کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4757702 | 1419843 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Experimental data, thermodynamic and neural network modeling of CO2 solubility in aqueous sodium salt of l-phenylalanine
ترجمه فارسی عنوان
داده های تجربی، مدل ترمودینامیکی و شبکه عصبی از حلالیت دی اکسید کربن در سدیم آب سدیم الفینیل آلانین
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
کاتالیزور
چکیده انگلیسی
In this study, experimental CO2 solubility in aqueous sodium salt of l-phenylalanine (Na-Phe) was investigated at concentrations (w = 0.10, 0.20, and 0.25) mass fractions. The solubility was measured in a high-pressure solubility cell at temperatures 303.15, 313.15 and 333.15 K, over a CO2 pressure range of (2-25) bar. The effect of temperature, equilibrium CO2 pressure and Na-Phe concentration on CO2 loading were examined. Two different models namely modified Kent-Eisenberg and artificial neural network (ANN) were used to correlate the CO2 solubility data. Carbamate hydrolysis and amine deprotonation equilibrium constants were estimated as a function of temperature, pressure and solvent concentration from modified Kent-Eisenberg model. Also, the comparison of prediction results obtained from both modeling techniques was carried out. It was found that ANN model performed better than modified Kent-Eisenberg model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of CO2 Utilization - Volume 19, May 2017, Pages 146-156
Journal: Journal of CO2 Utilization - Volume 19, May 2017, Pages 146-156
نویسندگان
Sahil Garg, A.M. Shariff, M.S. Shaikh, Bhajan Lal, Humbul Suleman, Nor Faiqa,