研究了Al-4Cu-Mg合金半固态压缩变形过程中微观组织参数的变化.结合模糊数学和人工神经网络理论,以Al-4Cu-Mg合金半固态压缩变形时的变形温度、变形程度和应变速率为输入参数,以变形后的晶粒等效直径或分形维数为输出参数,建立了Al-4Cu-Mg合金半固态压缩时的微观组织计算模型.研究结果表明,计算结果与实验结果吻合较好.因此,应用本模型可对Al-4Cu-Mg合金半固态成形过程中的微观组织演变进行预测,为优化变形工艺参数提供了简便、适用的方法.
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