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Author

Adem Çiçek

Other affiliations: Gazi University, Düzce University
Bio: Adem Çiçek is an academic researcher from Yıldırım Beyazıt University. The author has contributed to research in topics: Machining & Tool wear. The author has an hindex of 24, co-authored 69 publications receiving 1715 citations. Previous affiliations of Adem Çiçek include Gazi University & Düzce University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, an ANN model based on standard back propagation algorithm was developed to predict the brake specific fuel consumption, effective power and average effective pressure and exhaust gas temperature of the methanol engine.

156 citations

Journal ArticleDOI
27 Jan 2012-Wear
TL;DR: In this article, the machinability of hardened AISI 52100 (∼63HRc) was evaluated by measurements of tool wear, tool life, and surface finish of the workpiece.

130 citations

Journal ArticleDOI
01 Feb 2013-Energy
TL;DR: In this paper, the authors used ANN (artificial neural networks) modeling to predict BSFC (break specific fuel consumption), exhaust emissions that are CO (carbon monoxide) and HC (unburned hydrocarbon), and AFR (air-fuel ratio) of a spark ignition engine which operates with methanol and gasoline.

129 citations

Journal ArticleDOI
01 Jan 2016
TL;DR: The established ANN model is a powerful one for predicting the experimental cutting temperatures, and the best results in predicting the cutting temperature were obtained using the network architecture with a hidden layer which has seven neurons and LM learning algorithm.
Abstract: Exp. (experimental) and num. (numerical) cutting forces were obtained by the exp. studies and FEM analysis.The best convergence between exp. and num. cutting forces was provided.Num. cutting temperatures were predicted by ANN within very low error interval.Exp. cutting temperatures were obtained using exp. cutting forces.Exp. temperature results were quite satisfactory. In this study, an approach based on artificial neural network (ANN) was proposed to predict the experimental cutting temperatures generated in orthogonal turning of AISI 316L stainless steel. Experimental and numerical analyses of the cutting forces were carried out to numerically obtain the cutting temperature. For this purpose, cutting tests were conducted using coated (TiCN+Al2O3+TiN and Al2O3) and uncoated cemented carbide inserts. The Deform-2D programme was used for numerical modelling and the Johnson-Cook (J-C) material model was used. The numerical cutting forces for the coated and uncoated tools were compared with the experimental results. On the other hand, the cutting temperature value for each cutting tool was numerically obtained. The artificial neural network model was used to predict numerical cutting temperatures by means of the numerical cutting forces. The best results in predicting the cutting temperature were obtained using the network architecture with a hidden layer which has seven neurons and LM learning algorithm. Finally, the experimental cutting temperatures were predicted by entering the experimental cutting forces into a formula obtained from the artificial neural networks. Statistical results (R2, RMSE, MEP) were quite satisfactory. This demonstrates that the established ANN model is a powerful one for predicting the experimental cutting temperatures.

119 citations

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TL;DR: In this paper, a number of drilling experiments were conducted using the L16 orthogonal array on a CNC vertical machining center using uncoated and coated M35 HSS twist drills under dry cutting conditions.

107 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the authors have presented the various signal processing methods applied to the fault diagnosis of rolling element bearings with the objective of giving an opportunity to the examiners to decide and select the best possible signal analysis method as well as the excellent defect representative features for future application in the prognostic approaches.

453 citations

Journal ArticleDOI
TL;DR: In this paper, the potentials of methanol as a renewable resource taking into account the world supply and demand, economic benefits and the effects on human health and the environment are discussed.
Abstract: Methanol is an alternative, renewable, environmentally and economically attractive fuel; it is considered to be one of the most favorable fuels for conventional fossil-based fuels. Methanol has been recently used as an alternative to conventional fuels for internal combustion (IC) engines in order to satisfy some environmental and economical concerns. Because of a number of relatively large research projects that have been ongoing recently, much progress has been made that is worth reporting. This paper systematically describes the methanol productions, including the productions from coal, natural gas, coke-oven gas, hydrogen, biomass etc. It introduces the potentials of methanol as a renewable resource taking into account the world supply and demand, economic benefits and the effects on human health and the environment. Thirteen methods of application such as methanol/gasoline, methanol/diesel blends which can be used on the IC engines are summarized. Finally, this paper puts forward some new suggestions on the weakness in the researches of methanol engine.

332 citations

Journal ArticleDOI
TL;DR: In this article, the authors discuss comparative physicochemical properties of ethanol and gasoline and discuss different fuel composition, engine parameter and engine modification effects on NOx formation as well as mathematical approach for NOx prediction using ethanol.
Abstract: The stricter worldwide emission legislation and growing demands for lower fuel consumption and anthropogenic CO2 emission require significant efforts to improve combustion efficiency while satisfying the emission quality demands. Ethanol fuel combined with gasoline provides a particularly promising and, at the same time, a challenging approach. Ethanol is widely used as an alternative fuel or an effective additive of gasoline due to the advantage of its high octane number and its self-sustaining concept, which can be supplied regardless of the fossil fuel. As a result, vast study has been carried out to study its effects on engine performance and emission. The first part of this article discusses prospect of fuel ethanol as a gasoline substitute. Then it discusses comparative physicochemical properties of ethanol and gasoline. The slight differences in properties between ethanol and gasoline fuels are enough to create considerable change to combustion system as well as behaviors of SI engines. These effects lead to several complex and interacting mechanisms, which make it difficult to identify the fundamentals of how ethanol affects NOx emission. After that, general NOx forming mechanisms are discussed to create a fundamental basis for further discussion. Finally, the article discusses different fuel composition, engine parameter and engine modification effects on NOx formation as well as mathematical approach for NOx prediction using ethanol.

327 citations

Journal ArticleDOI
TL;DR: This paper is a thorough review of all the modern sustainable techniques presently practiced in the metal cutting process and finds that these sustainable machining techniques most of the time give better results in terms of improved surface quality of the machined component, enhanced tool life, less cutting temperatures and cutting forces as compared to conventional wet machining methods.

247 citations