The flow stress behavior of an innovative spray-formed aluminum–copper–lithium (Al–Cu–Li) alloy was successfully investigated via isothermal compression tests under a deformation temperature range of 350–450 °C (25 °C interval) and a strain rate range of 0.01, 0.1, 1, 5, 10 s⁻¹. The constitutive relationship was established based on backpropagation artificial neural network (BP-ANN) algorithm. And the 3D processing maps were constructed as well. The results show that the constitutive model is in great agreement with the experiment data where the correlation coefficient goes up to 0.99963 and the average residual error lies only 1.06%. Moreover, from the 3D processing maps, the area of the instable regions tends to enlarge by virtue of the increasing strain, and the optimum processing domain is advised to be 440–450 °C. The microstructure evolution is found consistent with the prediction of the processing map.

通过等温压缩试验，在变形温度范围为350–450°C（间隔为25°C）和应变的条件下，成功研究了创新的喷射成型铝-铜-锂（Al-Cu-Li）合金的流变应力行为。速率范围0.01、0.1、1、5、10 s ^-1。基于反向传播人工神经网络（BP-ANN）算法建立本构关系。并且还构建了3D处理图。结果表明，本构模型与实验数据吻合较好，相关系数高达0.99963，平均残差仅为1.06％。此外，从3D处理图来看，由于应变增加，不稳定区域的面积趋于增大，建议最佳处理范围为440–450°C。发现微观结构演变与加工图的预测一致。