Abstract:In this research, carbon fiber and Graphene nanoplatelets (GNP) of different weight percentages of GNP (0, 0.1,0.3, and 0.5 wt.%) reinforced hybrid composites were fabricated via hand layup technique followed by compression molding. For wear analysis to understand the correlation between control parameters (wt.% of filler, normal load, velocity, and sliding distance) and response measurements (weight loss), the design of experiments and analysis of variance (ANOVA) is used. The control variables such as normal… Show more
“…After adding nano ller GNP-MWCNT hybrid for 3 wt.%, the exural properties were relatively low. Nanoparticle aggregation, improper wetting, and void content are the major causes of decreasing the exural strength and modulus of the composite for further increasing nano ller content [33]. The epoxy tends to absorb water and form weak H 2 bonds, resulting in swelling and plasticisation of the polymer chain [27].…”
Section: Evaluation Of Mechanical Properties On the Effect Of Water A...mentioning
In this study, the effect of water uptake on graphene nanoplatelets (GNP) and multiwalled carbon nanotube (MWCNT)-impregnated glass-reinforced epoxy composites was examined. The composite was manufactured using a hand lay-up and vacuum bagging technique. The nanofiller was mixed with epoxy using a mechanical stirrer, high-shear mixer, and ultrasonic probe machine. In situ electromechanical testing was performed on the specimens. The study found that the weight content and type of nanofiller impact the composites' water uptake and mechanical properties. The water uptake of GNP–glass, MWCNT–glass, and GNP–MWCNT–glass hybrid composites decrease with the addition of different nanofiller contents. Adding a 1.5 GNP–MWCNT hybrid mixture increased the composite's tensile and flexural strengths to 269.3 and 294.4 MPa, respectively. The GNP–MWCNT–glass hybrid composite shows a positive synergy effect on the enhancement of water-ageing with self-sensing ability, while the GNP–glass, MWCNT–glass composites show a less positive effect on water ageing sensing behaviour. The nanofillers dispersion and fracture surface morphological observations were disclosed using a field emission scanning electron microscope. The results established that the GNP–MWCNT–glass hybrid exhibits good potential for in situ damage monitoring of composites and can support their development and application as a smart material.
“…After adding nano ller GNP-MWCNT hybrid for 3 wt.%, the exural properties were relatively low. Nanoparticle aggregation, improper wetting, and void content are the major causes of decreasing the exural strength and modulus of the composite for further increasing nano ller content [33]. The epoxy tends to absorb water and form weak H 2 bonds, resulting in swelling and plasticisation of the polymer chain [27].…”
Section: Evaluation Of Mechanical Properties On the Effect Of Water A...mentioning
In this study, the effect of water uptake on graphene nanoplatelets (GNP) and multiwalled carbon nanotube (MWCNT)-impregnated glass-reinforced epoxy composites was examined. The composite was manufactured using a hand lay-up and vacuum bagging technique. The nanofiller was mixed with epoxy using a mechanical stirrer, high-shear mixer, and ultrasonic probe machine. In situ electromechanical testing was performed on the specimens. The study found that the weight content and type of nanofiller impact the composites' water uptake and mechanical properties. The water uptake of GNP–glass, MWCNT–glass, and GNP–MWCNT–glass hybrid composites decrease with the addition of different nanofiller contents. Adding a 1.5 GNP–MWCNT hybrid mixture increased the composite's tensile and flexural strengths to 269.3 and 294.4 MPa, respectively. The GNP–MWCNT–glass hybrid composite shows a positive synergy effect on the enhancement of water-ageing with self-sensing ability, while the GNP–glass, MWCNT–glass composites show a less positive effect on water ageing sensing behaviour. The nanofillers dispersion and fracture surface morphological observations were disclosed using a field emission scanning electron microscope. The results established that the GNP–MWCNT–glass hybrid exhibits good potential for in situ damage monitoring of composites and can support their development and application as a smart material.
“…The decreased friction coefficient is due to the lubricating effect of GNPs in the CF-GCF/epoxy composite. 22 Figure 4.Variation of coefficient of friction with time for CF and GCF epoxy composite at (75 N, 12 Hz, 60°C).…”
Section: Resultsmentioning
confidence: 99%
“…The decreased friction coefficient is due to the lubricating effect of GNPs in the CF-GCF/epoxy composite. 22 Figure 5(a) shows the weight loss and Figure 5(b) shows the specific wear rate along with the standard deviation on the bar chart of GCF/epoxy and CF/epoxy polymer composites. From Figure 5, it is observed that the weight loss and specific wear rate of GCF/epoxy polymer composite is less as compared to CF/epoxy polymer composite.…”
Section: Impact Of Gnps On the Tribological Properties Of Cfrp Compos...mentioning
The present work primarily focuses on the thermo-mechanical and physical properties of polymer composites. The effects of normal load, sliding frequency, and temperature on the reciprocating sliding performance of Carbon fiber (CF) segments are evaluated. These CF segments are coated with graphene nanoplatelets (GNPs), and carbon fiber-reinforced polymer (epoxy) composites (CFRPs). Experiments are carried out at three different normal loads (55 N, 75 N, and 95 N), sliding frequency (8 Hz, 12 Hz, and 16 Hz), and temperature (25°C, 40°C, and 60°C). The experiments are conducted for 20 min with a constant stroke length of 1.5 mm against a 62 HRC hardened chrome steel ball as a counter surface material. Optical microscopy and Scanning electron microscope (SEM) have been used to examine the worn surfaces. In addition, an artificial neural network (ANN) is applied to model the coefficient of friction on the basis of different parameters. It has been observed that adding GNPs to carbon fiber strands improves the strand’s bonding tendency with the matrix, resulting in an increase in wear resistance. With the addition of GNPs on carbon fiber strands, the specific wear rate decreased by 32.39%, respectively, while the thermal conductivity increased by 47.95%. The coefficient of friction increases with the normal load up to 75 N and then drops. This is due to fiber fragments and friction film at high loads. As the sliding frequency and temperature increase, the friction coefficient gets reduced. It has been found that the ANN model is able to predict the coefficient of friction with high accuracy.
“…Many engineering applications needing minimal friction and wear require epoxy nanocomposite materials with outstanding tribological characteristics. One of the most promising ways to solve the epoxy matrix's significant dry wear problem is by adding a carbon nanofiller [9,10]. Epoxy nanocomposites are widely employed in various sliding circumstances, including structural components and automotive and marine vessels [11][12][13].…”
This paper evaluates the wear properties of epoxy nanocomposites containing GNP (Graphene Nanoplatelets). In this research, variation of GNP (0,0.1, 0.25, and 0.5 wt.%) were used to make nanocomposites. The hand layup technique was used for the fabrication of different composites. The Taguchi method is used to optimize the wear test and its related characteristics. Analysis of variance is used to understand the correlation between input variables and response measurements. Load (0.5,1.0,1.5, and 2.0 kg) and time (4,6,8, and 10 minutes) are the main variable for exploring wear characteristics for this study. It has been discovered that minimum wear in terms of mass loss and friction coefficient are minimum at 0.5wt.% GNP. Scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDX), and RAMAN spectroscopy were used to characterize the wear mechanism. The result shows that the optimized value is closer to the experimental value.
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