Experimental investigation and modelling of microstructural variables of Al–4Cu–Mg alloy
Experimental investigation and modelling of microstructural variables of Al–4Cu–Mg alloy
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DOI：
10.1179/174328408x278484
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发表时间：
2008-07
影响因子：
1.8
通讯作者：
Y. L. Lu;Miaoquan Li;X. C. Li
中科院分区：
文献类型：
--
作者：
Y. L. Lu;Miaoquan Li;X. C. Li
研究了Al-4Cu-Mg合金在半固态压缩过程中，工艺参数对组织演变的影响，包括α固体颗粒的晶粒尺寸和形状因子。实验在540、560和580°C的变形温度下进行，应变速率为0 stec 001、0 stec 01、0 stec 1和1 s-1，高度减少量为20、40和60%。光学显微镜和定量金相分析结果表明，变形工艺参数对Al-4Cu-Mg合金半固态压缩过程中的显微组织有显著影响，且具有模糊特征。根据Al-4Cu-Mg合金半固态压缩实验结果，将模糊神经网络的学习能力与模糊推理系统相结合，建立了一个描述Al-4Cu-Mg合金半固态压缩组织演变的模糊神经网络模型。本文提出的模型可用于预测变形温度为540-580°C、应变速率为0 stec 001-1 s-1时的显微组织变化。晶粒尺寸的最大相对差异为9tec34%。预测结果与实验结果吻合较好。
The effects of process parameters on microstructural evolution, including grain size and shape factor of the α solid particles during semisolid compression of an Al–4Cu–Mg alloy, were investigated. Experiments were conducted at deformation temperatures of 540, 560 and 580°C, strain rates of 0˙001, 0˙01, 0˙1 and 1 s–1, and height reductions of 20, 40 and 60%. All of the optical micrographs and quantitative metallography showed that deformation process parameters significantly affect the microstructure during semisolid compression of Al–4Cu–Mg alloy, which appears to have a fuzzy characteristic. According to the experimental results from the semisolid compression of Al–4Cu–Mg alloy, a model has been established to describe microstructural evolution by applying a fuzzy set and artificial neural network, which integrates the learning power of neural networks with fuzzy inference systems. The model presented in the present paper can be applied to predict the microstructural changes at deformation temperatures of 540–580°C and strain rates of 0˙001–1 s–1. The maximum relative difference of grain size is 9˙34%. The predicted results are in satisfactory agreement with the experimental results.