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宽通道换热板片结构的多目标头脑风暴优化设计
引用本文:郭一楠,蒋东章,王瑞茹,巩敦卫.宽通道换热板片结构的多目标头脑风暴优化设计[J].控制与决策,2022,37(9):2314-2322.
作者姓名:郭一楠  蒋东章  王瑞茹  巩敦卫
作者单位:中国矿业大学北京 机电工程学院,北京 100084$ $;中国矿业大学 信息与控制工程学院,江苏 徐州 221116
基金项目:国家自然科学基金项目(61973305,61573361,52121003,61773384);江苏省六大高峰人才项目(2017-DZXX-046).
摘    要:换热板片作为构成宽通道板式换热器的核心部件,对其换热效果具有直接影响.为有效提升换热器性能,减少能量损耗,提出一种宽通道换热板片结构的多目标头脑风暴优化设计方法.首先,根据换热板片的形状和布局特点,提取梯形凸台尺寸及其分布间隔构成结构参数,采用正交法,基于Fluent数值模拟软件获得25组换热板片结构样本;然后,采用回归构建换热努塞尔数和压力损失的代理模型,以最大换热效果和最小能量损耗作为优化目标,采用基于网格的多目标头脑风暴优化算法,寻优获得最佳换热板片的结构设计方案.统计实验结果表明,换热性能代理模型可以有效降低评价代价,所提出优化设计方法可以更加高效地获得具有最佳换热效果和能量损耗的换热板片结构.

关 键 词:宽通道换热板片  代理模型  多目标头脑风暴优化  换热努塞尔数  压力损失

Structural design of heat exchanger plate with wide-channel based on multi-objective brain storm optimization
GUO Yi-nan,JIANG Dong-zhang,WANG Rui-ru,GONG Dun-wei.Structural design of heat exchanger plate with wide-channel based on multi-objective brain storm optimization[J].Control and Decision,2022,37(9):2314-2322.
Authors:GUO Yi-nan  JIANG Dong-zhang  WANG Rui-ru  GONG Dun-wei
Affiliation:School of Mechanical and Electrical Engineering,China University of Mining and TechnologyBeijing,Beijing 100084, China;School of Inforamtion and Control Engineering,China University of Mining and Technology,Xuzhou 221116, China
Abstract:A heat exchanger plate is the core component of a heat exchanger with wide channel, which has a direct impact on heat exchange effect. In order to improve its efficiency and decrease energy loss, an improved multi-objective brain storm optimization algorithm is introduced to seek the optimal structure of a heat exchange plate. According to its shape and layout, six structural parameters about size and distribution of trapezoidal convex units are defined as decision variables. Following that, 25 groups of samples are obtained using the orthogonal method and numerical simulation based on Fluent. Two surrogate models for evaluating Nusselt index and pressure loss are constructed by regression. Taking maximum heat exchange efficiency and minimum energy loss as optimization objectives, the algorithm of grid-based multi-objective brain storm optimization is employed to find the optimal structure of a heat exchange plate. Statistical experimental results indicate that surrogate model of heat exchange performance can effectively reduce the cost of evaluation, and the proposed optimization method can obtain the optimal structure with the highest heat exchange efficiency and least energy loss.
Keywords:
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