Effect of reinforcement and applied load on three-body dry sand abrasive wear behavior of A356 bottom ash metal matrix composites

2020 ◽  
Vol 26 ◽  
pp. 2814-2816
Author(s):  
H.S. Sridhar ◽  
S. Sanman ◽  
T.B. Prasad ◽  
Batluri Tilak Chandra
2000 ◽  
Vol 183-187 ◽  
pp. 1267-1272 ◽  
Author(s):  
J.I. Song ◽  
Sung In Bae ◽  
Kyung Chun Ham ◽  
Kyung Seop Han

Author(s):  
Arabinda Meher ◽  
Manas Mohan Mahapatra ◽  
Priyaranjan Samal ◽  
Pandu R. Vundavilli

In the present study, the statistical analysis on tribological behavior of RZ5/TiB2 magnesium-based metal matrix composites is carried out using Taguchi design and analysis of variance (ANOVA) technique. Taguchi analysis using signal-to-noise ratio indicates that the sliding distance and wt.% TiB2 are the most significant factors in evaluating weight loss and coefficient of friction, respectively. The regression equation is formulated utilizing the ANOVA technique to study the output responses based on the input abrasive wear test experimental results. The regression equation is validated through a comprehensive study taking a series of abrasive wear tests and indicates the percentage deviation of regression modeling is in the range of ± 10%. The individual and combined effect of wear parameters on tribological behavior are investigated through the main effect plots and response surface plots. The micrograph of the worn surface of RZ5/TiB2 composites is studied using field emission scanning electron microscope (FESEM), indicating the formation of an oxide layer on the worn surface.


2020 ◽  
Vol 29 (1) ◽  
pp. 57-68
Author(s):  
R. Suresh

AbstractIn the present study, aluminium metal matrix composites (AMMC’s) reinforced with boron carbide (B4C) and graphite (Gr) particles were prepared by stir casting method. Dry sliding wear behavior of developed composites was conducted on pin on disc apparatus with variation in sliding distance, applied load and sliding speed. Taguchi method was employed to optimize the data in a controlled way. Analysis of variance was employed to examine the wear behavior of base alloy (Al2219), mono (Al/B4C) and hybrid (Al/B4C/Gr) metal matrix composites. The correlations were established by linear regression models and validated using confirmation tests. The obtained results indicated that B4C content, sliding distance is highly affected by the dry sliding wear followed by sliding speed and applied load. The incorporation of B4C and Gr particles in aluminium improves the tribological characteristics. The SEM images of mono composite shows the deep grooves on worn surface. It demonstrates the signs of abrasive wear of mono composite. The hybrid composite exhibits excellent wear resistance when compared to mono composite and base alloy. The main reason of that is the Gr particles act as a solid lubricating material in the hybrid composite (Al/B4C/Gr).


Author(s):  
SV Sujith ◽  
Manas M Mahapatra ◽  
Rahul S Mulik

High strength Al-7079 aluminum metal-matrix composites with 5, 7 and 9 wt.% of TiC particulate reinforcement were procured by in-situ melt reaction method. Scanning electron microscopy (SEM) and XRD analysis were conducted in order to confirm the presence of titanium carbide (TiC) particles and homogeneity inside the aluminum matrix. The parameters like applied load (9.8–29.4 N), sliding distance (1000–2000 m), sliding velocity (1.5 m/s) and SiC-P-600 grit paper (25 µm) were used in this study. The influence of sliding distance, applied load and wt.% of (TiC) reinforcement on in-situ Al-7079 under two body abrasion was investigated. Further, the obtained results were compared with the base Al-7079 alloy. It was examined that, the in-situ reinforced composites exhibited significantly greater wear resistance of 20–60% compared to conventional as cast Al-7079 base matrix. Experimental results confirmed that the wt.% of TiC and sliding distance had higher influence on coefficient of friction and the weight loss was highly affected by the applied load. Further the wear mechanisms involved in the worn surfaces were demonstrated through atomic force microscopy and SEM analysis throughout the surfaces.


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