An improved atmospheric corrosion prediction model considering various environmental factors

CORROSION ◽  
10.5006/3879 ◽  
2021 ◽  
Author(s):  
Ziguang Ji ◽  
Xiaobing Ma ◽  
Kun Zhou ◽  
Yikun Cai
Keyword(s):  
Environmental Factors ◽  
Prediction Model ◽  
Process Model ◽  
Atmospheric Corrosion ◽  
Corrosion Process ◽  
Atmospheric Environment ◽  
Suitable Model ◽  
Environment Factors ◽  
Climatic Regions ◽  
Fitting In

There are obvious differences in the corrosion process of materials in different climatic regions, and it is of great significance to establish the corrosion process model considering the effects of environmental factors to improve environmental adaptability. However, many existing models do not take comprehensive environmental factors into account, and the selection of environmental factors in these corrosion models is not sufficiently investigated. Meanwhile, the comparison of models is also based on goodness-of-fitting. In order to improve the atmospheric corrosion prediction model and use an improved method to judge the suitable model instead of traditional goodness-of-fitting, this paper firstly studies the effects of various atmospheric environment factors on corrosion loss. Then a corrosion prediction model considering the influence of various atmospheric environment factors is proposed, and the fitting effect is compared with the previous model with experimental data. Considering that the best fitting can no guarantee the best prediction, a new criterion of model selection is also proposed for corrosion model confirmation. Corrosion prediction results reveal that the proposed model is more effective than the existing models. Finally, the influence of the environmental factors on the model output is discussed by sensitivity analysis.

Analysis on Electrical Connector Corrosion in Southeast Coastal Areas

2013 ◽  
Vol 706-708 ◽  
pp. 1746-1749
Author(s):  
Kang Du ◽  
Jun Xu ◽  
Yao Hui Zhang ◽  
Zi Jie Wei
Keyword(s):  
Environmental Factors ◽  
Failure Probability ◽  
Coastal Areas ◽  
Corrosion Process ◽  
Atmospheric Environment ◽  
Reliability Level ◽  
Metal Material ◽  
Electrical Connector ◽  
Electrical Connectors

The special atmospheric environment accelerats the corrosion process of electrical connectors in southeast coastal areas. It causes the failure probability increased and the reliability level declined. This paper discussed the most kinds of electrical connector corrosions in southeast coastal areas. The corrosion characters of the metal material used on the electrical connectors are expounded, and environmental factors in the corrosion of electrical connectors are introduced at length.

Research on Prediction of Carbon Steel in SO2 Atmospheric Corrosion Using Grey Model

2014 ◽  
Vol 507 ◽  
pp. 258-262
Author(s):  
Ping Wang ◽  
Zhao Hui Yin ◽  
Han Tao Ren ◽  
Song Xu
Keyword(s):  
Carbon Steel ◽  
Corrosion Rate ◽  
Prediction Model ◽  
Relative Error ◽  
Atmospheric Corrosion ◽  
Grey Model ◽  
Fitting Accuracy

The rate of carbon steel in SO2 Atmospheric Corrosion was modeled by grey model GM (1, 1). The accuracy and rationality of prediction model have been evaluated. The result indicated that the model had a better fitting accuracy. By comparing the calculated values with a predicted atmospheric corrosion rate of carbon steel after 264h, it showed that its relative error has been just 0.5619% which had higher forecast reliability.

Analysis of Group Pile Foundation Environmental Factors Based on Bayes Estimation

2013 ◽  
Vol 351-352 ◽  
pp. 1278-1283
Author(s):  
Tao Xue ◽  
Jun Fa Xu
Keyword(s):  
Environmental Factors ◽  
Pile Foundation ◽  
Growth Process ◽  
Bayes Estimation ◽  
Fusion Algorithm ◽  
Environment Factors ◽  
Sutong Bridge ◽  
Mechanical Performances ◽  
The Impact ◽  
Group Pile

The environmental factors have complex effects on the bearing properties of group pile foundation. Based on the "growth" process of the Sutong Bridge and the combination characteristics of environment factors, the relationships between the measured values of the group pile foundation and environmental factors were established. Then, the correlation decision determinations between the measured values and environmental factors were obtained by using the Bayes estimation fusion algorithm. Finally, the impacts of different environment factors on the bearing properties of group pile foundation had been got. The results showed that the impact of seasonal temperatures on the mechanical performances of the group pile foundation is very large.

