The turbine coolant collection/distribution chamber, as an important component of the secondary air system, undertakes the task of collecting and distributing coolant for guide vanes. To improve the outflow uniformity and reduce the flow loss, a multiobjective optimization method is developed for geometric parameters of turbine chamber. Numerical experiments were designed by Latin hypercube sampling and solved by the CFD method. Based on these data sampling, least square support vector machine (LS-SVM) was used for the surrogate model, and a kind of chaotic optimization algorithms was used for searching for the Pareto solution set. The results show that the streamline change in the optimized chamber is smoother, and the jet impingement effect of the coolant from the inlet tube was significantly weakened. At the condition that each goal has the weight of 0.5, the optimized discharge coefficient increases by 26%, and the outflow nonuniformity decreases by 79% compared with reference structure.

中文翻译：

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基于代理模型的汽轮机冷却液集/配气室多目标优化

涡轮冷却液集散室作为二次空气系统的重要组成部分，承担着导叶集散冷却液的任务。为提高流出均匀性，减少流动损失，提出了一种涡轮室几何参数的多目标优化方法。数值实验采用拉丁超立方采样设计，CFD方法求解。基于这些数据采样，最小二乘支持向量机（LS-SVM）被用于代理模型，并使用一种混沌优化算法来搜索帕累托解集。结果表明，优化后的腔体流线变化更加平滑，冷却剂从进口管的射流冲击效应明显减弱。