Developing a model for calculating pure gas thermal conductivity at P=۱bar using particle swarm optimization algorithm
Publish place: Gas Processing، Vol: 10، Issue: 2
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_GPJU-10-2_002
تاریخ نمایه سازی: 18 فروردین 1403
Abstract:
One of the most crucial variables in the study of heat transport is thermal conductivity and methods for measuring this variable have long been sought after. In this paper, to achieve the equation for approximation of the thermal conductivity coefficient, ۶۱ experimental data were collected for pure gases in P=۱ bar and variable temperature (۹۱.۸۸-۱۵۰۰ K). The proposed model was then obtained using the Particle Swarm Optimization (PSO) algorithm in MATLAB V۲۰۱۵. It includes a variety of hydrocarbon and non-hydrocarbon compounds. The physical properties of pure gases including temperature, critical temperature, critical pressure, molecular weight, viscosity, and heat capacity at constant volume were obtained for pure components and used for prediction of the conductivity of these gases. Also, during the validation phase, the suggested model attained the most accurate prediction withR^۲=۰.۹۹۹۵. This model is capable of predicting the thermal conductivity coefficient of gases with a mean relative error percentage of ۴.۶۷% and mean square error percentage of ۲.۴۲۱۰×۱۰-۴% compared to actual data. These results are significantly better than those obtained from other models.
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Authors
Amirhossein Oudi
Department of Chemical Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran
Samaneh Faramarzi
Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, Iran
Shiva Yarmohammadian
Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, Iran
Yegane Davoodbeygi
Department of Chemical Engineering, University of Hormozgan, Bandar Abbas, Iran
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