This article depicts the processing and mechanical characterization of a new class of multi-phase composites consisting of epoxy resin reinforced with jute fiber and filled with silicon carbide (SiC) particulates. The SiC used as filler material in this work was prepared from rice husk through plasma-processing technique. The effect of filler in modifying the physical and mechanical properties of jute—epoxy composites has been studied. It is found that the incorporation of rice husk derived SiC modifies the tensile, flexural, and inter-laminar shear strengths of the jute—epoxy composites. The micro-hardness and density of the composites are also greatly influenced by the content of these fillers.
Aluminum nitride reinforced glass fiber epoxy resin composite was prepared by simple hand lay-up technique and its mechanical as well as erosion wear behavior were investigated. The interactive influence of various operational variables on specific wear behavior of composite materials has been studied thoroughly. It was observed that with increasing percentage of filler particles, there is a decline in tensile strength, but there is a significant improvement in hardness and erosion wear performance. Among all the factors, impact velocity is the most significant factor followed by filler percentage and impingement angle, while temperature has the least significance on erosion of the hybrid composite. Taguchi’s orthogonal arrays were used to identify the controlling factors influencing the erosion wear rate. Scanning electron microscopy studies were conducted to understand the erosion mechanism involved during the material removal process.
Proper management of any waste lies in using its potential in the development of some value added products. In line with this, the present research has explored the use of marble dust, an industrial/construction waste as a secondary filler in the glass‐polyester material system to prepare wear‐resistant hybrid composites. Such hybrid composites are fabricated through a simple hand layup route. The composites are characterized in regard to their density and porosity. Mechanical properties, such as tensile and flexural strength, are evaluated under controlled laboratory conditions. Dry sliding wear trials are conducted under different test conditions using a pin‐on‐disc test rig as per ASTM G 99‐05 following Taguchi's L25 orthogonal array. Significant control factors influencing the specific wear rates (SWRs) are identified and an optimal factor setting based on minimum wear is found out. Scanning electron microscopy of the worn composite surfaces is done to ascertain the possible wear mechanisms. Analysis revealed that the incorporation of filler helps in reducing the wear rate of the composites. Thus, the wear resistance of glass‐polyester composites is improved significantly by the incorporation of marble dust. Furthermore, a prediction model based on artificial neural networks is developed to estimate the SWR within and beyond the experimental domain.
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