Effect of Hybrid Machining Techniques on Machining Performance of In-House Developed Mg-PMMC
High demand of lightweight material makes magnesium alloys and composites more suitable to aerospace and automotive industries. However, poor corrosion resistance and fatigue resistance make its applications limited. Due to inherent capability of machining processes, the surface characteristics of t...
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Veröffentlicht in: | Transactions of the Indian Institute of Metals 2019-07, Vol.72 (7), p.1799-1807 |
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creator | Khanna, Navneet Suri, N. M. Agrawal, Chetan Shah, Prassan Krolczyk, Grzegorz M. |
description | High demand of lightweight material makes magnesium alloys and composites more suitable to aerospace and automotive industries. However, poor corrosion resistance and fatigue resistance make its applications limited. Due to inherent capability of machining processes, the surface characteristics of the component can be improved. Many articles reported improvement in machinability of different difficult-to-machine materials while using ultrasonic-assisted turning (UAT) process and cryogenic-assisted turning individually. In this paper, the newly developed cryogenic–ultrasonic-assisted turning (CUAT) technique is used for the machining of in-house developed magnesium AZ91/SiC particulate metal matrix composite (PMMC). In this study, surface roughness and chip breakability index are measured under different machining methods, i.e. conventional turning (CT), UAT and CUAT. The full factorial method is used to design the experiments. A regression model of surface roughness is developed for CT and UAT processes and optimized using Jaya algorithm. Our results provide evidence of improvement in surface finish for UAT of magnesium AZ91/SiC PMMC in comparison with CT. An improvement up to 36.50% and 15% has been observed in surface roughness and chip breakability index, respectively, with CUAT process as compared to UAT process at optimized cutting parameters of the UAT process. |
doi_str_mv | 10.1007/s12666-019-01652-w |
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In this study, surface roughness and chip breakability index are measured under different machining methods, i.e. conventional turning (CT), UAT and CUAT. The full factorial method is used to design the experiments. A regression model of surface roughness is developed for CT and UAT processes and optimized using Jaya algorithm. Our results provide evidence of improvement in surface finish for UAT of magnesium AZ91/SiC PMMC in comparison with CT. An improvement up to 36.50% and 15% has been observed in surface roughness and chip breakability index, respectively, with CUAT process as compared to UAT process at optimized cutting parameters of the UAT process.</description><identifier>ISSN: 0972-2815</identifier><identifier>EISSN: 0975-1645</identifier><identifier>DOI: 10.1007/s12666-019-01652-w</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Aerospace industry ; Algorithms ; Alloy development ; Automobile industry ; Automotive engineering ; Chemistry and Materials Science ; Corrosion and Coatings ; Corrosion fatigue ; Corrosion resistance ; Cutting parameters ; Fatigue strength ; Fuel consumption ; Machinability ; Magnesium ; Magnesium base alloys ; Materials Science ; Metal matrix composites ; Metallic Materials ; Particulate composites ; Process parameters ; Regression models ; Surface finish ; Surface properties ; Surface roughness ; Technical Paper ; Tribology ; Turning (machining)</subject><ispartof>Transactions of the Indian Institute of Metals, 2019-07, Vol.72 (7), p.1799-1807</ispartof><rights>The Indian Institute of Metals - IIM 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-87f848a0bbebf0579ea0d641a0e2cde115d286bd706d6d953928db5a1e51a85f3</citedby><cites>FETCH-LOGICAL-c319t-87f848a0bbebf0579ea0d641a0e2cde115d286bd706d6d953928db5a1e51a85f3</cites><orcidid>0000-0002-5762-1989</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/s12666-019-01652-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12666-019-01652-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27931,27932,41495,42564,51326</link.rule.ids></links><search><creatorcontrib>Khanna, Navneet</creatorcontrib><creatorcontrib>Suri, N. M.</creatorcontrib><creatorcontrib>Agrawal, Chetan</creatorcontrib><creatorcontrib>Shah, Prassan</creatorcontrib><creatorcontrib>Krolczyk, Grzegorz M.</creatorcontrib><title>Effect of Hybrid Machining Techniques on Machining Performance of In-House Developed Mg-PMMC</title><title>Transactions of the Indian Institute of Metals</title><addtitle>Trans Indian Inst Met</addtitle><description>High demand of lightweight material makes magnesium alloys and composites more suitable to aerospace and automotive industries. However, poor corrosion resistance and fatigue resistance make its applications limited. Due to inherent capability of machining processes, the surface characteristics of the component can be improved. Many articles reported improvement in machinability of different difficult-to-machine materials while using ultrasonic-assisted turning (UAT) process and cryogenic-assisted turning individually. In this paper, the newly developed cryogenic–ultrasonic-assisted turning (CUAT) technique is used for the machining of in-house developed magnesium AZ91/SiC particulate metal matrix composite (PMMC). In this study, surface roughness and chip breakability index are measured under different machining methods, i.e. conventional turning (CT), UAT and CUAT. The full factorial method is used to design the experiments. A regression model of surface roughness is developed for CT and UAT processes and optimized using Jaya algorithm. Our results provide evidence of improvement in surface finish for UAT of magnesium AZ91/SiC PMMC in comparison with CT. 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M.</au><au>Agrawal, Chetan</au><au>Shah, Prassan</au><au>Krolczyk, Grzegorz M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of Hybrid Machining Techniques on Machining Performance of In-House Developed Mg-PMMC</atitle><jtitle>Transactions of the Indian Institute of Metals</jtitle><stitle>Trans Indian Inst Met</stitle><date>2019-07-01</date><risdate>2019</risdate><volume>72</volume><issue>7</issue><spage>1799</spage><epage>1807</epage><pages>1799-1807</pages><issn>0972-2815</issn><eissn>0975-1645</eissn><abstract>High demand of lightweight material makes magnesium alloys and composites more suitable to aerospace and automotive industries. However, poor corrosion resistance and fatigue resistance make its applications limited. Due to inherent capability of machining processes, the surface characteristics of the component can be improved. Many articles reported improvement in machinability of different difficult-to-machine materials while using ultrasonic-assisted turning (UAT) process and cryogenic-assisted turning individually. In this paper, the newly developed cryogenic–ultrasonic-assisted turning (CUAT) technique is used for the machining of in-house developed magnesium AZ91/SiC particulate metal matrix composite (PMMC). In this study, surface roughness and chip breakability index are measured under different machining methods, i.e. conventional turning (CT), UAT and CUAT. The full factorial method is used to design the experiments. A regression model of surface roughness is developed for CT and UAT processes and optimized using Jaya algorithm. Our results provide evidence of improvement in surface finish for UAT of magnesium AZ91/SiC PMMC in comparison with CT. 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subjects | Aerospace industry Algorithms Alloy development Automobile industry Automotive engineering Chemistry and Materials Science Corrosion and Coatings Corrosion fatigue Corrosion resistance Cutting parameters Fatigue strength Fuel consumption Machinability Magnesium Magnesium base alloys Materials Science Metal matrix composites Metallic Materials Particulate composites Process parameters Regression models Surface finish Surface properties Surface roughness Technical Paper Tribology Turning (machining) |
title | Effect of Hybrid Machining Techniques on Machining Performance of In-House Developed Mg-PMMC |
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