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Article

Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy

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Department of Mechatronics, Vocational School of Technical Sciences, Bingöl University, 12000 Bingöl, Turkey
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Department of Mechanical Engineering, Faculty of Engineering and Architecture, Bingöl University, 12000 Bingöl, Turkey
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Key Laboratory of High Efficiency and Clean Mechanical Manufacture, School of Mechanical Engineering, Shandong University, Ministry of Education, Jinan 250100, China
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Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia
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Mechanical Engineering Department, Technology Faculty, Selcuk University, 42130 Konya, Turkey
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Department of Mechanical Engineering, Sinop University, 57000 Sinop, Turkey
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Department of Mechanical Engineering, Imperial College London, South Kensington, London SW7 2AZ, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Stanislaw Legutko
Materials 2021, 14(8), 1921; https://doi.org/10.3390/ma14081921
Received: 15 March 2021 / Revised: 8 April 2021 / Accepted: 9 April 2021 / Published: 12 April 2021
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 (vC), feed rate (f), depth of cut (aP), and reinforcement ratio (RR). 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 RR = 5%, f = 0.25 mm/rev, aP = 0.25 mm, vC = 200 m/min for surface roughness, RR = 0%, f = 0.25 mm/rev and aP = 0.25 mm and vC = 200 m/min for flank wear and RR = 0%, f = 0.25 mm/rev, aP = 0.25 mm, vC = 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. View Full-Text
Keywords: Cu/Mo-SiCP; metal matrix composite; turning; machinability; parameter optimization Cu/Mo-SiCP; metal matrix composite; turning; machinability; parameter optimization
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MDPI and ACS Style

Şap, E.; Usca, Ü.A.; Gupta, M.K.; Kuntoğlu, M.; Sarıkaya, M.; Pimenov, D.Y.; Mia, M. Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy. Materials 2021, 14, 1921. https://doi.org/10.3390/ma14081921

AMA Style

Şap E, Usca ÜA, Gupta MK, Kuntoğlu M, Sarıkaya M, Pimenov DY, Mia M. Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy. Materials. 2021; 14(8):1921. https://doi.org/10.3390/ma14081921

Chicago/Turabian Style

Şap, Emine, Üsame A. Usca, Munish K. Gupta, Mustafa Kuntoğlu, Murat Sarıkaya, Danil Y. Pimenov, and Mozammel Mia. 2021. "Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy" Materials 14, no. 8: 1921. https://doi.org/10.3390/ma14081921

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