An impeller optimization method based on the 3-D viscous flow analysis was proposed, where the blade was parameterized using inverse design method and neural networks was adopted.
An impeller optimization method based on the 3-D viscous flow analysis was proposed, where the blade was parameterized using inverse design method and neural networks was adopted.
摘要利用反问题计算间接对叶片进行参数化并结合神经网络技术，建立了一种基于三维黏性流动分析的叶轮优化设计方法。