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自然环境因素对铝合金大气腐蚀的影响性研究 被引量:1

Effect of Natural Environmental Factors on Atmospheric Corrosion of Aluminum Alloys
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摘要 目的研究铝合金大气腐蚀受自然环境因素的影响性,探索环境因素对铝合金腐蚀的影响规律。方法采用多层感知器神经网络分析环境因素对7种铝合金平均腐蚀速率的影响。结果确定了影响铝合金腐蚀损伤的重要因素为SO2沉积率、Cl–沉积率、NOx沉积率;辅要因素为年降雨量、年雾露时数、相对湿度、年日照时数、温度、铝合金成分;次要因素为年累积降水时数、雨水pH值。结论基于多层感知器神经网络分析有效展现了环境因素对平均腐蚀速率的影响性。 The work aims to study the effect of natural environmental factors on corrosion of aluminum alloys,and explore the effect law of environmental factors on corrosion of aluminum alloys.The effect of environmental factors on the average corrosion rate of seven aluminum alloys was analyzed by multi-layer perceptron neural network.The important factors affecting the corrosion damage of aluminum alloy were Cl–deposition rate,SO2 deposition rate,NOx deposition rate.The auxiliary factors were annual rainfall,annual fog and dew hours,relative humidity,annual sunshine hours,temperature,and chemical composition.The secondary factors were annual precipitation hours and PH of rain.The analysis based on the multi-layer perceptron neural network effectively demonstrates the effect of environmental factors on the average corrosion rate of aluminum alloys.
作者 张志豪 舒畅 王竟成 ZHANG Zhi-hao;SHU Chang;WANG Jing-cheng(Southwest Institute of Technology and Engineering,Chongqing 400039,China)
出处 《装备环境工程》 CAS 2023年第12期156-162,共7页 Equipment Environmental Engineering
基金 博士后出站留(来)渝资助(渝人社办[2023]70号)。
关键词 铝合金 环境因素 大气腐蚀 神经网络 多层感知器 平均腐蚀速率 aluminum alloy environmental factor atmospheric corrosion neural network multi-layer perceptron average corrosion rate
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