This research studies the wear characteristic of Al-based composite material. Stir casting technique was used to fabricate composite samples of Al-6061 and Al-6061 reinforced with different percentage ages (5%, 10%, 15% weight) of silicon carbide particles (SiC). Abrasive wear behavior of composite was studied by dry sliding pin on disc method. Different parameters were taken into consideration including, applied load, sliding speed, and weight percentage age of silicon carbide particles. Wear test-sliding distance ranged from 1044 m to 3123 m measured over different times (10 min, 20 min, and 30 min). Normal loads range from 10 N to 30 N, at sliding speeds of 1.74m/s. Specific wear rate was calculated considering weight loss calculation which was measured by using digital electronic balance (up to 0.01 g accuracy). The results show that by increasing the sliding speed and the applied load we get the highest wear rate in the aluminum alloy, while with the Al/SiC composite, the wear rate decreases with the increase of SiC percentage age. It was found that hardness increases simultaneously when SiC percentage age increases. The highest hardness in (AL-15 wt. % SiC) was recorded.
Abstract The purpose of this research is to investigate how the fiber orientation and loading axis of a composite material affect its behavior. Consideration was given to two different fiber-to-matrix ratios in order to improve the mechanical properties. Hand lay-up samples were produced in accordance with ASTM D790 for flexural testing. On UTM, tensile and flexural tests were performed on the sample. The effect of fiber orientation modifies the composites' mechanical properties. As the fiber orientation increased, the tensile strength of the composite would reduce. This carbon/epoxy composite test demonstrates better strength than those conducted at (30, 5, 60, and 90 degrees). For flexural tests, a three-point bend at 30 degrees demonstrates excellent strength. Utilizing the three-point bend method, the flexural strength and flexural modulus have been determined. The tensile strength, young's modulus, elongation percentage, maximum load to break the composite, peak load, and flexural strength of single- and double-layered carbon fibers were compared and examined. As the number of layers increased, the adhesion between layers of epoxy and fiber carbon, and glass fiber weakened, causing a decrease in almost all mechanical properties. The fabricated 2024-T3 and epoxy glass fiber had higher fatigue strength than aramid reinforced and lower density than steel alloy utilized in aircraft manufacture.
Carbon Fiber Reinforced Plastic (CFRP) is widely employed today, mainly in industries, due to its required properties of high corrosion resistance, high strength, and lightweight, this work studies the influence of the cutting parameters on the surface roughness by drilling two types of carbon-fiber-reinforced polymer composite material (CFRP) Composites 0° angle and 90° angle, the investigated of the drilling of CFRP by using an experimental design based on the Taguchi L18 orthogonal array. Spindle speed, feed rate, and tool diameter were the input parameters, and surface roughness was the output. The cutting settings (410, 806, and 1003) rpm and two different HSS tools were employed in the drilling operation of the CFRP composite. The feed rates used were (0.1, 0.2, and 0.3) mm/rev (at 10 and 12 mm in diameter). The Taguchi approach, the cutting speed, feed rate, and tool diameter were optimized to be 1003 rpm spindle speed, 0.1 mm/rev feed rate, and 10 mm, respectively, at a 0° angle, the surface roughness was 2.74 µm, while at a 90° angle, 4.12 µm, surface roughness was created by the Taguchi optimization of the surface for the cutting variables. According to the ANOVA analysis of the surface roughness (Ra) for CFRP/0-angles, The P-value of the factor feed rate was 0.044 less than 0.05, while the p-values of the tool diameter and spindle speed were greater than 0.05. At the CFRP/90-angle, the p-values of the factors feed rate and spindle speed were both less than 0.05, while the p-value of the tool diameter was 0.208.
This study explains the design of a single-plate clutch using experimental measurements. The ratios of materials used to make the samples were 34g of Kevlar fiber (aramid 49 type), 150g of epoxy-type Sikadur-52, 10g of iron powder, and 10g of graphite powder. The three different sample types were made as laminates and cut using water cutter machinery according to the ASTM standard for each test. The following procedures were taken: The prepared mold was created first. Epoxy and the hardener were mixed in a 2:1 ratio. After that, the mixture was stirred well for a sufficient period of time. Then a quantity of the epoxy mixture was placed in the mold, and Kevlar fibers were placed in layers. The following ratios were used to create three samples: Sample 1 (34 g of Kevlar fiber, 150 g of epoxy), Sample 2 (34 g of Kevlar fiber, 150 g of epoxy, 10 g Fe), and Sample 3: Kevlar fiber (34 g), graphite (10 g), epoxy (150 g), and iron (10 g). The following facts have been found: When Kevlar fiber (aramid 49 type) was used at a weight of 34g for all samples, the best performance was achieved by hybrid composite sample3, which has the highest values (modulus of elasticity and higher wear resistance) in comparison to the other two composite samples (sample2 and sample1). In comparison to composite sample 1, the hybrid composite samples 2, and 3 have the highest value. (Tests for hardness).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.