Cold worked and annealed supersaturated Cu-2.65Ni-0.6Si and Cu-2.35Ni-0.6Si-0.6Cr alloys were studied. The microstructural parameters evolution, including crystallite size, root mean square strain and dislocation density was analyzed using Materials Analysis Using Diffraction software (MAUD). The parameters for both alloys have typical values of cold deformed and subsequently annealed copper based alloy. A net change of the crystallite size, root mean square strain and dislocation density values of the alloys aged at 450 °C for 2.5-3 h seems corresponding to the recovery and recrystallization processes. Addition of Cr as quaternary element did not lead to any drastic changes of post deformation or ageing microstructural parameters and hence of recovery-recrystallization kinetics.
利用人工神经网络对Cu Ni Si Cr变形合金时效工艺参数与时效后性能样本集进行学习 ,建立了合金时效后的性能关于时效温度、时间和变形量等参数的非线性映射模型。模型采用改进的BP算法%DLevenberg Marquardt算法。结果表明 :所建立的神经网络模型具有较高的精度及良好的泛化能力 ,可对Cu Ni Si Cr合金时效后的性能进行有效的预测和分析。