Investigation of pitting corrosion monitoring using field signature method

Measurement ◽  
2016 ◽  
Vol 82 ◽  
pp. 46-54 ◽  
Author(s):  
Fangji Gan ◽  
Guiyun Tian ◽  
Zhengjun Wan ◽  
Junbi Liao ◽  
Wenqiang Li
Keyword(s):  
Pitting Corrosion ◽  
Corrosion Monitoring

scholarly journals An Integrated Architecture for Corrosion Monitoring and Testing, Data mining, Modeling and Diagnostics/Prognostics

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Honglei Li ◽  
Margaret R Garvan ◽  
Jiaming Li ◽  
Javier Echauz ◽  
George J. Vachtsevanos ◽  
...  
Keyword(s):  
Data Mining ◽  
Image Processing ◽  
Pitting Corrosion ◽  
Particle Filtering ◽  
Propagation Model ◽  
Corrosion Monitoring ◽  
Modeling Framework ◽  
Process Detection ◽  
The Impact ◽  
Detection And Quantification

It has been established that corrosion is one of the most important factors causing deterioration and decreased performance and reliability in critical aerospace and industrial systems. Corrosion monitoring, detection, and quantification are recognized as key enabling technologies to reduce the impact of corrosion on the integrity of aircraft and industrial assets. Accurate and reliable detection of corrosion initiation and propagation, with specified false alarm rates, requires novel tools and methods, including verifiable simulation and modeling methods. This paper reports an experimental investigation of the detection and quantification of pitting corrosion on aluminum alloy panels using 3D surface metrology methods and image processing techniques. Panel surfaces were evaluated by laser microscopy and stylus-based profilometry to characterize global and local surface features. Promising imaging and texture features were extracted and compared between coated and uncoated aluminum panels at different exposure times under accelerated corrosion conditions. Image processing, information processing, and data mining techniques were utilized to evaluate the presence and extent of pitting corrosion. A new modeling framework for corrosion stages is introduced that emphasizes the representation of pitting corrosion and ultimately the crack formation process. Detection and prediction of the evolution of corrosion stages relies on data, a particle filtering method, and the corrosion propagation model. Results from these experimental studies demonstrate the efficacy of this proposed methodology.

Remote Monitoring of Pitting Corrosion Using a Next Generation Electric Field Mapping (EFM) System

2008 ◽  
Author(s):  
Eric Kubian ◽  
Andrew Vorozcovs ◽  
Sam Cauchi
Keyword(s):  
Electric Field ◽  
Monitoring System ◽  
Wall Thickness ◽  
Pitting Corrosion ◽  
Corrosion Monitoring ◽  
Worst Case ◽  
Internal Corrosion ◽  
Field Mapping ◽  
Corrosion Rates ◽  
Area Of Interest

Pitting corrosion is one of the most serious problems in sour gas / oil pipelines and in crude oil refineries. Unlike generalized wall loss, pitting corrosion can grow at non-uniform rates and can rapidly proceed to full depth penetration. Such a loss of integrity can lead to leaks that cause production shutdowns, environmental damage, or in the worst case, loss of life. In practice, pitting corrosion is generally detected during pipeline inline inspection or during routine ultrasound scans undertaken as part of a maintenance program. Locations identified to exhibit pitting corrosion are then often risk ranked, and then either repaired or monitored depending on a variety of factors. Unfortunately, the sites where this type of corrosion frequently occurs are often inaccessible for frequent follow-up wall thickness inspections due to geographical remoteness or the need to the use of scaffolding to reach the site. This difficulty creates a need for an advanced internal corrosion monitoring system capable of remotely monitoring the progression of pitting corrosion. This paper describes a new pitting corrosion monitoring system based on the principal of Electric Field Mapping (EFM) and proceeds to describe recent results from an operational field installation of this technology. Using this technique, remaining wall thickness is carefully mapped out within a pre-defined area of interest. The system indicates the presence of any generalized corrosion in addition to the location, width, and depth of individual pitting corrosion defects. Innovations of this new EFM system include the use of a robust pre-fabricated fiberglass shell that significantly reduces the installation time compared to earlier technologies; non-welded contacts that have minimal metallurgical impact; permanent, self-powered on-site data acquisition system equipped with cellular or satellite data communication. Design principles of this technique are discussed, and installation procedures are outlined. Results are presented from a field site where pitting corrosion is being monitored on an ongoing basis. Background information on the installation, in addition to project goals and observations are reported. Daily wall thickness data obtained remotely from the site is used to report individual corrosion rates for pitting defects within the pipeline. These corrosion rates are then plotted over time and correlated to events such as process upsets, chemical inhibitor application, cleaning pig runs, and other actions intended to mitigate for internal corrosion. This correlation provides data which is then subsequently used to improve the corrosion mitigation program in place, and better schedule maintenance activities.

