李金刚,林思建,龙伟,徐磊.基于FSM无损检测的金属管道均匀腐蚀剩余寿命预测[J].表面技术,2016,45(3):7-11.
LI Jin-gang,LIN Si-jian,LONG Wei,XU lei.Life Prediction for Metal Pipe of Uniform Corrosion Based on Field Signature Method[J].Surface Technology,2016,45(3):7-11
基于FSM无损检测的金属管道均匀腐蚀剩余寿命预测
Life Prediction for Metal Pipe of Uniform Corrosion Based on Field Signature Method
投稿时间:2015-12-01  修订日期:2016-03-20
DOI:10.16490/j.cnki.issn.1001-3660.2016.03.002
中文关键词:  金属管道  均匀腐蚀  场指纹法  影响因子  剩余寿命预测  数学模型
英文关键词:metal pipe  uniform corrosion  field signature method  Impact factor  residual life prediction  mathematical model
基金项目:国家自然科学基金资助项目(51075286)
作者单位
李金刚 四川大学 制造科学与工程学院, 成都 610065 
林思建 四川大学 制造科学与工程学院, 成都 610065 
龙伟 四川大学 制造科学与工程学院, 成都 610065 
徐磊 四川大学 制造科学与工程学院, 成都 610065 
AuthorInstitution
LI Jin-gang School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China 
LIN Si-jian School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China 
LONG Wei School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China 
XU lei School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China 
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中文摘要:
      目的 预测均匀腐蚀下金属管道剩余寿命。方法:场指纹法(FSM)是近年新发展起来的一种电位矩阵检测法,它通过监测电流在金属结构上流动方向的细微变化来检测由于腐蚀引起的金属损失、脆裂和凹坑,其检测精度较高,灵敏度是金属管道剩余壁厚的0.1%,并且能便捷地计算出腐蚀速率。实验用场指纹法(FSM)对一直径为750mm,壁厚为10mm的金属管道进行实时检测,试验中随机选择15个不同位置进行检测,每隔3个月检测一次,通过检测不同电极对之间电压值的变化量计算出管壁厚度的变化值。结果:随着时间的推移,金属管道薄厚值逐渐减小,且减少的速率越来越大,且腐蚀速率也与运输的介质、含氧量、金属管道材料、运输的介质中的杂质有着密切关系,全面分析实验数据可以得到金属管道腐蚀速率的规律。结论:本文研究了API579中对金属管道剩余寿命预测的方法,具体分析了方法中存在的缺陷。通过场指纹法(FSM)对金属管道腐蚀情况进行实时监测,对实验数据进行分析,加入影响腐蚀速率因素的影响影子K,运用数理统计的方法探索性地提出了一种均匀腐蚀下金属管道剩余寿命Rlife预测的数学模型。
英文摘要:
      In order to Predicting residual life of metal pipe of uniform corrosion. Field signature method is a new measurement method through potential matrix. It can detect metal loss, cracks and potholes caused by corrosion through subtle changes of current on the metal structure. Its detection accuracy is relatively high, and sensitivity is 1% of wall thickness of metal pipe. It can also calculate the corrosion rate of the pipeline. We tested wall thickness of a metal pipe with 720 mm diameter and 10mm thickness. We selected 15 different position. And we test it every 3 months. We calculated the metal pipe wall thickness through the change of the voltage between electrodes. Corrosion rate is related to many factors, such as time, oxygen content, materials of pipe, etc. This paper analyzes the defects of the method that API579 predict the residual life of metal pipes Subjected to uniform corrosion. We have detected metal pipe corrosion through field signature method. Finally, we exploratory put forward the mathematical model for predicting the remaining life of the pipeline Subjected to uniform corrosion. And we add the Impact factor K in the mathematical model.
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