王晨,张靖周,王春华.双层壁冷却结构综合冷却效率和相对压力损失多目标优化[J].内燃机工程,2023,44(3):101-108.
双层壁冷却结构综合冷却效率和相对压力损失多目标优化
Multi-Objective Optimization of a Double-Wall Cooling Structure for Overall Cooling Effectiveness and Relative Pressure Drop
DOI：10.13949/j.cnki.nrjgc.2023.03.012
关键词:双层壁冷却结构  综合冷却效率  相对压力损失  遗传优化算法
Key Words:double-wall cooling structure  overall cooling effectiveness  relative pressure drop  genetic optimization algorithm
基金项目:
作者单位E-mail
王晨* 中原工学院 能源与环境学院，郑州 451191 wangchen4520@163.com 
张靖周 南京航空航天大学 能源与动力学院 江苏省航空动力系统重点实验室，南京 210016  
王春华 南京航空航天大学 能源与动力学院 江苏省航空动力系统重点实验室，南京 210016  
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摘要:在典型燃烧室工作环境下，针对特定双层壁冷却结构，以综合冷却效率和相对压力损失为优化目标，采用径向基神经网络构建数学模型，通过遗传优化算法实现多目标优化，旨在提高其气动和传热性能。在给定的双层壁冷却结构参数范围内，优化后双层壁冷却结构的最大综合冷却效率为0.89，而相对压力损失可降至0.17%。
Abstract:In a typical combustion chamber environment， the overall cooling effectiveness and relative pressure drop of a specific double-wall cooling structure were set as the optimization indicators， and the mathematical model was built by radial basis function neural network. Through a genetic optimization algorithm， multi-objectives optimization were achieved to improve its aerodynamic and heat transfer performance. Within the given parameter range of the double-wall cooling structure， the overall cooling effectiveness of double-wall cooling structure is optimized to 0.89 for the maximum comprehensive cooling efficiency index， and the relative pressure drop of double-wall cooling structure can be reduced to 0.17% for the minimum relative pressure drop index.
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