مدل سازی سیستم های تعادلی بخار- مایع و مایع - مایع با استفاده از مدل های ترمودینامیکی، ساختارهای فازی و شبکه های عصبی نوع GMDH

نوع مقاله: مقاله شیمی

نویسندگان

دانشگاه گیلان

چکیده

بررسی تعادل‌های سیستم های بخار-مایع و مایع-مایع، نقش مهمی در طراحی، بهینه سازی و کنترل فرایندهای جداسازی دارد. در این تحقیق تعادل های فازی بخار-مایع سامانه های دوتایی(1-پروپانول با آب و اتیل استات)، همچنین تعادل های فازی مایع-مایع سامانه های سه تایی (آب، اتیلن گلایکول، 1-هپتانول) و (آب، اتیلن گلایکول، 2-اتیل 1-هگزانول) با استفاده از مدل های ترمودینامیکی NRTL و UNIQUAC مورد مطالعه قرار گرفتند. همچنین از سیستم استنتاج فازی – عصبی تطبیقی (ANFIS) و مدل شبکه عصبی نوع GMDH برای مدل سازی سیستم های مورد نظر استفاده شد. نمودارهای تعادلی بخار- مایع، دما برحسب جزء مولی برای سیستم های دوتایی و نمودار تعادل های مایع-مایع برای سیستم های سه جزئی با استفاده از مدل های ترمودینامیکی در دماهای مختلف رسم گردید. دقت مدل های ترمودینامیکی و شبکه های عصبی و فازی برای سیستم های مورد نظر بررسی و با داده‌های تجربی مقایسه شد. مقایسه نتایج نشان داد که در تعادلات بخار-مایع و مایع-مایع، مدل ترمودینامیکی NRTL تطابق خوبی با داده‌های تجربی دارد ولی کمترین خطا مربوط به استفاده از مدل آماری ANFIS می‌باشد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Modeling of VLE and LLE Systems by using Thermodynamic model with ANFIS Structures and GMDH Type-Neural Network

نویسندگان [English]

  • Hossein Ganadzadeh Guilani
  • allahyar Daghbandan
  • Mohammad Akbari Zadeh
  • Meysam Azadian
چکیده [English]

Study of vapor - liquid and liquid – liquid Equilibrium plays an important role in the design, optimization and control of separation processes. In this research phase equilibrium of binary systems (1-propanol, water and 1-propanol, ethyl acetate) also ternary systems (water, ethylene glycol, 2-ethyl 1- hexanol and water, ethylene glycol, 1- heptanol) using thermodynamic models of NRTL and UNIQUAC were studied. Also Adaptive Nero-Fuzzy Inference System (ANFIS) and group method of Data handling (GMDH-type neural network) were used for modeling of systems. The VLE graphs (temperature based on mole fraction of vapor-liquid phases) for binary systems and LLE graphs for ternary systems at various temperatures by thermodynamics models were drawn. Accuracy of thermodynamic models, ANFIS model and GMDH type-Neural Network for the binary and ternary systems studied and compared with experimental data. Comparison of results shows that NRTL models have good fitness with the experimental data and the minimum error is related to the ANFIS Statistical model.

کلیدواژه‌ها [English]

  • VLE
  • LLE
  • NRTL model
  • UNIQUAC model
  • GMDH type-NN
  • ANFIS Structure
 
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