许宏良,殷苏民.基于动态杂散电流和二氧化碳干扰的输气管道表面腐蚀速率研究[J].表面技术,2017,46(1):206-210.
XU Hong-liang,YIN Su-min.Surface Corrosion Rate of Gas Pipeline Based on Dynamic Stray Current and Carbon Dioxide Interference[J].Surface Technology,2017,46(1):206-210
基于动态杂散电流和二氧化碳干扰的输气管道表面腐蚀速率研究
Surface Corrosion Rate of Gas Pipeline Based on Dynamic Stray Current and Carbon Dioxide Interference
投稿时间:2016-06-13  修订日期:2017-01-20
DOI:10.16490/j.cnki.issn.1001-3660.2017.01.033
中文关键词:  动态杂散电流  CO2浓度  多元线性回归模型  金属管道  腐蚀速率  仿真
英文关键词:dynamic stray current  CO2 concentration  multiple linear regression model  metallic pipelines  corrosion rate  simulation
基金项目:江苏省科技支撑计划资助项目(BE2013009-1)
作者单位
许宏良 江苏城乡建设职业学院,江苏 常州 213147 
殷苏民 江苏大学,江苏 镇江 212013 
AuthorInstitution
XU Hong-liang Jiangsu Urban and Rural Construction College, Changzhou 213147, China 
YIN Su-min Jiangsu University, Zhenjiang 212013, China 
摘要点击次数:
全文下载次数:
中文摘要:
      目的 预测输气金属管道表面腐蚀速率。方法 分析动态杂散电流和二氧化碳(CO2)浓度对金属管道的表面腐蚀机理,给出金属管道表面腐蚀产生的化学反应方程式。根据一元回归线性方程式得出多元线性回归数学方程式,推导出动态杂散电流和CO2腐蚀金属管道表面方程式,得出金属管道表面腐蚀预测的最终模型。结合具体实例,采用数学软件MATLAB对45号金属管道表面腐蚀速率预测的多元线性回归模型进行仿真,并且与实验测量的腐蚀速率进行比较和分析。结果 金属管道表面的腐蚀速率随着动态杂散电流或者CO2浓度的增大而逐渐增大。在100 h内,电流和CO2浓度仿真的金属管道表面最大腐蚀速率分别为3.72×10–4 mm/h和4.80×10–4 mm/h,电流和CO2浓度仿真的金属管道表面最小腐蚀速率分别为3.26×10–4 mm/h和4.24×10–4 mm/h,电流和CO2浓度实验测量的金属管道表面最大腐蚀速率分别为3.76×10–4 mm/h和4.86×10–4 mm/h,电流和CO2浓度实验测量的金属管道表面最小腐蚀速率分别为3.12×10–4 mm/h和4.08×10–4 mm/h。同时,金属管道表面腐蚀速率理论计算值与实验测量值的相对误差在5%以内。结论 采用多元线性回归模型可以近似预测输气金属管道表面的腐蚀速率,为管道的使用寿命提供参考数据,避免输气金属管道发生重大安全事故。
英文摘要:
      The work aims to predict surface corrosion rate of metallic gas pipeline. Surface corrosion mechanism of dynamic stray current and carbon dioxide (CO2) concentration on metallic pipelines was analyzed to present chemical reaction equation of surface corrosion of the metallic pipelines. Multiple linear regression equation was obtained based on simple linear regression equation, then metal pipe surface equation of dynamic stray current and CO2 corrosion was further derived, and the final model for corrosion prediction of metal pipe surface was obtained. Based on the specific examples, the multiple linear regression model for surface corrosion rate prediction of 45 metallic pipelines was simulated by mathematical software MATLAB, and the corrosion rate was compared and analyzed by comparing with the experimental measurement. The corrosion rate of metallic pipeline surface increased with the increase of the dynamic stray current or CO2 concentration. Within 100 h, maximum corrosion rate of metallic pipeline surface with simulated current and CO2 concentration was 3.72×10–4 mm/h and 4.80×10–4 mm/h respectively, and the minimum 3.26×10–4 mm/h and 4.24×10–4 mm/h respectively. Maximum corrosion rate of metallic pipeline surface in current and CO2 concentration experimental measurement was 3.76×10–4 mm/h and 4.86×10–4 mm/h respectively, and the minimum 3.12×10–4 mm/h and 4.08×10–4 mm/h respectively. Meanwhile, the relative error between the theoretical value and the experimental value was less than 5%. The multiple linear regression model can be used to predict corrosion rate of the surface of the metallic gas pipelines approximately, providing reference data for the service life of pipelines and preventing major safety accidents of metallic gas pipelines.
查看全文  查看/发表评论  下载PDF阅读器
关闭

关于我们 | 联系我们 | 投诉建议 | 隐私保护 | 用户协议

您是第19965059位访问者    渝ICP备15012534号-3

版权所有:《表面技术》编辑部 2014 surface-techj.com, All Rights Reserved

邮编:400039 电话:023-68792193传真:023-68792396 Email: bmjs@surface-techj.com

渝公网安备 50010702501715号