Optimization of a Large Number of Coolant Passages Located Close to the Surface of a Turbine Blade
Optimization of a Large Number of Coolant Passages Located Close to the Surface of a Turbine Blade
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DOI：
10.1115/gt2003-38051
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发表时间：
2003
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影响因子：
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通讯作者：
B. Dennis;I. Egorov;G. Dulikravich;S. Yoshimura
中科院分区：
文献类型：
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作者：
B. Dennis;I. Egorov;G. Dulikravich;S. Yoshimura
针对内冷燃气涡轮机叶片中大量小圆截面直通冷却通道的位置和离散半径进行了约束优化。优化的目标是最小化穿透翼型的综合表面热通量，从而间接地最小化去除该热量所需的冷却剂的量。约束条件是叶片中任何点的最高温度小于最大规定值，并且任何两个孔之间或任何孔与翼型表面之间的距离大于最小规定值。考虑了最多30次传代的配置。在热传导分析中，采用对流边界条件近似考虑了外部热气体和内部冷却剂的存在。东京大学ADVENTURE项目的并行三维热弹性有限元分析（FEA）代码用于对不同叶片配置进行自动热分析。一个强大的半随机约束优化和并行遗传算法（PGA）被用来解决这个问题，使用廉价的分布式存储并行计算机。1科学家研究ASME成员。
A constrained optimization of locations and discrete radii of a large number of small circular cross-section straight-through coolant flow passages in internally cooled gas turbine vane was developed. The objective of the optimization was minimization of the integrated surface heat flux penetrating the airfoil thus indirectly minimizing the amount of coolant needed for the removal of this heat. Constraints were that the maximum temperature of any point in the vane is less than the maximum specified value and that the distances between any two holes or between any hole and the airfoil surface are greater than the minimum specified value. A configuration with maximum of 30 passages was considered. The presence of external hot gas and internal coolant was approximated by using convection boundary conditions for the heat conduction analysis. A parallel three-dimensional thermoelasticity finite element analysis (FEA) code from the ADVENTURE project at University of Tokyo was used to perform automatic thermal analysis of different vane configurations. A robust semi-stochastic constrained optimizer and a parallel genetic algorithm (PGA) were used to solve this problem using an inexpensive distributed memory parallel computer. 1 Research scientist. ASME member.