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EN
The tribological properties of composites based on 316L steel reinforced with zirconium diboride (5 and 10 wt.%) were described. The composites were fabricated by the spark plasma sintering (SPS) method. Wear resistance tests were carried out using the ball-on-disc method at room temperature under dry friction conditions. Countersamples made of SiC, Si3N4, ZrO2 and AISI52100 steel were used in the tests. The determined parameters included the coefficient of friction μ, mass loss m and specific wear rate Ws(disc). After the tribological tests, the surfaces of the samples were examined under a confocal microscope. The obtained research results showed that the tribological properties depend on the test conditions (the type of countersample) and on the content of the ZrB2 reinforcing phase.
PL
Przedstawiono właściwości tribologiczne kompozytow na osnowie stali 316L wzmocnionych diborkiem cyrkonu (5 i 10% wag.). Kompozyty zostały wytworzone z zastosowaniem metody Spark Plasma Sintering (SPS). Badania odporności na zużycie przeprowadzono, wykorzystując metodę ball-on-disc w temperaturze pokojowej w warunkach tarcia suchego. Testy przeprowadzono, stosując następujące przeciwprobki: SiC, Si3N4, ZrO2 i stal AISI52100. Wyznaczono współczynnik tarcia μ, ubytek masy m i wskaźnik zużycia Ws(disc). Powierzchnie probek po testach tribologicznych obserwowano za pomocą mikroskopu konfokalnego. Uzyskane wyniki badań wykazały, że właściwości tribologiczne zależą od warunkow badań (rodzaju przeciwprobki) i ilość fazy wzmacnianej ZrB2.
EN
The present study aimed to analyze the wear behaviour of composites synthesized by reinforcing Al 4032 with 2, 4, 6 wt.% of coal ash using the stir casting technique. Wear testing was performed on the composites at room temperature in the absence of lubrication using a pin-on-disc tribometer considering the process parameters as wt.% of reinforcement, speed and load. Micro structural characterization using scanning electron microscope (SEM) and energy dispersive X-ray analysis (EDX) was performed on the cast composites to ascertain the existence of the reinforcement along with its distribution in the prepared composites. The Taguchi L16 orthogonal array was utilized to design experiments to study the significance of the process parameters on the wear rate. A mathematical model was developed for the wear rate using response surface methodology (RSM). 6 wt.% reinforcement, at the speed of 100 rpm and 10 N load were the obtained optimized parameters for the minimum wear rate. Surface plots as well as contour plots were analyzed to understand the consequence of the process parameters on the wear rate. The analysis of variance (ANOVA) revealed that speed with 76.10 % was the most prominent parameter followed by load and reinforcement with 11.23 and 9.42% respectively.
3
Content available remote Investigation of mechanical and tribological behavior of Al 4032-SiHGM MMC
EN
The present study is aimed at identifying the influence of silicon hollow glass microspheres (SiHGM) on a newly engineered metal matrix composite. Silicon micro balloons of various wt.% (2, 4, 6) are reinforced in to aluminium 4032 to produce a composite using the stir casting technique. The mechanical properties of the composite such as hardness, tensile and compressive strength were measured. The dry sliding wear test was conducted on the produced specimens to measure the wear rate and coefficient of friction. The results revealed that the properties of the composite are better with an increase in the wt.% of reinforcement. The presence of reinforcement in the composites was identified using Energy Dispersive X-Ray analysis (EDX). The grain boundaries and grain refinement for various compositions of reinforcements and worn surfaces were analyzed using Scanning Electron Microscope (SEM) micrographs. The process parameters for the minimum wear rate and coefficient of friction were identified and optimized by using the Taguchi L16 orthogonal array. Analysis of variance (ANOVA) was used to determine the percentage contribution of each process parameter. Multi-response optimization was carried out using Grey relational analysis (GRA) to optimize the process parameters to attain a minimum coefficient of friction and wear rate. The variation in wear rate and coefficient of friction are analyzed with respect to reinforcement (wt.%), speed (rpm) and load (N).
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