Microstructure, mechanical and wear behavior of LM24/SiC/MoS 2 hybrid composites produced via liquid metallurgy process

Silicon carbide (SiC) and Molybdenum disulphide (MoS 2 ) has been expected broad contemplation is a potential strengthening particulate for metal matrix composites (MMCs) to enhance the mechanical and wear behaviors. The purpose of this study is to process and investigate the mechanical characterist...

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Veröffentlicht in:Surface topography metrology and properties 2022-03, Vol.10 (1), p.15015
Hauptverfasser: Hariharan, S R, Mahendran, S, Meignanamoorthy, M, Ravichandran, M
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Ravichandran, M
description Silicon carbide (SiC) and Molybdenum disulphide (MoS 2 ) has been expected broad contemplation is a potential strengthening particulate for metal matrix composites (MMCs) to enhance the mechanical and wear behaviors. The purpose of this study is to process and investigate the mechanical characteristics of LM 24/SiC/MoS 2 composites. These composites were fabricated via the stir casting process from the prepared arrangements of LM 24/SiC/MoS 2 with various weight proportions. The following proportions are pure LM 24, LM24-3wt%SiC-1wt%MoS 2 , LM24-6wt%SiC-1wt%MoS 2 and LM24-9wtSiC-1wt%MoS 2 . The scanning electron microscope (SEM) utilized to inspect the micrographs on processed composites. The SEM micrographs interpret identical dispersion of SiC with LM 24. The influence of SiC weight percentage on the physical properties like density, relative density & porosity and mechanical properties like tensile, compression, hardness, impact and flexural strength and tribological behavior were investigated. The processed LM24-9wt%SiC-1wt%MoS 2 composites compose the enhanced mechanical properties. The wear performance was studied throughout the pin on disc device with various wear process parameters. These parameters are load, Sliding velocity and distance. Finally, these parameters are framed via the L16 orthogonal array and to attain the minimum wear rate and coefficient of friction from the optimal process parameters by Grey Relational Analysis (GRA). The optimal parameters for wear rate and coefficient of friction are LM24-9wt%SiC-1wt%MoS 2 and followed by the wear parameters namely load 15N, sliding velocity 2 m s −1 and sliding distance 1600 m, respectively. The ANOVA outcomes uncovers that the load is the most significant parameter for wear rate and coefficient of friction.
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