干湿交替环境中SO_2和H_2S混合气体对紫铜T2的腐蚀行为研究

Corrosion Behavior of Copper in Cyclic Dry-wet Environment with Gas Mixture of SO_2 and H_2S

自制了一套干湿环境交替、SO_2和H_2S混合气体浓度可调的模拟实验装置,采用室内加速腐蚀、电化学分析、微观表征等方法,研究了干湿交替环境中SO_2和H_2S混合气体对紫铜T2的腐蚀特性和规律,运用BP神经网络模型建立了紫铜T2的腐蚀速率预测模型,并对其可靠性进行了检验。结果表明,实验初期腐蚀速率增加较迅速,后期增加缓慢;腐蚀产物出现蚀坑且有裂痕,主要成分是Cu_2Cl(OH)_3,Cu_2S和Cu_4SO_4(OH)_6;所建立的模型预测结果误差小于10%,表明该模型具有良好的可靠预测性。

Accident of power supply system due to corrosion of metallic materials in substation induced by industrial atmospheric emissions has become an important problem, which affects the network security. Among others, the corrosion of copper T2 was the most serious. In this paper, with a homemade setup as indoor accelerated corrosion test means, the corrosion behavior of copper in cyclic drywet environment with gas mixture of SO2 and H2S was investigated by means of electrochemical measurement and microscopic characterization. While a BP neural network model was established, of which the forecast dependability was evaluated. The results indicate that the weight increase rapidly at initial stage, but slowly at later stage. The copper T2 suffered from pitting corrosion. The corrosion products with cracks consisted of Cu2Cl（OH）3, Cu2S and Cu4SO4（OH）6. The error of the predicted model is less than 10%, thus the model has good prediction dependability.