Journal article
Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique
ACS Omega, Vol.5(1), pp.781-790
14/01/2020
PMCID: PMC6964515
PMID: 31956829
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Source: InCites
Abstract
In this study, artificial neural networks (ANNs) determined by a neuro-evolutionary approach combining differential evolution (DE) and clonal selection (CS) are applied for estimating interfacial tension (IFT) in water-based binary and ternary systems at high pressures. To develop the optimal model, a total of 576 sets of experimental data for water-based binary and ternary systems at high pressures were acquired. The IFT was modeled as a function of different independent parameters including pressure, temperature, density difference, and various components of the system. The results (total mean absolute error of 3.34% and a coefficient of correlation of 0.999) suggest that our model outperforms other habitual models on the ability to predict IFT, leading to a more accurate estimation of this important feature of the gas mixing/water systems.
Details
- Title
- Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique
- Creators
- Yasser Vasseghian - Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, 6715847141 Kermanshah, IranAlireza Bahadori - Southern Cross UniversityAlireza Khataee - Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, 51666-16471 Tabriz, Iran, Department of Environmental Engineering, Gebze Technical University, 41400 Gebze, Turkey, Institute of Research and Development, Duy Tan University, 550000 Da Nang, VietnamElena-Niculina Dragoi - Faculty of Chemical Engineering and Environmental Protection “Cristofor Simionescu”, “Gheorghe Asachi” Technical University, Bld Mangeron no 73, 700050 Iasi, RomaniaMasoud Moradi - Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, 6715847141 Kermanshah, Iran
- Publication Details
- ACS Omega, Vol.5(1), pp.781-790
- Publisher
- American Chemical Society
- Grant note
- The authors of this article are grateful to the Deputy of Research and Technology of Kermanshah University of Medical Sciences for funding this project. Also, this work was partially supported by “Program 1. Development of the national system for research and development. Postdoctoral research projects” financed by UEFISCDI, Romania, project no. RU-PNIII-PD-23/2018.
- Identifiers
- 991012925026702368
- Copyright
- This is an open access article published under an ACS AuthorChoice License, which permitscopying and redistribution of the article or any adaptations for non-commercial purposes. Copyright © 2019 American Chemical Society
- Academic Unit
- Faculty of Science and Engineering; School of Environment, Science and Engineering; National Centre for Flood Research
- Language
- English
- Resource Type
- Journal article