基于Gleeble-1500热模拟机测定的AZ31镁合金热压缩实验数据,通过BP神经网络对数据进行训练,建立了流变应力与应变、应变速率和温度相对应的预测模型,采用该模型的预测数据构造了AZ31的加工图.结果表明:AZ31流变失稳区分布在低温高应变速率区和中温较低应变速率区,当温度为340～440℃、应变速率为0.01～0.02s-1时功率耗散因子较大,为加工性较好的区域;利用经过训练的神经网络模型,流变应力的网络预测值与实验值能够很好地吻合,其最大相对误差为6.67％;不同变形条件绘制的加工图表明AZ31是应变不敏感、但对温度和应变速率敏感的材料.
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