Optimization on Wear Behavior of Al-12Si Alloy Reinforced with ZrC Nano Particle using Factorial Design

John, Christopher; Paul, R. Christu; Singh, S. Christopher Ezhil; Jacobjose, J.; Kumar, T.R. Hemanth

doi:10.5958/2249-7315.2017.00218.0

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Poria et al [26] studied wear behavior of Al-TiB2 composites using Taguchi based L27 orthogonal array design matrix. Wear and friction behaviour of pure aluminium, Al alloy (Al-112Si) reinforced with ZrC with various percentage combinations was studied by [27] using full factorial experimental design.…”

Section: Introductionmentioning

confidence: 99%

Tribological Behavoiur of Silicon Carbide/ Rice Husk ash Reinforced Al7075 Hybrid Composites Using Optimization Techniques

Sudhakaran

2021

Preprint

View full text Add to dashboard Cite

In this paper, aluminium alloy Al7075 was reinforced with silicon carbide (SiC) particles and rice husk ash to improve hardness and wear resistance. The SiC particulate and rice husk ash composition in composite were taken in five different proportions such as 3%, 6%, 9%, 12% and 15% for % of SiC particulates and 2%, 4%, 6%, 8% and 10% for % of rice husk ash. Nine different compositions to cater the above proportions were fabricated using stir casting technique. Microstructure examination was conducted on the prepared specimen using optical microscope to determine the homogeneity of reinforced particle distribution. The tribological properties were examined by measuring the wear on the prepared specimen using pin on disc apparatus. The input parameters considered were materials factor such as % of SiC and % of rice husk ash and mechanical wear factors such as load applied, speed of rotation and sliding distance. The design of experiment technique, central composite design (CCD) was employed for conducting experiments with different combination of parameters. Empirical relationship was devised to predict wear of the composite specimen in terms of parameters such as % SiC, % of rice husk ash, load applied, speed of rotation and sliding distance. The empirical relations adequacy was tested using Analysis of variance (ANOVA). The direct and interaction effect of input parameters on wear were analyzed which helps to determine the significance of these parameters. Microstructure examinations were conducted to analyze assimilation and uniform distribution of reinforcement particles in prepared composites. Optimization of process parameter was obtained for minimum wear using genetic algorithm.

show abstract

Section: Introductionmentioning

confidence: 99%

Tribological Behavoiur of Silicon Carbide/ Rice Husk ash Reinforced Al7075 Hybrid Composites Using Optimization Techniques

Sudhakaran

2021

Preprint

View full text Add to dashboard Cite

show abstract

Optimization on Wear Behavior of Al-12Si Alloy Reinforced with ZrC Nano Particle using Factorial Design

Cited by 1 publication

References 0 publications

Tribological Behavoiur of Silicon Carbide/ Rice Husk ash Reinforced Al7075 Hybrid Composites Using Optimization Techniques

Tribological Behavoiur of Silicon Carbide/ Rice Husk ash Reinforced Al7075 Hybrid Composites Using Optimization Techniques

Contact Info

Product

Resources

About