The present research deals with development and characterisation of magnesium–SiC–Gr hybrid composites through powder metallurgy route.Morphology analysis of the magnesium and reinforcement powder particles has been...The present research deals with development and characterisation of magnesium–SiC–Gr hybrid composites through powder metallurgy route.Morphology analysis of the magnesium and reinforcement powder particles has been carried out using particle size analyser(PSA)and X-ray diffraction(XRD),and then the mixed powders were analysed through scanning electron microscope(SEM).The developed composite exhibit increased hardness when compared to base material,which could be attributed to the presence of hard SiC.Furthermore,a slight decrease in hardness is observed for the hybrid composite when compared to Mg–SiC composite due to the presence of soft Gr particles.The tribological properties of the developed composite materials were investigated using pin-on-disc wear test apparatus under dry sliding conditions.The wear resistance of the developed composites improved significantly than that of the magnesium matrix due to the upright effect offered by both of the reinforcements.The SEM analysis was carried out on the worn out surfaces for better understanding of wear mechanisms.5%Gr reinforced Mg-10SiC composites confer better wear resistance among the developed composites.展开更多
The influence of rock dust size（10-30 μm） and mass fraction（5%-15%） on density, hardness and dry sliding wear behavior of Al 6061/rock dust composite processed through stir casting was investigated. Wear behavior...The influence of rock dust size（10-30 μm） and mass fraction（5%-15%） on density, hardness and dry sliding wear behavior of Al 6061/rock dust composite processed through stir casting was investigated. Wear behavior of the developed composite was characterized at different loads, sliding velocities and distances using pin-on-disc setup. The experiments were conducted based on Taguchi＇s L27 orthogonal array and the influence of process parameters on wear rate was studied using ANOVA. The experimental results reveal that the applied load and reinforcement size are the major parameters influencing the specific wear rate for all samples, followed by mass fraction of reinforcement, sliding velocity and sliding distance at the level of 47.61%, 28.57%, 19.04%, 9.52% and 4.76%, respectively. The developed regression equation was tested for its accuracy and made evident that it can be used for predicting the wear rate with minimal error. With the help of SEM images, the worn surfaces of the novel composite were studied and the analysis proves that the wear resistance of aluminium alloys can be well improved with the addition of rock dust as reinforcement.展开更多
文摘The present research deals with development and characterisation of magnesium–SiC–Gr hybrid composites through powder metallurgy route.Morphology analysis of the magnesium and reinforcement powder particles has been carried out using particle size analyser(PSA)and X-ray diffraction(XRD),and then the mixed powders were analysed through scanning electron microscope(SEM).The developed composite exhibit increased hardness when compared to base material,which could be attributed to the presence of hard SiC.Furthermore,a slight decrease in hardness is observed for the hybrid composite when compared to Mg–SiC composite due to the presence of soft Gr particles.The tribological properties of the developed composite materials were investigated using pin-on-disc wear test apparatus under dry sliding conditions.The wear resistance of the developed composites improved significantly than that of the magnesium matrix due to the upright effect offered by both of the reinforcements.The SEM analysis was carried out on the worn out surfaces for better understanding of wear mechanisms.5%Gr reinforced Mg-10SiC composites confer better wear resistance among the developed composites.
文摘The influence of rock dust size（10-30 μm） and mass fraction（5%-15%） on density, hardness and dry sliding wear behavior of Al 6061/rock dust composite processed through stir casting was investigated. Wear behavior of the developed composite was characterized at different loads, sliding velocities and distances using pin-on-disc setup. The experiments were conducted based on Taguchi＇s L27 orthogonal array and the influence of process parameters on wear rate was studied using ANOVA. The experimental results reveal that the applied load and reinforcement size are the major parameters influencing the specific wear rate for all samples, followed by mass fraction of reinforcement, sliding velocity and sliding distance at the level of 47.61%, 28.57%, 19.04%, 9.52% and 4.76%, respectively. The developed regression equation was tested for its accuracy and made evident that it can be used for predicting the wear rate with minimal error. With the help of SEM images, the worn surfaces of the novel composite were studied and the analysis proves that the wear resistance of aluminium alloys can be well improved with the addition of rock dust as reinforcement.
