The results showed that, for 1420 alloy at double-ageing state, the maximum corrosion depth was consistent with the Gumbel distribution law.
以最大腐蚀深度为腐蚀损伤衡量指标，研究双级时效合金模锻件腐蚀的统计规律。
Make use of available experimental data of LY12CZ aluminum alloy, a probabilistic neural network was developed to classify the maximum corrosion depth ranges based on the material failure mode.
运用LY12CZ的腐蚀实验数据，根据高强铝合金的失效模式（点蚀-晶间腐蚀-剥蚀），建立了对最大腐蚀深度分类的概率神经网络模型，输出结果与实验数据比较吻合。
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