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采用组合式皮托管测量的方法测量了喷射沉积过程中的雾化气体流场，并基于神经网络的方法对流场进行数值模拟，获得了较为精确的雾化气体压力与流场中轴向气体速度之间的关系，实现了对不同气压下气体流场的预测。
The combined pitot tube measurement method was used to measure the atomization gas flow field in the process of spray deposition. The flow field was numerically simulated based on the neural network. The more accurate atomization gas pressure and axial gas The relationship between the speed, to achieve the prediction of gas flow field at different pressures.