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RISS 인기검색어
- 검색키워드
- 저자 : E. R. PALACIOS-HERNÁNDEZ (검색결과 2 건)
- 무료
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Photo-catalysis of phenol derivatives with Fe2O3 nanoparticles dispersed on SBA-15
E. Montiel-Palacios,A. K. Medina-Mendoza,A. Sampieri,C. Angeles-Chávez,I. Hernández-Pérez,R. Suarez-Parra 한양대학교 세라믹연구소 2009 Journal of Ceramic Processing Research Vol.10 No.4
Highly ordered hexagonal (p6mm) mesoporous silica SBA-15 was synthesized through a hydrothermal treatment under acidic conditions. Fe2O3/SBA-15 catalysts were prepared by impregnation of SBA-15 media with iron(III) acetylacetonate, iron(III) chloride or iron(II) sulfate solutions. X-ray Diffraction (XRD), X-ray fluorescence (XRF), high angle annular dark field scanning transmission electron microscopy (HAADF-STEM), energy dispersive X-ray (EDX) spectroscopy and nitrogen physisorption characterization were carried out for SBA-15 and Fe2O3/SBA-15 materials. After impregnation and calcination at 823 K, the iron oxide dispersion in SBA-15 was analyzed by STEM and EDX. FeCl3 provides the highest amount of Fe loading in mesoporous SBA-15. The photocatalytic properties of Fe2O3/SBA-15 samples at pH = 3 and pH = 6 were evaluated in catechol and hydroquinone photodecomposition by inducing visible radiation. The conversion of catechol and hydroquinone, at pH = 3 and pH = 6 with iron(III) acetylacetonate and FeCl3 as the precursor of iron oxide nanoparticles, were measured by UV-Vis spectroscopy, chemical oxygen demand (COD) and total organic carbon (TOC) analysis. Highly ordered hexagonal (p6mm) mesoporous silica SBA-15 was synthesized through a hydrothermal treatment under acidic conditions. Fe2O3/SBA-15 catalysts were prepared by impregnation of SBA-15 media with iron(III) acetylacetonate, iron(III) chloride or iron(II) sulfate solutions. X-ray Diffraction (XRD), X-ray fluorescence (XRF), high angle annular dark field scanning transmission electron microscopy (HAADF-STEM), energy dispersive X-ray (EDX) spectroscopy and nitrogen physisorption characterization were carried out for SBA-15 and Fe2O3/SBA-15 materials. After impregnation and calcination at 823 K, the iron oxide dispersion in SBA-15 was analyzed by STEM and EDX. FeCl3 provides the highest amount of Fe loading in mesoporous SBA-15. The photocatalytic properties of Fe2O3/SBA-15 samples at pH = 3 and pH = 6 were evaluated in catechol and hydroquinone photodecomposition by inducing visible radiation. The conversion of catechol and hydroquinone, at pH = 3 and pH = 6 with iron(III) acetylacetonate and FeCl3 as the precursor of iron oxide nanoparticles, were measured by UV-Vis spectroscopy, chemical oxygen demand (COD) and total organic carbon (TOC) analysis.
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MODELING ENGINE FUEL CONSUMPTION AND NOx WITH RBF NEURAL NETWORK AND MOPSO ALGORITHM
J. D. MARTÍNEZ-MORALES,E. R. PALACIOS-HERNÁNDEZ,G. A. VELÁZQUEZ-CARRILLO 한국자동차공학회 2015 International journal of automotive technology Vol.16 No.6
In this study, artificial neural network (ANN) modeling is used to predict the fuel consumption and NOx emission of a four stroke spark ignition (SI) engine. Calibration engineers frequently want to know the responses of an engine for the entire range of operating conditions in order to change engine control parameters in the electronic control unit (ECU), to improve performance and reduce emissions. However, testing the engine for the complete range of operating conditions is a very time and labor consuming task. As alternative, ANN is used in order to predict fuel consumption and NOx emission. In the proposed approach, the multi-objective particle swarm optimization (MOPSO) is used to determine weights of radial basis function (RBF) neural networks. The goal is to minimize performance criteria as root mean square error (RMSE) and model complexity. A sensitivity analysis is performed on MOPSO parameters in order to provide better solutions along the optimal Pareto front. In order to select a compromised solution among the obtained Pareto solutions, a fuzzy decision maker is employed. The correlation coefficient R2 is used to compare the engine responses with the obtained by the proposed approach.
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