Development of Low Expansion and High Strength Aluminum Matrix Hybrid Composite

Sethi, Jamuna; Das, Siddhartha; Das, Karabi

doi:10.1007/978-3-319-51541-0_26

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cu, Cu-SiC FGC was more corrosion-resistant than Cu-FGC at high-load, 10N, while the second one showed lower WR at lower loads, 20N [7]. The hybrid aluminum-matrix-composite reinforced with Y 2 W 3 O 12 (yttrium-tungsten) and (AIN) aluminum nitride was noted as a high hardness composite, a high Young's modulus and a low-CTE coefficient could be found by adding 15% by weight AlN and also 30% by weight Y 2 W 3 O 12 in matrix Al [8]. The reinforced aluminum composite with the reinforced particles of Al 2 O 3 and Al 3 Zr was made from metal powder and the results of dry sliding wear-tests clearly indicated that increasing the portion size of zirconium particles in the composite materials improved the wear resistance [9].…”

Section: Introductionmentioning

confidence: 91%

Study on Dry Sliding Wear Characteristics by Taguchi Analysis of Al-Mg-Si-Cu-SiC Composite Prepared by Powder Metallurgy Method

Behera

Samal²,

Khatua

et al. 2021

Trends Sci

View full text Add to dashboard Cite

There is a growing attention among researchers to the production of new composites with low-density and low-cost processes. Aluminum based metal-matrix composites (AMMC) offer solutions for new product development. In this paper, a newly developed Al-Mg-Si-Cu-SiC composite was manufactured by powder-metallurgy, and the wear mechanism of aluminum composite materials was carried out using the pin-on-disk method. The purpose of the experimental plan was to correlate the factors that influenced the wear operations in order to execute them with a minimal rate of wear and co-efficient of friction (COF). The experiment was based on the Taguchi design with OA (orthogonal arrays) to correspond to the effects of load applied, sliding speed, and distance. The design features are distinctive and integral attributes of the method, affecting and determining the wear characteristics of composites.The predictive models developed for various machining performance characteristics employing response surface methodology are effective in terms of adequate, statistically significant, and probabilistically validate because of their higher R2-values, P-values less than 0.05 and larger AD-test p-values. The data generated for the Al-Mg-Si-Cu-SiC AMMC will be useful for the industry. HIGHLIGHTS Preparation of AMMC through powder metallurgy method The WR decreases with the rise in wt% of SiC reinforced particles Taguchi orthogonal design model is best suited to examine dry sliding wear characteristics of an Al-0.5Si-0.5Mg-2.5Cu-10SiC composite Using the Taguchi-optimization method, it is more expedient to obtain the minimum WR of the composites GRAPHICAL ABSTRACT

show abstract

Section: Introductionmentioning

confidence: 91%