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M. Ghaedi,A. Daneshfar,A. Ahmadi,M.S. Momeni 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
The artificial neural network (ANN) model based on application of Levenberg–Marquardt algorithm(LMA) composed of linear transfer function (purelin) at output layer and tangent sigmoid transferfunction (tansig) at hidden layer with 15 and 19 neurons for Au-NP-AC and TiO2-NP-AC, respectively wasapplied for optimization and prediction of adsorption system behavior. The judgment about applicabilityof this model was criterion such as mean squared error (MSE) (3.19e 04) and coefficient of determination(R2) 0.9962 were found for removal efficiency of Au-NP-AC. For TiO2-NP-AC, the obtained values for MSEand R2 were 0.0022 and 0.9729, respectively. It was seen that a good agreement between theexperimental data and predicted values based on ANNmodel was found. The novel approximately greenadsorbents with unique advantages such as low cost, locally available and relatively new are applicablefor the removal of dyes from aqueous solutions. The optimization has been carried out by fitting theexperimental parameters including initial pH, dye concentration, sorbent dosage and contact time toANN. At initial pH lower than 2 the removal percentage and adsorption of dye on both adsorbent wascomplete that suggest and confirm their suitability for removal of this dye from complicated realmatrices. The isothermal data for adsorption followed the Freundlich and Langmuir models with highmonolayer adsorption capacity in short time that confirm their applicability and suggest their attractivecandidates for removal of under study dye.
P. Assefi,M. Ghaedi,A. Ansari,M.H. Habibi,M.S. Momeni 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5
The present research is focused on the synthesis and characterization of cobalt (III) oxide (Co2O3) nanoparticle loaded on activated carbon to prepare an outstanding sorbent for the removal of eosin Y (EY) as hazardous dye from aqueous solution. The sorbent was identified by SEM and XRD analysis. The effect of solution pH, adsorbent dosage (0.005–0.02 g), contact time (0.5–30 min) and initial eosin Y concentration (30–80 mg L-1) on the adsorption process was investigated and modeled by artificial neural network. Following optimization of variables, the experimental equilibrium data was analysis by Langmuir, Freundlich, Tempkin and D–R isothermal models and explored that the data well presented by Langmuir model with a maximum adsorption capacity of 555.56 mg g-1 at 25 ℃. Kinetic studies at various adsorbent dosage and initial EY concentrations show that high removal percentage (>90%) was achieved within 15 min of the start of every experiment at most conditions. The adsorption of EY follows the pseudo-second-order rate equation in addition to intraparticle diffusion model. The experimental data were applied to train the multilayer feed forward neural network with three inputs and one output with different algorithms and different numbers of neurons in the hidden layer. The minimum mean squared error (MSE) of 1.49e 04 and determination coefficient of (R2) 0.9991.
S. Hejazi,Sh. Mohajernia,M.H. Moayed,A. Davoodi,M. Rahimizadeh,M. Momeni,A. Eslami,A. Shiri,A. Kosari 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.25 No.-
Inhibitive performance of a new thiazolo-pyrimidine derivative has been investigated on mild steel in a solution of 1 M H2SO4. Electrochemical measurement, scanning electron microscope analysis and quantum chemical calculations are the tests and methods used to assess the performance of the inhibitors. The results indicate that the thiazolo-pyrimidine derivative used acts as a mixed-type inhibitor retarding the anodic and cathodic corrosion reactions. The studied compounds followed the Langmuir adsorption isotherm. Thermodynamic parameters showed that inhibitor adsorption is physical as determined by those parameters. The effect of molecular structure on the inhibition efficiency was investigated by quantum chemical calculations.
M. R. Davoodi,A. Golabi,H. A. Talebi,H. R. Momeni 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
This paper addresses the problem of mixed H_ /H∞ fault detection observer design for discrete-time switched linear systems. The conventional mixed H_ /H∞ problem is a conservative approach due to the selection of equal Lyapunov matrices. The idea presented in this paper is based on a switched Lyapunov function and using conservatism reduction approaches which leads to some sufficient conditions for solvability of the problem in terms of linear matrix inequality (LMI) feasibility conditions. Numerical simulations are presented to show the effectiveness of the proposed approach.