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Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy
被引:48
作者:
Sap, Emine
[1
]
Usca, Usame Ali
[2
]
Gupta, Munish Kumar
[3
,4
]
Kuntoglu, Mustafa
[5
]
Sarikaya, Murat
[6
]
Pimenov, Danil Yurievich
[4
]
Mia, Mozammel
[7
]
机构:
[1] Bingol Univ, Vocat Sch Tech Sci, Dept Mechatron, TR-12000 Bingol, Turkey
[2] Bingol Univ, Dept Mech Engn, Fac Engn & Architecture, TR-12000 Bingol, Turkey
[3] Shandong Univ, Sch Mech Engn, Minist Educ, Key Lab High Efficiency & Clean Mech Mfg, Jinan 250100, Peoples R China
[4] South Ural State Univ, Dept Automated Mech Engn, Lenin Prosp 76, Chelyabinsk 454080, Russia
[5] Selcuk Univ, Technol Fac, Mech Engn Dept, TR-42130 Konya, Turkey
[6] Sinop Univ, Dept Mech Engn, TR-57000 Sinop, Turkey
[7] Imperial Coll London, Dept Mech Engn, London SW7 2AZ, England
来源:
关键词:
Cu/Mo-SiCP;
metal matrix composite;
turning;
machinability;
parameter optimization;
SURFACE METHODOLOGY RSM;
MECHANICAL-PROPERTIES;
TOOL WEAR;
MATRIX COMPOSITES;
CUTTING FORCES;
MULTIOBJECTIVE OPTIMIZATION;
MACHINABILITY CHARACTERISTICS;
ROUGHNESS;
PERFORMANCE;
MQL;
D O I:
10.3390/ma14081921
中图分类号:
O64 [物理化学(理论化学)、化学物理学];
学科分类号:
070304 ;
081704 ;
摘要:
The features of composite materials such as production flexibility, lightness, and excellent strength put them in the class of materials that attract attention in various critical areas, i.e., aerospace, defense, automotive, and shipbuilding. However, the machining of composite materials displays challenges due to the difficulty in obtaining structural integrity. In this study, Cu/Mo-SiCP composite materials were produced by powder metallurgy with varied reinforcement ratios and then their machinability was investigated. In machinability experiments, the process parameters were selected as cutting speed (v(C)), feed rate (f), depth of cut (a(P)), and reinforcement ratio (R-R). Two levels of these parameters were taken as per the Taguchi's L8 orthogonal array, and response surface methodology (RSM) is employed for parametric optimization. As a result, the outcomes demonstrated that R-R = 5%, f = 0.25 mm/rev, a(P) = 0.25 mm, v(C) = 200 m/min for surface roughness, R-R = 0%, f = 0.25 mm/rev and a(P) = 0.25 mm and v(C) = 200 m/min for flank wear and R-R = 0%, f = 0.25 mm/rev, a(P) = 0.25 mm, v(C) = 150 m/min for cutting temperature for cutting temperature and flank wear should be selected for the desired results. In addition, ANOVA results indicate that reinforcement ratio is the dominant factor on all response parameters. Microscope images showed that the prominent failure modes on the cutting tool are flank wear, built up edge, and crater wear depending on reinforcement ratio.
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页数:20
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