scholarly journals CALCULATION METHOD OF IMPEDANCE MODULE FOR CORROSION MONITORING OF SURFACE STATE OF CHROMONICKEL STEELS

2020 ◽  
Vol 63 (3) ◽  
pp. 60-66
Author(s):  
Svetlana S. Vinogradova ◽  
Anna N. Akhmetova ◽  
Ramilya F. Tazieva
Keyword(s):  
Pitting Corrosion ◽  
Surface State ◽  
Transformation Method ◽  
State Assessment ◽  
Fast Fourier Transformation ◽  
Corrosion Monitoring ◽  
Angular Coefficient ◽  
Boundary Values ◽  
State Monitoring ◽  
Additional Criterion

In discussed issue the additional criterion for chromium-nickel steels surface state assessment is proposed. It is used in periodic potentiostatic regime of stainless steels surface state monitoring under the condition of pitting corrosion origin. Electrochemical investigations were carried out with pitting corrosion resistant austenitic (12Х18Н10Т) and austenitic-ferritic chromium-nickel steels 10Х17Н13М2Т in chloride solutions of 0.1 mol/L NaCl and 0.5 mol/l NaCl with the additional oxidant K2Cr2O7. Polarization curves were recorded under potentiostatic mode of polarization in the electrochemical three-electrode cell using the ZIVE SP2 workstation and a personal computer. The fast Fourier transformation method was used for conducting the spectral analysis, as this method is more effective in terms of the algorithmic complexity when processing a large amount of the initial data. It is established that scalar impedance angular coefficient shows the current oscillation frequencies change concerned with the pitting occurrence and passivation process. The scalar impedance angular coefficient allows to estimate the pitting corrosion evaluation processes boundaries: passivity; metal dissolution due to the development of metastable pittings; the metastable nucleation and passivation processes concurred with the stable pitting development. The algorithm based on the statistical method of spectral analyses for scalar impedance angular coefficient calculation is developed. It is established that the decrease in passive film total resistance corresponds to the breakdown process and first metastable, and then stable local surface destructions that reflect on the higher the scalar impedance angular coefficient value. The boundary values of an additional criterion for surface state assessment were proposed, on the basis of which an interval scale was constructed to determine the current state of the surface of chromium-nickel steels. It is shown that the boundary values of the scalar impedance angular coefficient correspond to the metallographic studies of investigated steels.

Development of Pitting Corrosion Monitoring Device under Sodium Chloride Droplet by Means of Wet-Dry Cyclic Method

2017 ◽  
Vol 751 ◽  
pp. 107-112
Author(s):  
Wongpat Banthukul ◽  
Namurata Sathirachinda Palsson ◽  
Ekkarut Viyanit ◽  
Aphichart Rodchanarowan
Keyword(s):  
Relative Humidity ◽  
Pitting Corrosion ◽  
Ccd Camera ◽  
Localized Corrosion ◽  
Corrosion Monitoring ◽  
Metallic Materials ◽  
Nacl Solution ◽  
Materials Selection ◽  
Corrosive Media ◽  
Solution Droplet

Pitting corrosion caused by wet-dry cycles under corrosive media droplet is one of the key concerns for passive film of metallic materials, particularly stainless steels and aluminum alloys, exposed to atmosphere during service. In this context, the formation of corrosion can lead to high investment cost dealing with corrosion mitigation strategy, e.g. materials selection, electrochemical corrosion control, etc. Based on materials selection perspectives, it is very necessary to have proper understanding of localized corrosion behaviors of metallic materials under solution droplet. Therefore, the present study aims to develop a methodology for pitting corrosion monitoring that can be suitably used for extending better understanding on corrosion phenomena occurring under wet-dry cycles of droplet. A special liquid handling apparatus controlled by Arduino software was constructed and used for generating NaCl solution droplet at given dimension on the surface of stainless steel specimens based on Pendant drop principle. This was recognized as wet cycle. During dry cycle, such NaCl solution droplet was naturally dried off in various conditions of relative humidity. Pitting initiation was observed through a high-resolution CCD camera. Droplet morphology and evaporation time were evaluated at the temperature of 27°C and relative humidity of 10% and 60%. The research results revealed that pitting corrosion started at 1st cycle without rust formation. Afterwards, the rust formation was clearly noticed when testing cycles of 15 were exceeded.

scholarly journals The pitting corrosion monitoring of stainless steel in a simulated corrosive condition in marine applications

2018 ◽  
Vol 1 (1) ◽  
pp. Proof
Author(s):  
Thee Chowwanonthapunya
Keyword(s):  
Stainless Steel ◽  
Passive Film ◽  
Pitting Corrosion ◽  
Stainless Steels ◽  
Immersion Time ◽  
Corrosion Monitoring ◽  
Metallurgical Investigation ◽  
Inhibiting Effect ◽  
Acidic Conditions ◽  
Marine Applications

This paper describes the pitting corrosion monitoring of ferritic and austenitic stainless steel under a simulated acidic condition of marine appications. The monitoring deals with the corrosion weight loss and metallurgical investigation. The results indicated that the stainless steel with passive film shows the good corroison resistance to the simulated corrosive environment for the all test periods. In contrast, the stainless steel without passive film cannot provide the inhibiting effect for the whole test periods. After the 24 hr. of testing , both of the stainless steel are locally attacked. Pitting corrosion was observed on the surface of both stainless steels. In small pits, the self-accelerating corrosion can occur. Therefore, the longer immersion time attributes to the higher corrosion rate of both stainless steel in a simulated acidic conditions.

