涡轮冷却叶片参数化建模及多学科设计优化
Parametric modeling and multidisciplinary design optimization for cooling turbine blade
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摘要: 建立了一个涉及结构、气动、传热、振动、强度和寿命等学科的涡轮冷却叶片多学科设计优化系统, 进行了单孔薄壁冷却叶片的多学科设计优化.提出了单孔薄壁冷却叶片的参数化造型方法, 叶片叶型采用5次多项式构造, 气动与传热为三维耦合分析;叶片体积平均温度与最高温度为优化目标, 强度、振动和寿命等学科相关参数为约束, 模拟退火与序列二次规划组合算法进行叶片参数空间寻优, 在保持冷却气体流量不变的条件下, 优化提高了冷却效果, 降低了叶片材料的性能要求.Abstract: A multidisciplinary design optimization system for gas turbine blade, which involves structure, aerodynamic, heat transfer, vibration and service life, etc, has been developed, serving the purpose of multidisciplinary design optimization of single-hole thin wall cooling blade.A parametric modeling method was also proposed for single-hole thin wall cooling blade.The blade surface geometry is defined by five-order polynomials, while 3-D coupling analysis was made for aerodynamic and heat transfer.The average temperature and maximum temperature of blade volume were optimized, with aerodynamic, vibration and service life as the constraints.A combined algorithm of annealing simulation and SQP(Sequential Quadratic Programming) was used to optimize the blade parameters.While the flow rate of cooling air was kept unchanged, the cooling effect was improved and the performance requirement on the blade materials was reduced.
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