磨料水射流切割的断面质量限制了其应用。由于高速固液两相流本身的复杂性,很难建立一个有效的理论模型。基于人工神经网络理论,结合典型材料切割质量的实验结果,建立了磨料水射流切割速度的数值预测模型,给定切割工件、射流压力和切割质量后,该模型能快速、准确、可靠地预测切割速度。 Abrasive water jet cutting section quality limits its application. Due to the complexity of high-speed solid-liquid two-phase flow, it is very difficult to establish an effective theoretical model. Based on the theory of artificial neural network and experimental results of cutting quality of typical materials, a numerical prediction model of abrasive water jet cutting speed is established. After cutting workpiece, jet pressure and cutting quality, the model can predict cutting quickly, accurately and reliably speed.