西安交通大学,西安,710049
纸质出版:2023
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徐亮,冉泓鑫,阮麒成,席雷,高建民,李云龙. 阵列射流空间填充水滴形Kagome 桁架的靶面冷却性能多目标优化[J]. 航空制造技术, 2023, 66(19): 22-32.
XU Liang, RAN Hongxin, RUAN Qicheng, XI Lei, GAO Jianmin, LI Yunlong. Multiobjective Optimization of Target Surface Cooling Performance of Array Jet Space Filled With Teardrop-Shaped Kagome Trusses[J]. Aeronautical Manufacturing Technology, 2023, 66(19): 22-32.
徐亮,冉泓鑫,阮麒成,席雷,高建民,李云龙. 阵列射流空间填充水滴形Kagome 桁架的靶面冷却性能多目标优化[J]. 航空制造技术, 2023, 66(19): 22-32. DOI: 10.16080/j.issn1671-833x.2023.19.022.
XU Liang, RAN Hongxin, RUAN Qicheng, XI Lei, GAO Jianmin, LI Yunlong. Multiobjective Optimization of Target Surface Cooling Performance of Array Jet Space Filled With Teardrop-Shaped Kagome Trusses[J]. Aeronautical Manufacturing Technology, 2023, 66(19): 22-32. DOI: 10.16080/j.issn1671-833x.2023.19.022.
近年来随着4D打印技术的兴起,力学性能优异的Kagome 桁架结构作为新型的扰流单元逐步应用于高换热设备。针对火焰筒中的阵列射流结构,在其射流空间置入水滴形Kagome 桁架结构,通过试验验证数值模拟方法;采用数值模拟计算方法,研究了结构参数对靶面换热特性的影响;基于计算数据,拟合了靶面努塞尔数和压损的关联式,并计算出在该结构参数范围下的最优结构。结果表明,拟合二阶响应面模型准确,预测误差小于1.70%。桁架单元结构参数d和α对平均努塞尔数Nu
ave
的影响比较显著,d、α、β
2
和α*β 对压损系数C
p
的影响比较显著。在最优结构参数d = 1.000 mm,α = 45.001°,β = 46.623° 的情况下,Nu
ave
、C
p
和综合影响因子F的优化结果与模拟结果误差分别为1.24%、0.18% 和1.20%。优化件相比于试验件C
p
减少了0.93%, Nu增加了12.78%,F增加了3.13%。
With the rise of 4D printing technology in recent years
Kagome truss structure with excellent mechanical properties is gradually applied to high heat transfer equipment as a new type of disturbance unit. For the array jet structure in the flame cylinder
a teardrop-shaped Kagome truss structure was placed in its jet space and the numerical simulation method was verified through experiments; the influence of the structural parameters on the heat transfer characteristics of the target surface was investigated by numerical simulation calculation method; The correlation equat
ions of the Nussle number and the pressure loss of the target surface were fitted based on the calculated data
and the optimal structure was calculated under the range of the structural parameters. The results show that the fitted second-order response surface model is accurate with the prediction error being less than 1.70%. The effects of truss structural parameters d and α are more significant for average Nussle number Nu
ave
while d
α
β
2
and α*β are more significant for pressure loss coefficient C
p
. When the optimal structural parameters are d = 1.000 mm
α = 45.001°
β = 46.623°
the errors between the optimized results and the simulated results for Nu
ave
C
p
and comprehensive impact fact F were 1.24%
0.18% and 1.20%
respectively. C
p
is 0.93% less
Nu is 12.78% more
and F is 13.13% more in the optimized part compared to the test part.
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