The use of fiber reinforced polymer matrix composites (FRPCs) is in boom in many structural, industrial, automotive, and engineering applications. Polymer matrix composites have been turned out the most hopeful material which can replace the conventional materials, metals, and woods. Owing to this the demand for analyzing the tribological behavior of FRPCs is amplified. In the current article an inclusive literature survey on the tribological behavior of FRPCs in terms of friction and wear properties of composite materials is explored. The paper reviews the effects of different operating parameters and material parameters on wear rate and frictional behavior of FRPCs. The analysis reveals that operating parameters like sliding velocity, sliding distance, load, temperature and material parameters like a fiber volume fraction, orientation of fibers, fiber length, filler content, and effect of surface treatment have a significant effect on the tribological behavior of composite material. The wear rate of FRPCs is controlled by adding the proper amount of filler content and fiber orientation.
Abstract:The cotton fiber reinforced polyester composites were fabricated with varying amount of graphite fillers (0, 3, 5 wt.%) with a hand lay-up technique. Wear tests were planned by using a response surface (Box Behnken method) design of experiments and conducted on a pin-on-disc machine (POD) test setup. The effect of the weight percentage of graphite content on the dry sliding wear behavior of cotton fiber polyester composite (CFPC) was examined by considering the effect of operating parameters like load, speed, and sliding distance. The wear test results showed the inclusion of 5 wt.% of graphite as fillers in CFPC increase wear resistance compared to 3 wt.% of graphite fillers. The graphite fillers were recommended for CFPC to increase the wear resistance of the material. A scanning electron microscope (SEM) was used to study the wear mechanism. To predict the wear behavior of the composite material, comparisons were made between the general regression technique and an artificial neural network (ANN). The conformation test results revealed the predicted wear with the ANN was acceptable when compared with the actual experimental results and the regression mathematical models.
Background:
The technological enhancement in various disciplines enhances the demand
for the new material which can replace the conventional materials. This has initiated the idea of composite
materials. Synthetic fiber reinforced polymer matrix composites are being widely used due to its
mechanical properties, but these fibers lack in terms of biodegradability, initial processing cost, recyclability
and health hazard. An alternative to tackle these drawbacks can be found in natural fibers, that
give an advantage in terms of strength to weight ratio, ease of availability and biodegradability.
Methods:
This work is aimed to determine the effect of hybrid basalt - banana reinforced epoxy composite
and their effectiveness in substituting few conventional materials in terms of their mechanical
properties, wear resistance and water absorption rate.
Results:
Basalt Banana Hybrid Composite (BBHC) is tested for their mechanical strength, hardness,
impact strength, flexural strength, wear rate and water absorption rate. The test results of mechanical
properties for the BBHC are compared to the other hybrid materials and conventional materials.
Conclusion:
The test results reveal that the hybrid basalt banana epoxy composite is a good substitute
over various conventional materials. The water absorption test results reveal that the hydrophilic nature
of the natural fibers reduces a lot after the hybridization.
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.