This paper presents a study on the influence of cutting parameters (Cutting speed and Feed rate) on drilling multi walled carbon nanotubes (MWCNTs) filled epoxy / glass fabric hybrid polymeric nanocomposite. For comparison neat epoxy / glass fabric polymeric composite was also fabricated. Drilling tests were carried out on these materials with HSS twist drill of diameter 6mm. Optimal cutting conditions were found using grey relational analysis by simultaneously considering the surface delaminations of the drilled holes at the entrance and exit sides. Surface delaminations of the drilled holes were quantified in terms of delamination factor. From the mean grey relational grades, it is observed that the multi walled carbon nanotubes (MWCNTs) has significant effect in improving the drilled hole quality. Mean grey relational grades of MWCNTs filled epoxy composite was found to be better than that of neat epoxy composite.
To address the future growth in energy demands, complete renewable power generation from environmental assets demands unique methodologies from every investigator. Wind energy harvesting in residential areas is one such approach. But the urban landscape and the physical challenges restrict the erection of small-scale wind turbines. Further, a significant degree of uncertainty leads to a lack of awareness of how dispersion in urban environments impacts turbine performance. This research looks into the potential productivity of wind turbine installations in urban areas, considering turbulence. These unique ambient conditions prevailing in a dynamic environment compared to flat terrains have made the harnessing of wind energy very difficult. Many researchers are still trying to find an effective methodology in these constrained circumstances. Since the characteristics of small-scale wind turbine models are undetermined, large-scale turbines fared well compared to small-scale wind turbine models. The feasibility and success of small and medium turbines in community homes were investigated in this study. The origins of the very uncertain nature of atmospheric boundary layer limitations are discussed in this work and subsequent successful developments by different researchers.
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.