Lamb Wave Tomography and Its Application in Pipe Erosion/Corrosion Monitoring

1996 ◽  
Vol 8 (1) ◽  
pp. 189-197
Author(s):  
J. Pei ◽  
M. I. Yousuf ◽  
F. L. Degertekin ◽  
B. V. Honein ◽  
B. T. Khuri-Yakub
Keyword(s):  
Lamb Wave ◽  
Corrosion Monitoring ◽  
Erosion Corrosion ◽  
Wave Tomography

Analysis of field uniformity and quantitative evaluation of subsurface pitting corrosion in conductors via GPEC

2020 ◽  
Vol 64 (1-4) ◽  
pp. 19-29
Author(s):  
Shuting Ren ◽  
Yong Li ◽  
Bei Yan ◽  
Jinhua Hu ◽  
Ilham Mukriz Zainal Abidin ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Eddy Current ◽  
Pitting Corrosion ◽  
Gradient Field ◽  
Uniform Field ◽  
Eddy Current Method ◽  
Optimal Position ◽  
Pulsed Eddy Current ◽  
Field Uniformity ◽  
Processing Algorithms

Structures of nonmagnetic materials are broadly used in engineering fields such as aerospace, energy, etc. Due to corrosive and hostile environments, they are vulnerable to the Subsurface Pitting Corrosion (SPC) leading to structural failure. Therefore, it is imperative to conduct periodical inspection and comprehensive evaluation of SPC using reliable nondestructive evaluation techniques. Extended from the conventional Pulsed eddy current method (PEC), Gradient-field Pulsed Eddy Current technique (GPEC) has been proposed and found to be advantageous over PEC in terms of enhanced inspection sensitivity and accuracy in evaluation and imaging of subsurface defects in nonmagnetic conductors. In this paper two GPEC probes for uniform field excitation are intensively analyzed and compared. Their capabilities in SPC evaluation and imaging are explored through simulations and experiments. The optimal position for deployment of the magnetic field sensor is determined by scrutinizing the field uniformity and inspection sensitivity to SPC based on finite element simulations. After the optimal probe structure is chosen, quantitative evaluation and imaging of SPC are investigated. Signal/image processing algorithms for SPC evaluation are proposed. Through simulations and experiments, it has been found that the T-shaped probe together with the proposed processing algorithms is advantageous and preferable for profile recognition and depth evaluation of SPC.

Corrosion monitoring and root cause identification in high solids concentrators

TAPPI Journal ◽  
2016 ◽  
Vol 15 (7) ◽  
pp. 467-477
Author(s):  
PASI NIEMELAINEN ◽  
MARTTI PULLIAINEN ◽  
JARMO KAHALA ◽  
SAMPO LUUKKAINEN
Keyword(s):  
Paper Industry ◽  
Black Liquor ◽  
Construction Materials ◽  
Open Circuit ◽  
Process Conditions ◽  
Potential Range ◽  
Corrosion Monitoring ◽  
General Corrosion ◽  
High Solids ◽  
Passive Area

Black liquor high solids (about 80%) concentrators have often been found to suffer from aggressive corrosion. In particular, the first and second effect bodies are susceptible to corrosion attacks resulting in tube leaks and wall thinning, which limit the availability and lifetime of evaporator lines. Corrosion dynamics and construction materials have been studied extensively within the pulp and paper industry to understand the corrosion process. However, it has been challenging to identify root causes for corrosion, which has limited proactive measures to minimize corrosion damage. Corrosion of the first phase concentrator was studied by defining the potential regions for passive area, stress corrosion cracking, pitting corrosion, and general corrosion. This was achieved by using a technique called polarization scan that reveals ranges for the passive area in which the equipment is naturally protected against corrosion. The open circuit potential, also known as corrosion potential, and linear polarization resistance of the metal were monitored online, which allowed for definition of corrosion risks for stainless steel 304L and duplex stainless steels 2205 and SAF 2906. An online temperature measurement added insight to the analysis. A process diagnostics tool was used to identify root causes of the corrosion attacks. Many of the root causes were related to process conditions triggering corrosion. Once the metal surface was activated, it was difficult to repassivate the metal naturally unless a sufficient potential range was reached.

Sign in / Sign up

Export Citation Format

Share Document