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        Preparation, Characterization and Photocatalytic Activities of TiO2-coated Activated Carbon Catalysts for Rhodamine B Photodegradation

        Meltem Asiltürk,S¸ adiye S¸ ener,Engin S¸ener 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.2

        TiO2 -coated activated carbon (TiO2 /AC) catalysts with high activity and easy separation were prepared by the coating method and their photocatalytic performances were studied for degradation of rhodamine B (RhB) dye. For this purpose, first, anatase TiO2 nanocrystal was prepared via sol–gel process of titanium(IV) isopropoxide (TTIP), followed by reflux treatment at a relatively low temperature (130 °C) without further treatments. Second, four different amounts of AC were separately coated with TiO2 by dipping in TiO2 sol (10%, w/w) at room temperature. The catalysts were characterized by Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET) surface area, and UV–vis diffuse reflectance spectroscopy (DRS). Coating AC with TiO2 produced catalysts with higher BET surface areas and greater crystallite sizes as compared to bare TiO2 . RhB (50 mg/L) was almost completely discolored in 50 min, and the mineralization efficiency was 100% in 60 min for the catalysts containing 10 and 15% AC. Furthermore, all catalysts showed much higher photocatalytic activities than the commercial Degussa P-25.

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        Determining the optimum process parameter for grinding operations using robust process

        Süleyman Neseli,Đlhan Asiltürk,Levent Çelik 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.11

        We applied combined response surface methodology (RSM) and Taguchi methodology (TM) to determine optimum parameters for minimum surface roughness (Ra) and vibration (Vb) in external cylindrical grinding. First, an experiment was conducted in a CNC cylindrical grinding machine. The TM using 27 L orthogonal array was applied to the design of the experiment. The three input parameters were workpiece revolution, feed rate and depth of cut; the outputs were vibrations and surface roughness. Second, to minimize wheel vibration and surface roughness, two optimized models were developed using computer-aided single-objective optimization. The experimental and statistical results revealed that the most significant grinding parameter for surface roughness and vibration is workpiece revolution followed by the depth of cut. The predicted values and measured values were fairly close, which indicates 2 ( 94.99 Ra R = and 2 92.73) Vb R = that the developed models can be effectively used to predict surface roughness and vibration in the grinding. The established model for determination of optimal operating conditions shows that a hybrid approach can lead to success of a robust process.

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