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The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

Depending on the growing industry and population, energy needs are increasing day by day. In parallel, our external dependency on energy also increases. This issue made it necessary to use of renewable energy sources as much as possible. As an extension of eff…

In this study, Al-12Si ingot alloy was melted in an electric resistance furnace and then poured into metal moulds through traditional casting method. Optimum machining conditions is aimed to determine by investigating the effects of cutting parameters on surfa…

This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…

In the present study, the effects of cutting parameters on surface roughness were investigated in order to determine the optimum machining conditions for the hot work tool steel (155 HB), which is an important part of the mold industry. For this purpose, the m…