This paper presents a summary of research work published in the field of banana fiber reinforced polymer composites with special references to the structure, physical and mechanical properties of the composites.
The main factors that influence the properties of composite are fiber length and content. Hence the prediction of optimum fiber length and content becomes important, so that composite can be prepared with best mechanical properties. Experiments are carried out as per ASTM standards to find the mechanical properties namely, tensile strength and modulus, flexural strength and modulus, and impact strength. In addition to mechanical properties, water absorption capacity of the composite is also studied. Further, fractured surface of the specimen are subjected to morphological study using scanning electron microscope. The investigation revealed the suitability of banana fiber as an effective reinforcement in epoxy matrix.
In this work, three types of woven (Plain, twill and Basket) composites are made of banana fibers/epoxy resin using hand-layup method. Mechanical properties (tensile, flexural and impact) of three types of woven composites are compared to evaluate the effect of weaving architecture on the properties. Dynamic Mechanical Analysis is carried out to analyse the visco-elastic behavior of the composite. Dynamic Mechanical Analysis is carried out in the temperature range of 40-140°C at 0.1,1,10 Hz frequencies. Scanning Electron Microscopic analysis is carried out to investigate the fracture behaviour of the composite. From the investigation it is found that plain type of woven composite has better mechanical and dynamic mechanical behaviour.
Among many machining operations, drilling has become one of the important machining operations performed in polymer composites. The quality of the drilled hole is closely associated with the drilling parameters and conditions. The current work focuses on the optimization of multiple response characteristics during drilling of hybrid glass fiber reinforced polymeric nanocomposites. Taguchi's L25, orthogonal array is used to conduct the experiments and for optimization of the process parameters. The machining parameters such as spindle speed, feed rate, and drill diameter are optimized for the response which includes delamination, thrust force and torque via grey relational analysis technique. From the grey relational grade analysis, it is clear that the drill diameter is the most influencing factor followed by the feed rate and the spindle speed. The optimized process parameter settings were found as spindle speed of 2700 rpm, the feed rate of 30 mm/ min and drill diameter of 4 mm, respectively, for lower delamination, torque and thrust force. Among the various modeling techniques used, ANN is found to be suitable for the process with minimum error percentage of 0.526.
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