Characteristics prediction and optimization for fan duct surface heat exchanger using regional heat transfer correlation and NSWOA aided by Sobol’

IF 6.4 2区 工程技术 Q1 THERMODYNAMICS
Zhe Xu , Zongling Yu , Xin Ning , Changyin Zhao , Zhihua Zhu , Zhibin Feng
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引用次数: 0

Abstract

Fan duct surface heat exchanger is a new type air-oil heat exchanger adopted in aero-engine lubricating oil system in recent years. A characteristics prediction method based on regional heat transfer correlation is proposed for it to realize heat transfer capacity and oil-side pressure drop calculation, which is validated by conducting thermodynamic experiment. Compared to experimental data, the average relative errors of heat transfer capacity and oil-side pressure drop prediction are 9.39 % and 8.39 %, respectively, which indicates that this method is feasible and reliable. A heat transfer unit response model between nine configuration parameters and heat transfer efficiency, weight is constructed by combining Taguchi and Particle Swarm Optimization-trained Adaptive Neuro-Fuzzy Inference System, and based on it, a characteristics optimization method based on Non-dominated Sorting Whale Optimization Algorithm aided by Sobol’ is proposed to simultaneously realize heat transfer enhancement, flow resistance reduction, and lightweight design. Compared to the original configuration, heat transfer capacity of the selected optimal solutions increases by 12.42 % averagely, while oil-side pressure drop and weight separately decrease by 37.64 % and 12.70 % on average, which indicates that this method is effective and helpful and can provide beneficial guidance for heat exchanger design.
Sobol辅助下基于区域传热关联和nswaa的风机表面换热器特性预测与优化
风机风管表面换热器是近年来在航空发动机润滑油系统中采用的一种新型空气-油换热器。提出了一种基于区域换热关联的特性预测方法,实现了换热能力和油侧压降计算,并通过热力学实验进行了验证。与实验数据相比,换热量和油侧压降预测的平均相对误差分别为9.39%和8.39%,表明该方法可行、可靠。结合Taguchi和粒子群优化训练的自适应神经模糊推理系统,构建了传热单元9个构型参数与传热效率、重量之间的响应模型,并在此基础上提出了一种基于Sobol '辅助的非主导排序鲸优化算法的特性优化方法,同时实现了强化传热、减小流阻和轻量化设计。与原配置相比,优化后的换热能力平均提高了12.42%,油侧压降和重量分别平均降低了37.64%和12.70%,表明该方法是有效的,可以为换热器设计提供有益的指导。
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来源期刊
Case Studies in Thermal Engineering
Case Studies in Thermal Engineering Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
8.60
自引率
11.80%
发文量
812
审稿时长
76 days
期刊介绍: Case Studies in Thermal Engineering provides a forum for the rapid publication of short, structured Case Studies in Thermal Engineering and related Short Communications. It provides an essential compendium of case studies for researchers and practitioners in the field of thermal engineering and others who are interested in aspects of thermal engineering cases that could affect other engineering processes. The journal not only publishes new and novel case studies, but also provides a forum for the publication of high quality descriptions of classic thermal engineering problems. The scope of the journal includes case studies of thermal engineering problems in components, devices and systems using existing experimental and numerical techniques in the areas of mechanical, aerospace, chemical, medical, thermal management for electronics, heat exchangers, regeneration, solar thermal energy, thermal storage, building energy conservation, and power generation. Case studies of thermal problems in other areas will also be considered.
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