热浸镀锌层在中性盐雾试验中的寿命预测研究

摘要

The neutral salt spray test process of hot dip galvanized layer was analyzed as well as the change of coating thickness loss quantity with time, thickness loss value was selected as the main influencing index, rounding off of effective data was used to accumulate data for sorting. With the method of establishing BP neural simulation network, state curve of coating thickness loss with salt spray time was fitted out, so theoretical service life of hot dip galvanized coating was predicted, which could provide the required time point for the secondary repair work of hot-dip galvanized layer. In addition, the simulation curve showed that the galvanized layer thickness loss value change experienced three stages of acceleration - smooth - reacceleration.%通过对热浸镀锌层的中性盐雾试验过程和镀层厚度损耗量随时间变化的分析,遴选出厚度损耗值作为主要影响指标,采用有效的数据修约方式对累积数据进行分类整理,在此基础上采用建立BP神经模拟网络的方式,合理拟合出镀层厚度损耗值随盐雾时间变化的状态曲线,从而预测出热浸镀锌镀层的理论使用寿命,为热浸镀锌层的二次修复工作提供所需的时间点.通过模拟曲线可知,热浸镀锌镀层厚度损耗值的变化经历了一个加速-平稳-再加速三个阶段.