Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/2844
Title: An adaptive modeling of petroleum emulsion formation and stability by a heuristic multiobjective artificial neural network-genetic algorithm
Authors: Kundu P.
Paul V.
Kumar, Vimal
Mishra I.M.
Published in: Petroleum Science and Technology
Abstract: In this work, experimental and statistical modeling and optimization of process parameters for maximizing the o/w emulsion stability was carried out using the multiobjective artificial neural network-genetic algorithm (ANN-GA) coupled with response surface methodology. The independent model constrains were oil concentration (10-50% v/v), surfactant concentration (2-10% v/v), stirring intensity (2000-6000 rpm), stirring time (5-20 min), and pH (2-12). The responses were turbidity (?) and emulsion stability index (ESI24). This fact that there is a reasonably good agreement between the experimental data and the predicted values was shown by the modeling results. The optimized conditions predicted by hybrid ANN-GA model to maximize ESI24 (= 94.71) with 4.8% error were: oil concentration 50% v/v, surfactant concentration 5.571% v/v, stirring speed 6000 rpm, stirring time 5.97 min, and pH 12. The accuracy of the model is confirmed by the comparison between the predicted and experimental data. The proposed hybrid ANN-GA model was found to be useful for the modeling and optimization of process parameters for emulsion stability analysis and the other emulsification process. © 2016 Taylor & Francis Group, LLC.
Citation: Petroleum Science and Technology (2016), 34(4): 350-358
URI: https://doi.org/10.1080/10916466.2015.1135169
http://repository.iitr.ac.in/handle/123456789/2844
Issue Date: 2016
Publisher: Taylor and Francis Inc.
Keywords: Artificial neural network
Emulsion
Genetic algorithm
Modeling
Network
Surfactant
ISSN: 10916466
Author Scopus IDs: 55835249800
57075879000
7404634425
23668474600
Author Affiliations: Kundu, P., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttatrakhand, 826004, India
Paul, V., High Energy Materials Research Laboratory, Defence Research and Development Organization (DRDO), Sutarwadi, Pune, Maharashtra, India
Kumar, V., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttatrakhand, 826004, India
Mishra, I.M., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttatrakhand, 826004, India, Department of Chemical Engineering, Indian School of Mines, Dhanbad, Dhanbad, Jharkhand, India
Corresponding Author: Mishra, I.M.; Department of Chemical Engineering, Indian Institute of Technology RoorkeeIndia; email: mmishra49@gmail.com
Appears in Collections:Journal Publications [CH]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.