Optimization of liquid-liquid extraction column using genetic algorithms
Other Title(s)
تحسين عمل عمود الاستخلاص (سائل-سائل) باستخدام الخوارزميات الوراثية
Author
Source
Engineering and Technology Journal
Issue
Vol. 30, Issue 10 (31 Dec. 2012), pp.1797-1810, 14 p.
Publisher
Publication Date
2012-12-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract AR
في هذا البحث تم استخدام تقنيات الخوارزميات الوراثية في إيجاد الأمثل لبرج الاستخلاص سائل–سائل كطريق غير تقليدية تحاكي التطور الطبيعي للكائنات الحية.
تم اعتماد سرعة الطور المستخلص و سرعة الطور المتبقي كمتغيرات تصميمية لإيجاد أفضل معدل استخلاص.
استخدمت استراتيجيات مختلفة للخوارزميات الوراثية في عميلة أيجاد الأفضل مثل حجم العينة, معدل الانقسام في الحلول المقترحة (الكروموسومات), الطفرات.
عموما وجد بأن أفضل معدل استخلاص يحصل في الجيل رقم 51 بثبوت علاقة التوازن (m) كذلك تم دراسة تأثير علاقة التوازن على عملية إيجاد الأفضل و باستراتيجيات مختلفة للبحث و وجد انه بزيادة m يزداد معدل الاستخلاص الأمثل.
Abstract EN
In the present study, liquid-liquid extraction column was optimized using Genetic Algorithms as a non-conventional optimization technique, which scores over conventional techniques.
Genetic Algorithm (GA) is a stochastic search technique mimics the principle of natural genetics and natural selection to constitute search and optimization.
Genetic Algorithm is applied to the optimal design of liquid-liquid extraction column to maximize the extraction rate using the superficial velocities of raffinate and extract phases,(υ x, υ y) respectively as design variables using Matlab GA toolbox.
Different Genetic Algorithm strategies were used for optimization and the design parameters such as Population size, crossover rate and Mutation were studied.
It was found that for constant distribution coefficient, m the convergence is obtained in a very few generations (51 generations).
The effect of distribution coefficient, m was also studied on the optimization process and found that when increasing the distribution coefficient the optimum extraction rate increased.
The best values for υ x and υ y were 0.142 and 0.059 respectively, and the objective function (maximum) was 0.2844187.
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American Psychological Association (APA)
Ali, Ali D.. 2012. Optimization of liquid-liquid extraction column using genetic algorithms. Engineering and Technology Journal،Vol. 30, no. 10, pp.1797-1810.
https://search.emarefa.net/detail/BIM-320575
Modern Language Association (MLA)
Ali, Ali D.. Optimization of liquid-liquid extraction column using genetic algorithms. Engineering and Technology Journal Vol. 30, no. 10 (2012), pp.1797-1810.
https://search.emarefa.net/detail/BIM-320575
American Medical Association (AMA)
Ali, Ali D.. Optimization of liquid-liquid extraction column using genetic algorithms. Engineering and Technology Journal. 2012. Vol. 30, no. 10, pp.1797-1810.
https://search.emarefa.net/detail/BIM-320575
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1809-1810
Record ID
BIM-320575