scholarly journals Effect of Re-Aging on Strength, Corrosion and Dry Sliding Wear Behavior of 7075 Aluminum Alloy

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Neeraj Kumar ◽  
Manoranjan Kumar Manoj ◽  
Ranjan Haldar
Keyword(s):  
Aluminum Alloy ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
7075 Aluminum Alloy

Investigation on Mechanical Properties and Analysis of Dry Sliding Wear Behavior of Al LM13/AlN Metal Matrix Composite Based on Taguchi's Technique

2017 ◽  
Vol 139 (4) ◽  
Author(s):  
N. Radhika ◽  
R. Raghu
Keyword(s):  
Regression Analysis ◽  
Aluminum Alloy ◽  
Tensile Test ◽  
Metal Matrix ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Ratio Analysis ◽  
Sliding Distance

LM13/AlN (10 wt. %) metal matrix composites (MMC) and unreinforced aluminum alloy were produced under stir casting route. Microstructural characteristics were examined on the developed composite using optical microscope. The hardness and tensile test were carried out on both unreinforced aluminum alloy and composite using Vickers hardness tester and universal testing machine (UTM), respectively. Dry sliding wear behavior of the composite and unreinforced aluminum alloy was evaluated using pin-on-disk tribometer based on the design of experiments approach. Experimental parameters such as applied load (10, 20, and 30 N), velocity (1, 2, and 3 m/s), and sliding distance (500, 1000, and 1500 m) were varied for three levels. Signal-to-noise (S/N) ratio analysis, analysis of variance, and regression analysis were also performed. The characterization results showed that reinforcement particles were uniformly distributed in the composite. The hardness and tensile test revealed greater improvement of property in composite compared to that of unreinforced alloy. Wear plot showed that wear was increased with increase in load and decreased with increase in velocity and sliding distance. S/N ratio analysis and analysis of variance (ANOVA) indicated that load has greater significance over the wear rate followed by velocity and sliding distance. Regression analysis revealed greater adequacy with the constructed model in predicting the wear behavior of composite and unreinforced aluminum alloy. Scanning electron microscopy (SEM) analysis is evident that the transition of wear from mild to severe occurred on increase of the load in the composite.

scholarly journals Dry sliding wear behavior of AA6061 aluminum alloy composites reinforced rice husk ash particulates produced using compocasting

2017 ◽  
Vol 5 (2) ◽  
pp. 127-135 ◽  
Author(s):  
J. Allwyn Kingsly Gladston ◽  
I. Dinaharan ◽  
N. Mohamed Sheriff ◽  
J. David Raja Selvam
Keyword(s):  
Aluminum Alloy ◽  
Rice Husk ◽  
Sliding Wear ◽  
Rice Husk Ash ◽  
Wear Behavior ◽  
Dry Sliding Wear ◽  
Dry Sliding

Multi-response optimization of AA 8011 and 12 wt.-% fly ash composites

2020 ◽  
Vol 62 (5) ◽  
pp. 525-534
Author(s):  
S. Magibalan ◽  
P. Senthilkumar ◽  
C. Senthilkumar ◽  
M. Prabu
Keyword(s):  
Aluminum Alloy ◽  
Fly Ash ◽  
Measurement Errors ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Research Work ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Sliding Velocity ◽  
Response Characteristics

Abstract The present research work is focused on the production of aluminum alloy 8011 with 12 wt.-% fly ash composite by using the stir casting method. A three-level central composite design experiment is developed using response surface methodology (RSM) with various parameters. Load, time and sliding velocity are varied in the range of (5-15 N), (5-15 min) and (1.5-4.5 m × s-1), respectively. Dry sliding wear tests are performed as per the experimental design using a pin-on-disc at room temperature. This paper describes how optimization studies were carried out on a dry sliding wear process with multi-response characteristics based on MCDM using the TOPSIS approach. The process parameters, load, time and sliding velocity are optimized with multi-response characteristics, including the wear rate (WR), and the coefficient of friction (COF). A sensitivity analysis is also carried out and compared with the relative impact of input parameters on wear behavior in order to verify the measurement errors on the values of the uncertainty in estimated parameters. The experimental results indicate that the multi-response characteristics of aluminum alloy 8011 with 12 wt.-% fly ash composite used during the wear behavior process can be enhanced through the TOPSIS method.

Dry Sliding Wear Behavior of Silicon Carbide Particulate Reinforced AA6061 Aluminum Alloy Composites Produced via Stir Casting

2014 ◽  
Vol 984-985 ◽  
pp. 221-226
Author(s):  
J. Jebeen Moses ◽  
S. Joseph Sekhar
Keyword(s):  
Aluminum Alloy ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Aluminum Matrix ◽  
Stir Casting ◽  
Dry Sliding Wear ◽  
Aluminum Matrix Composites ◽  
Dry Sliding ◽  
Sic Particles ◽  
Silicon Carbide Particulate

Stir casting is an economical method to produce aluminum matrix composites (AMCs). In the present work, Aluminum alloy AA6061 reinforced with various amounts (0, 5, 10 and 15wt. %) of SiC particles were prepared. The matrix alloy was melted in a furnace and stirred to form a vortex. SiC particles were added to the periphery of the vortex and the composite melt was solidified in a permanent mold. The microstructures of the AMCs were studied using optical and scanning electron microscopy. SiC particles were observed to refine the grains and were distributed homogeneously in the aluminum matrix. SiC particle clusters were also seen in a few places. SiC particles were properly bonded to the aluminum matrix. Dry sliding wear behavior was analyzed by Pin on Disc apparatus. The reinforcement of SiC particles improved the wear resistance of the AMCs.The details of worn surface and wear debris are also presented in this paper.

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