Abstract
*原稿受付 2003年 2月 10日. *1非会員,日産自動車(株).(〒243-0126 神奈川県厚木市岡津古久 560-2). *2正員,東京大学大学院工学系研究科機械工学専攻.(〒1138656 東京都文京区本郷 7-3-1). E-mail: kasagi@thtlab.t.u-tokyo.ac.jp Micro bare-tube heat exchangers can accomplish high performance and compactness with their simple structure. In general, decreasing characteristic length leads to higher heat transfer area density at the expense of larger pressure drop. The trade-off has been so far optimized by trial and error. In the present study, simulated annealing (SA) is employed to optimize various design parameters of heat exchangers, which composes a multiple-variable highly nonlinear system. Although the heat transfer coefficient and the pressure drop on the air-side make major contribution to the total heat resistence and pumping power, empirical correlations of flow around tube bank can not predict them accurately in the low Reynolds number range, which is characteristic of compact heat exchangers. Hence, we make a series of numerical simulation for heat transfer and pressure drop of flow in the tube bank at various tube spacings and Reynolds numbers, and correlation functions are developed using an artificial neural network. Finally, optimum design is made for three types of micro bare-tube heat exchangers, i.e., heater core and radiator for automobiles, electronic equipement cooling system, and recuperator for micro gas turbine.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.