Font Size:
Artificial neural network (ANN) used to optimized the hydrophilic and hydrophobic studied by Emulsion method
Last modified: 2024-10-05
Abstract
The loading of (AP) in a solution contains surfactants are natural candidates for stabilizing emulsions provided by water (hydrophilic) and Active principle often fatty, oil (hydrophobic) was studied by EMULSIONS method. The results were modeled using artificial neural network (ANN) and pseudo-first and second order. We used MATLAB and HYSYS software to determine the test, validation and overall regression. The synthesis method was Stacking of natural kaolinite solid particles into zeolite by thermal activation at 500°C which was improved by increasing the temperature. The maximum capacity (AP) on untreated and treated zeolite X at equilibrium (Qe) 130 mg/g and maximum charge adsorption capacity was found to be 100.09. % of (AP) per gram of zeolite X respectively
Conference registration is required in order to view papers.