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以最佳温度均匀度和最小熵产为目标的航天器热循环试验系统运行参数优化
引用本文:黄一也,杨光,吴静怡.以最佳温度均匀度和最小熵产为目标的航天器热循环试验系统运行参数优化[J].化工学报,2016,67(10):4086-4094.
作者姓名:黄一也  杨光  吴静怡
作者单位:上海交通大学机械与动力工程学院, 上海 200240
基金项目:国家自然科学基金项目(51476096)。
摘    要:以数值模拟的方法研究了不同运行参数下航天器热循环试验箱内温度均匀度与熵产的变化规律。结果表明,在4.3×103≤Re≤8.6×105、4.62×1013≤Gr≤1.38×1014范围内,由于强浮升力的作用,壁面附近出现回流区,温度由上往下降低,中轴线附近气体加速下沉,温度由上往下升高。箱内量纲1温度标准偏差随Reynolds数增大而增大,随Grashof数变化不明显;混合对流过程中流动熵产远小于传热熵产,熵产数值随Reynolds数、Grashof数的增大而增大。提出了壁面Nusselt数、试验箱内量纲1平均温度、量纲1温度标准偏差及量纲1传热熵产随Reynolds数、Grashof数变化的关联式。

关 键 词:数值模拟  对流  传热  温度均匀度  熵产  
收稿时间:2016-04-05
修稿时间:2016-06-01

Operation parameters optimization of spacecraft thermal cycling test system based on temperature uniformity and entropy generation
HUANG Yiye,YANG Guang,WU Jingyi.Operation parameters optimization of spacecraft thermal cycling test system based on temperature uniformity and entropy generation[J].Journal of Chemical Industry and Engineering(China),2016,67(10):4086-4094.
Authors:HUANG Yiye  YANG Guang  WU Jingyi
Affiliation:School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:The temperature uniformity and entropy generation due to heat transfer inside a thermal cycling test chamber are investigated numerically under various operating parameters. Boussinesq approximation and k-ω model are used in the simulation and the result is validated by previous experiment. The result shows that in the range of 4.3×103 ≤ Re ≤ 8.6×105 and 4.62×1013 ≤ Gr ≤ 1.38×1014, both forced convection and natural convection contribute to the fluid flow and heat transfer. Fluid close to the walls gets heated and rises along the walls due to the buoyancy force while that near the center line accelerates downward to the exit. The temperature at the given height always increases from the center line to the walls. From the top to bottom of the cycling chamber, the temperature increases around the center line while decreases near the walls. The dimensionless standard temperature deviation increases with Reynolds number and changes little with Grashof number. During the mixed convection, the entropy generation due to fluid friction is much smaller than that by heat transfer, and the latter increases with both Reynolds number and Grashof number. In addition, the expressions of wall Nusselt number, dimensionless average temperature, dimensionless temperature standard deviation and dimensionless entropy generation by heat transfer are also provided.
Keywords:numerical simulation  convection  heat transfer  temperature uniformity  entropy generation  
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