This work is intended to explore the influence of barite particulate filler on the mechanical behaviour of carbon fiber (Cf) reinforced polymer matrix (CFRP) composites. The carbon fiber utilized for the study was T300 grade and the polymer matrix utilized was LY556 epoxy resin (Epr). The CFRP composites prepared with 55 weight (wt.) % T300 carbon fiber and 45 wt.% LY556 epoxy resin without barite particulate filler was utilized for control experimentation. The CFRP composites with barite filler were prepared by varying the proportion of barite particles from 2.5 wt.% to 15 wt.% in steps of 2.5 wt.%. The composites were prepared using the hand lay-up process and the barite particles were mixed with the epoxy resin by means of ultrasonic agitation. The prepared composites were subjected to tension, compression, hardness, flexural and impact testing. The CFRP composites with 10 wt.% barite particles yielded the best tensile strength, hardness and impact strength. The tensile strength, hardness and impact strength attained an increase of 13.18%, 5.6% and 18.68% respectively, compared to the CFRP composite without barite filler. The compressive strength of the CFRP composite with 15 wt.% barite filler was observed to be more than twice the compressive strength of the CFRP composite without barite filler. However, the flexure strength reduced steadily with the addition of barite particulates. The fractured surface morphologies of the prepared composites were characterised using the Scanning Electron Microscope (SEM). The chemical composition and morphology of barite powder was analysed using Energy Dispersive X-Ray Spectroscopy (EDX) and SEM, respectively.
This research work presents an attempt solemnly carried out to analyze and predict the wear behaviour of the cost-effective China clay particles reinforced AA6082 aluminium alloy composites. The combined effect of the independent variables (mass fraction of the reinforcement, applied load and sliding speed) on the wear loss and coefficient of friction of the composites were studied. The wear tests were conducted using a computerized pin on disc tribometer. For all the experiments the sliding distance was kept constant as 1500 m. In order to perform the experiments in an organized manner, the response surface methodology (RSM) was designated. The significant parameters which govern the wear loss and coefficient of friction were identified using the ANOVA (Analysis of variance) test. The regression equations developed to predict the response parameters (wear and coefficient of friction) were validated extensively by choosing several values of the independent variables within the design space. From the study, it was noted that RSM holds good reliability in the prediction of the wear behaviour of the composites. The composite materials exhibited better wear resistance with the increase in the incorporation of China clay particles. The worn-out samples were segregated as high, medium and low wear loss categories to analyze the worn surface morphology and to interpret the wear mechanism.
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