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- 저자 : Mansour Jahangiri (검색결과 2 건)
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Mobina Alimohammady,Mansour Jahangiri,Farhoush Kiani,Hasan Tahermansouri 한국탄소학회 2019 Carbon Letters Vol.29 No.1
Carboxylated multi-wall carbon nanotubes (MWCNTs-COOH) was functionalized with 3-amino-5-phenylpyrazole (MWCNTs- f) and characterized by FTIR, EDX, SEM, XRD and TGA. The MWCNTs-COOH and MWCNTs-f were used for the adsorption of Cd(II), Hg(II), and As(III) ions from aqueous solutions. Additionally, to study the influence of pH, adsorbent dose, and initial ions concentration on the adsorption process, the central composite design (CCD) was applied. The quadratic model was used for analysis of variance and indicated that adsorption of metal ions strongly depends on pH. Timedependent adsorption can be described by the pseudo-second-order kinetic model, and adsorption process was modeled by Langmuir isotherm for the adsorbents. Thermodynamic analysis showed that the adsorption of Cd(II), Hg(II) and As(III) ions were spontaneous and endothermic. Moreover, the competitive adsorption capacities of the heavy metal ions were slightly lower than noncompetitive ones. The same affinity order was observed under noncompetitive and competitive adsorption: As(III) > Cd(II) > Hg(II) in the case of MWCNTs-f. Desorption study revealed the favorable regeneration ability of adsorbents powders, even after three adsorption–desorption cycles.
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Ali Aminian,Mansour Jahangiri 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.5
Velocity profiles are helpful for the confident design of mixing tanks and chemical reactors in mixing processes. A fuzzy model and an artificial neural network have been presented for accurate prediction of velocity distributionof Rushton turbine impeller (RTI) for the mixing of polymeric liquids in the lower transition region: 35<Re'<1800. Local tangential and radial velocities were predicted along the discharge plane of the impeller. Experimental data wereused for training, validation, and testing the neuromorphic models. The presented models are very accurate and reliablein predicting the velocity profiles over wide ranges of polymer concentrations and rotational speed. Comparison of thesuggested fuzzy model and the empirical correlations shows that the proposed model outperforms the other alternativesboth in accuracy and generality. The results show that the proposed neuromorphic models can successfully be usedfor prediction of velocity distribution in agitated tanks for viscoelastic polymeric fluids.
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