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论文类型：期刊论文

发表时间：2008-12-10

发表刊物：SENSORS AND ACTUATORS B-CHEMICAL

收录刊物：SCIE、EI、Scopus

卷号：135

期号：1

页面范围：375-380

ISSN号：0925-4005

关键字：Corrosion capability; Internal-pipeline; On-line monitoring; Amendatory correlation coefficient; Non-linear relationship

摘要：In this paper, a Cu-Zn galvanic sensor is developed for the internal-pipeline corrosion on-line monitoring system, in which the internal-pipeline corrosion state is grasped based on monitoring the corrosion capability of the internal electrolyte environment. The galvanic corrosion behaviors of the sensor in a Simulated seawater environment are investigated using a 50-m-long pipeline in the laboratory. After long-term test and analysis, the effective working period of the sensor is confirmed, and the influence caused by the oxidative film on the electrode working face is eliminated by an amendatory correlation coefficient relating to the electrolyte flow rate and the temperature. A complex and non-linear relationship, among the electric current of the galvanic sensor, flow rate and temperature of the electrolyte, the concentration of dissolved oxygen (DO) in pipeline, is acquired. Finally, back-propagation artificial neural network (BP-ANN) is employed to estimate the concentration of DO of the electrolyte according to the measured factors Such as the electric Current of the galvanic sensor, flow rate and temperature of the internal electrolyte. Based on the comparison between corrosion Coupons test and monitoring system, it is affirmed that a more reasonable evaluation of internal-pipeline corrosion can be proposed in the monitoring system. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.