2011
DOI: 10.1016/j.jmatprotec.2011.03.015
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Abrasive wear behavior of Ni–P coated Si3N4 reinforced Al6061 composites

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Cited by 33 publications
(20 citation statements)
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“…Aluminium matrix composites are well known for their light weight, wear resistance and high strength properties. Among the widely used micron size particulates to reinforce aluminium matrix were TiB 2 , TiC, Si 3 N 4 , SiC, Al 2 O 3 and B 4 C [1][2][3]. But since last couple of decades lot of research is going on reinforcing them with nanosize materials such as Al 2 O 3 , CNT and graphene [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Aluminium matrix composites are well known for their light weight, wear resistance and high strength properties. Among the widely used micron size particulates to reinforce aluminium matrix were TiB 2 , TiC, Si 3 N 4 , SiC, Al 2 O 3 and B 4 C [1][2][3]. But since last couple of decades lot of research is going on reinforcing them with nanosize materials such as Al 2 O 3 , CNT and graphene [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Carbon fibers are reported to have very high strength and modulus coupled with excelent lubricity and wear resistance [7]. Owing to these benefits it has been extensively used as reinforcements in discontinous form to develop metal matrix composites with imporoved toughness and tribological properties with reduced friction and wear [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…In addition the presence of aggressive corrosive media especially in industries such as slurry handling plants will accelerate the component wear leading to catastrophic failures [5]. Hence, serious attempts have been made by researchers to focus on the experimental determination of different modes of wear with regard to aluminum and its alloys under several operating conditions using standard test procedures [6][7][8][9]. However, these standard techniques for assessing their wear properties are sometimes complex and may not simulate the actual working operating conditions leading to spurious and unrealistic data.…”
Section: Introductionmentioning
confidence: 99%