高速飞行器燃油瞬态温度预测的修正热网络法

doi:10.16183/j.cnki.jsjtu.2021.387

摘要/Abstract

摘要：

针对高速飞行器燃油消耗全阶段温度场三维瞬态计算存在效率过低问题,为满足高速飞行器燃料系统快速迭代设计过程中燃油温度场计算的需求,通过在热传导方程中添加掺混系数表征燃油内部热对流,在热平衡方程中添加传质项表征燃油宏观流动,提出一种满足设计精度的高效修正热网络方法.基于提出的热网络法构建高速飞行器储油系统瞬态热分析模型,在不同的热边界条件和储油系统几何结构下,该热网络法计算结果与计算流体动力学(CFD)方法结果的偏差低于5%,计算效率极大提高.采用CFD计算与修正热网络法结合的方式,为高速飞行器燃料储存系统设计提供了新的燃油瞬态温度变化预测方法.

关键词: 高速飞行器燃油系统, 瞬态温度预测, 修正热网络法, 传热

Abstract:

The low simulation efficiency of three-dimensional transient calculation makes it difficult to be applied in predicting fuel temperature during the entire fuel consumption process. In order to satisfy the requirements of fuel temperature field calculation in the rapid iterative fuel system design process, a novel efficient and accurate improved thermal network method was proposed. The mixing coefficient was introduced to the heat conduction equation to represent the heat convection inside the fuel, and the heat transfer caused by the mass transfer term was added to the heat balance equation to represent the problem of overall fuel flow. Based on the improved thermal network method, the transient thermal analysis model of the high-speed aircraft fuel tank was constructed. The results show that under different thermal boundary conditions and tank geometries, the temperature deviation between the thermal network method and the computational fluid dynamics(CFD) method is less than 5%, and the calculation efficiency of the thermal network method is much higher, which can greatly improve the computational efficiency. By combining CFD calculation with the improved thermal network method, a novel fuel transient temperature prediction method is provided for the design of the high-speed aircraft fuel storage system.

Key words: high-speed aircraft fuel system, transient temperature prediction, improved thermal network method, heat transfer

中图分类号:

V233.2

程显达, 郑皓冉, 杨学森, 董威. 高速飞行器燃油瞬态温度预测的修正热网络法[J]. 上海交通大学学报, 2023, 57(6): 728-738.

CHENG Xianda, ZHENG Haoran, YANG Xuesen, DONG Wei. Improved Thermal Network Method for Fuel Transient Temperature Prediction of High-Speed Aircrafts[J]. Journal of Shanghai Jiao Tong University, 2023, 57(6): 728-738.

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