage (Up), peak current (Ip), pulse width (Width), frequency (Freq.), ultrasonic amplitude (UA), and rotation speed (Rot.) as the machining parameters, using the Plackett–Burman design and Box–Behnken design. The developed models were used for multi-objective optimization by desirability function approach to determine the optimum machining parameters. The optimized parameters were processed for micro-holes, and it was found that the surface quality of the micro-holes was significantly improved.</description><subject>Electric discharge machining</subject><subject>Material removal rate (machining)</subject><subject>Mathematical models</subject><subject>Microholes</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Process parameters</subject><subject>Pulse duration</subject><subject>Surface properties</subject><subject>Titanium base alloys</subject><subject>Tool wear</subject><subject>Ultrasonic vibration</subject><subject>Vibration</subject><subject>Wear rate</subject><issn>1077-5463</issn><issn>1741-2986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1UElOwzAUtRBIlMIB2Fli7eIfx0OWVSmD1IpNYRs5qVO5Supgu0hlxR24ISfBpUgsEJs_vvf-gNAl0BGAlNdApeS5YBlLKchCHaEByBxIVihxnOLUJ3vAKToLYU0pzXOgA7Sab9toiavWpo721eBee92ZaDx2fbSdfdPRug12DU5Ar4Pb2Bq_2sp_1z_fP3QINkSzxJ2tvSPTm_kevLBEjFuSP2Pdtm4XztFJo9tgLn78ED3dTheTezJ7vHuYjGekZpBFUohcFCrnRtW8EqaWVPFMUsZEU1cFKyCj6R66BE5BVlRyZdKVjCkOy6YRig3R1UG39-5la0Is127rN2lkyWiWhDJIZojggEobh-BNU_bedtrvSqDl_p_ln38mzujACXplflX_J3wB9CN0lA</recordid><startdate>202404</startdate><enddate>202404</enddate><creator>Xu, Jinkai</creator><creator>Xia, Shijie</creator><creator>Yu, Peng</creator><creator>Li, Mingyu</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-5373-4564</orcidid><orcidid>https://orcid.org/0000-0002-0111-8030</orcidid></search><sort><creationdate>202404</creationdate><title>Multi-objective parameter optimization of ultrasonic vibration–assisted micro-EDM of Ti-6Al-4V alloys</title><author>Xu, Jinkai ; Xia, Shijie ; Yu, Peng ; Li, Mingyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c312t-96469845e8c5b6ec7085270336fcb9391209860d15017b0758e17433851dff683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Electric discharge machining</topic><topic>Material removal rate (machining)</topic><topic>Mathematical models</topic><topic>Microholes</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Process parameters</topic><topic>Pulse duration</topic><topic>Surface properties</topic><topic>Titanium base alloys</topic><topic>Tool wear</topic><topic>Ultrasonic vibration</topic><topic>Vibration</topic><topic>Wear rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Jinkai</creatorcontrib><creatorcontrib>Xia, Shijie</creatorcontrib><creatorcontrib>Yu, Peng</creatorcontrib><creatorcontrib>Li, Mingyu</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of vibration and control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Jinkai</au><au>Xia, Shijie</au><au>Yu, Peng</au><au>Li, Mingyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-objective parameter optimization of ultrasonic vibration–assisted micro-EDM of Ti-6Al-4V alloys</atitle><jtitle>Journal of vibration and control</jtitle><date>2024-04</date><risdate>2024</risdate><volume>30</volume><issue>7-8</issue><spage>1818</spage><epage>1828</epage><pages>1818-1828</pages><issn>1077-5463</issn><eissn>1741-2986</eissn><abstract>Regarding the low machining efficiency and poor surface quality in micro-electrical discharge machining (μ-EDM) of large depth-to-diameter ratio micro-holes, this paper focuses on ultrasonic vibration–assisted multi-objective optimization in μ-EDM to achieve high material removal rate (MRR) and low tool wear rate (TWR). In this work, second-order quadratic models were developed for MRR and TWR, considering the peak voltage (Up), peak current (Ip), pulse width (Width), frequency (Freq.), ultrasonic amplitude (UA), and rotation speed (Rot.) as the machining parameters, using the Plackett–Burman design and Box–Behnken design. The developed models were used for multi-objective optimization by desirability function approach to determine the optimum machining parameters. The optimized parameters were processed for micro-holes, and it was found that the surface quality of the micro-holes was significantly improved.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/10775463231171798</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-5373-4564</orcidid><orcidid>https://orcid.org/0000-0002-0111-8030</orcidid></addata></record> |
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subjects | Electric discharge machining Material removal rate (machining) Mathematical models Microholes Multiple objective analysis Optimization Process parameters Pulse duration Surface properties Titanium base alloys Tool wear Ultrasonic vibration Vibration Wear rate |
title | Multi-objective parameter optimization of ultrasonic vibration–assisted micro-EDM of Ti-6Al-4V alloys |
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