Developing a model for calculating pure gas thermal conductivity at P=۱bar using particle swarm optimization algorithm
- سال انتشار: 1401
- محل انتشار: مجله پردازش گاز، دوره: 10، شماره: 2
- کد COI اختصاصی: JR_GPJU-10-2_002
- زبان مقاله: انگلیسی
- تعداد مشاهده: 148
نویسندگان
Department of Chemical Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran
Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, Iran
Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, Iran
Department of Chemical Engineering, University of Hormozgan, Bandar Abbas, Iran
چکیده
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.کلیدواژه ها
heat transfer, thermal conductivity, pure gas, particle swarm optimization algorithmاطلاعات بیشتر در مورد COI
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