چکیده مقاله
Multi objective MO optimization of Bees Algorithm BA issimultaneously employed to acquire the maximum effectiveness and theminimum total annual cost TAC of a heat exchanger HE as twocontradict objectives in current investigation For a non trivial MOproblem, there is not just single solution that simultaneously optimizeseach of the objects, but there exist a set of solutions are called Paretooptimal fronts Therefore, MO optimization has been used for obtaininga series of optimum solutions which contradict between highereffectiveness and lower TAC Main parameters considered in currentoptimization problem include: pitch, height, and offset length of the fin,hot and cold stream flow lengths, and no flow length Effects of thesegeometric variables on each objective function OF are investigated bya sensitivity analysis Finally, the MOBA optimization results aresuccessfully validated through an illustrative case study taken fromliterature Maximum effectiveness obtained in current study is 1 5% and1 2% higher than NSGA II and TLBO, respectively and minimum TACis 6 1% and 4 1% lower than NSGA II and TLBO, respectively Themajor superiority of present study is that a wide range of optimumsolutions has been obtained and so, designers are capable to select thebest design variables
کلیدواژهها
نویسندگان
شیوه ارجاع
Zarea, Hossein and Noohpisheh, Khalil,1399,Multi-Objective Optimization of Plate-Fin Heat Exchanger by Bees Algorithm: Thermal-Economic Design,3rd International Conference on Mechanics, Construction, Industries and Civil Engineering,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی مکانیک، ساخت، صنایع و مهندسی عمران30 مرداد 1399 · تهران