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基于近似的涡轮冷却叶片外形多学科设计优化 被引量:15

Multidisciplinary Design Optimization of Cooling Turbine Blade Profiles Based on Surrogate Model
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摘要 研究多学科耦合作用下的复杂结构快速设计优化技术,解决了涡轮冷却叶片设计优化的高设计成本和数值噪声问题。函数解析与特征造型方法结合造型软件二次开发技术,实现了涡轮冷却叶片几何模型参数化及自动造型;流热耦合分析方法得到准确的气动与传热结果,通过保持与流热耦合分析模型网格节点的一致,将温度、压力等载荷信息精确传递到振动和强度分析模型;根据强度分析结果,采用经验公式方法预测叶片蠕变寿命,实现涡轮冷却叶片的多学科分析。以涡轮叶片叶尖和叶根两个外形截面18个设计参数为变量;优化拉丁超立方方法采样建立样本空间,利用Kriging函数构造快速分析模型;以叶身温度、总压损失和重量最小为优化目标,以共振裕度、应力、寿命和最大变形量为约束,建立高维、非线性设计空间下复杂涡轮冷却叶片涉及气动、传热、强度、振动和寿命等多个学科的多目标设计优化系统,最终实现叶片外形的设计优化,提高叶片的综合性能。 Quick multidisciplinary design optimization technique for complicated structures is studied,and the high computational costs and numerical noise issues are successfully resolved for cooling turbine blade design.Based on analytic and feature modeling methods,parametric geometric model is developed.The model can be rebuilt automatically according to the parameters changed,based on secondary development technology of CAD software.Coupled aerodynamic and heat transfer analysis is accomplished to get the result accurately.Pressure on the blade surface and temperature in the blade body obtained from former coupled analysis are specified as boundary conditions for structural analysis.As the grid for structural analysis keeps the same with the one for CFD analysis,these data are applied in one-to-one correspondence by the nodes.Creep life of blade is predicted by empirical formula according the strength result.18 parameters are taken as design variables at the blade tip and blade root sections.Optimal Latin hypercube sampling method is used to generate the experiment design points,and quick design optimization model is established by using Kriging functions.Thus,a cooling turbine blade multidisciplinary design optimization program,relating to aerodynamics,heat transfer,mechanics,vibration and fatigue life is established.The optimization objective is to minimize the blade temperature,total pressure loss and blade weight,with the constraints of resonance margin,stress,creep life and maximum deformation.Finally,the optimization is accomplished and blade comprehensive performance is improved,significantly.
出处 《机械工程学报》 EI CAS CSCD 北大核心 2011年第10期106-112,共7页 Journal of Mechanical Engineering
基金 国家高技术研究发展计划(863计划 2009AA04Z418) 西北工业大学凝固国家重点实验室开放课题(SKLSP201008) 河南科技大学博士科研启动基金资助项目
关键词 涡轮冷却叶片 多学科设计优化 流热耦合 近似模型 多目标 Cooling turbine blade Multidisciplinary design optimization Coupling aerodynamic-thermal analysis Surrogate model Multi-objective
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