مشخصات پژوهش

عنوان	Experimental study and genetic algorithm-based multi-objective optimization of thermal and flow characteristics in helically coiled tube
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Heat transfer; genetic algorithm; coiled tube; modeling
چکیده	In this paper the effects of curvature ratio and torsion on friction factor (f) and Nusselt number (Nu) from coiled tubes were investigated. Hot water was passed through coiled tubes placed in a cold bath. At various Reynolds numbers, Nu, f and thermal–hydraulic performance were obtained. Empirical correlations were proposed to estimate Nu and f using the genetic algorithm. The genetic algorithm-based multi-objective optimization was used for the optimization.
پژوهشگران	مهدی پرویزی (نفر سوم)، مسعود رحیمی (نفر دوم)، رضا بیگزاده (نفر اول)