文献类型：期刊文献

英文题名：Multi-objective optimization of laminar flow characteristics in helical coiled tubes based on NSGA-II

作者：Yuan, Yuyang[1]; Wang, Xuesheng[1]; Cao, Jiaming[1]; Chen, Qinzhu[1]

机构：[1] College of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2021

卷号：680

期号：1

外文期刊名：IOP Conference Series: Earth and Environmental Science

收录：EI(收录号：20211210109769)

语种：英文

外文关键词：Laminar flow - Multiobjective optimization - Heat transfer coefficients - Genetic algorithms - Inlet flow - Drops - Heat resistance

摘要：To meet the requirement of energy conservation and optimize the design of helical coils in laminar flow, the pitch, the coil radius and the average inlet velocity were selected as design parameters to obtain the tendency of the heat transfer and flow resistance characteristics of the helical coils. Heat transfer coefficient and pressure drop per unit length of helical coils were taken as the optimization objective functions. A multi-objective optimization model was established, three candidate points A, B and C were obtained based on Non-dominated Sorted Genetic Algorithm-II (NSGA-II). The results showed that heat transfer coefficient and pressure drop per unit length increase with the pitch and inlet velocity whilst them decrease with coil radius, among which the influence of inlet velocity is the most obvious and the pitch is the least. It was found that the coil radius of most points in Pareto front was relatively concentrated. The comprehensive performance of candidate points A, B, C had been improved significantly by 16.3%, 28.3% and 19.6% respectively. ? Published under licence by IOP Publishing Ltd.