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smart computing approach for design and scale-up of conical spouted beds with open-sided draft tubes

Particuology 2021年第2期19卷 179-190页

作者： M.Karimia B.Vaferi s.H.Hosseini M.Olazar s.Rashidi Laboratory of separation and Reaction engineering(LsRE) Associate Laboratory(LSRE/LCM)Department of Chemical EngineeringFaculty of EngineeringUniversity of PortoRua Dr.Roberto FriasS/N4099-002 PortoPortugal Department of Advanced Calculations ChemicalPetroleumand Polymer Engineering Research CenterShiraz BranchIslamic Azad UniversityShirazIran Department of Chemical engineering Ilam UniversityIlam 69315-516Iran Department of Chemical engineering University of the Basque Country UPV/EHUP.O.Box 644E48080 BilbaoSpain Department of Petroleum engineering Omidiyeh BranchIslamic Azad UniversityOmidiyehIran

Open-sided draft tubes provide an optimal gas distribution through a cross flow pattern between the spout and the annulus in conical spouted *** design,optimization,control,and scale-up of the spouted beds require precise information on operating and peak pressure *** this study,a multi-layer perceptron(MLP)neural network was employed for accurate prediction of these hydrodynamic characteristics.A relatively huge number of experiments were accomplished and the most influential dimensionless groups were extracted using the Buckingham-pi ***,the dimensionless groups were used for developing the MLP model for simultaneous estimation of operating and peak pressure *** iterative constructive technique confirmed that 4-14-2 is the best structure for the MLP model in terms of absolute average relative deviation(aard%),mean square error(MsE),and regression coefficient(R^(2)).The developed MLP approach has an excellent capacity to predict the transformed operating(MsE=0.00039,aard%=1.30,and R^(2)=0.76099)and peak(MsE=0.22933,aard%=11.88,and R2=0.89867)pressure drops.

关键词： Conical spouted beds Open-sided draft tubes Operating pressure drops Peak pressure drop smart modeling Design guidelines

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solubility Modeling of n-CBZ Derivatised Amino Acids in supercritical Carbon Dioxide

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International Journal of Analytical Mass spectrometry and Chromatography 2014年第2期2卷 52-63页

作者： n. Vedaraman Pravin Gadkari Balaraman Manohar K. V. sandhya Gerd Brunner K. Udaya sankar CsIR-Central Leather Research Institute Chennai India Food engineering CSIR—Central Food Technological Research Institute Mysore India Food engineering CSIR—Central Food Technological Research Institute Mysore India Academy of scientific and Innovative Research CSIR-CFTRI Mysore India VT-2 TUHH Hamburg Germany

The experimental solubility of CBZ (Carbobenzoxy) derivatized amino acids namely n-CBZ valine, n-CBZ proline, n-CBZ aspartic acid in supercritical carbon dioxide were correlated by soave-Red- lich-Kwong Equation state based on fugacity determination and group contribution method using extrapolated critical parameters and mixing rules and other two different empirical models proposed by Yu (1994) and Gordillo-coworkers (1999). The sRK EOs prediction showed very high deviation of % aard of 9% - 59%. The Yu model had three derivatized amino acids with average absolute deviation from 2.04, 8.17, 10.96, while the Gordillo model had 0.245, 1.067 and 1.144 for CBZ-valine, CBZ-proline and CBZ-aspartic acid successively. The correlated values had better fit with Gordillo model. The predictive capability and applicability for these amino acid derivatives for both the models demonstrated with correlation coefficient around 0.99 for all the experimental solubility observed.

关键词： Derivatized Amino Acids soave-Redlich-Kwong (sRK) Yu Model Gordillo Model

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