scholarly journals Application of An Electrical Resistance Sensor-Based Automated Corrosion Monitor in the Study of Atmospheric Corrosion

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1065 ◽  
Author(s):  
Zhuolin Li ◽  
Dongmei Fu ◽  
Ying Li ◽  
Gaoyuan Wang ◽  
Jintao Meng ◽  
...  
Keyword(s):  
Electrical Resistance ◽  
Atmospheric Corrosion ◽  
Continuous Measurement ◽  
Atmospheric Environment ◽  
Corrosion Monitoring ◽  
Metallic Materials ◽  
Actual Environment ◽  
The Internet Of Things ◽  
Corrosion Monitor ◽  
Corrosion Data

An automated corrosion monitor, named the Internet of Things atmospheric corrosion monitor (IoT ACM) has been developed. IoT ACM is based on electrical resistance sensor and enables accurate and continuous measurement of corrosion data of metallic materials. The objective of this research is to study the characteristics of atmospheric corrosion by analyzing the acquired corrosion data from IoT ACM. Employing data processing and data analysis methods to research the acquired corrosion data of steel, the atmospheric corrosion characteristics implied in the corrosion data can be discovered. Comparing the experiment results with the phenomenon of previous laboratory experiment and conclusions of previously published reports, the research results are tested and verified. The experiment results show that the change regulation of atmospheric corrosion data in the actual environment is reasonable and normal. The variation of corrosion depth is obviously influenced by relative humidity, temperature and part of air pollutants. It can be concluded that IoT ACM can be well applied to the conditions of atmospheric corrosion monitoring of metallic materials and the study of atmospheric corrosion by applying IoT ACM is effective and instructive under an actual atmospheric environment.

Corrosion Performance of TRIP Steels under Atmospheric Environment

2019 ◽  
Vol 960 ◽  
pp. 3-8
Author(s):  
Hao Xu Wang ◽  
Yi Qin Cai ◽  
Zhuang Li ◽  
Qi Zhou
Keyword(s):  
Trip Steel ◽  
Atmospheric Corrosion ◽  
Alloying Elements ◽  
Atmospheric Environment ◽  
Protective Mechanism ◽  
Corrosion Performance ◽  
X Ray Diffraction ◽  
X Ray ◽  
Trip Steels ◽  
Surface Morphologies

Atmospheric corrosion test of TRIP steels was conducted in laboratory. The surface morphologies of the specimens were analyzed by scanning electron microscope (SEM), X-ray diffraction (XRD) and electro-probe microanalysis (EPMA). Corrosion performance of TRIP steels under atmospheric environment was investigated by discussing the protective mechanism. The corrosion rates of steel A are significantly greater than steel B in atmospheric environment tests. The enhancement of corrosion performance of TRIP steel is attributed to the additions of alloying elements, such as P, Cr, Cu, and Ni etc.. The alloying elements increase the compactness and densification of rust layers. Electrochemical characteristic of TRIP steel is improved by means of the enhancement of the thermodynamic stability.

Influence of environmental factors on atmospheric corrosion in dynamic environment

2018 ◽  
Vol 137 ◽  
pp. 163-175 ◽  
Author(s):  
Yikun Cai ◽  
Yu Zhao ◽  
Xiaobing Ma ◽  
Kun Zhou ◽  
Yuan Chen
Keyword(s):  
Environmental Factors ◽  
Atmospheric Corrosion ◽  
Dynamic Environment

Dishwasher Corrosion of Glasses

2008 ◽  
Vol 39-40 ◽  
pp. 317-322 ◽  
Author(s):  
Melek Orhon ◽  
İlkay Sökmen ◽  
Gülçin Albayrak
Keyword(s):  
Atmospheric Corrosion ◽  
Glass Composition ◽  
Quality Criteria ◽  
Corrosion Process ◽  
Cost Factor ◽  
Private Households ◽  
Glass Corrosion ◽  
Considerable Cost ◽  
Important Quality ◽  
Glass Tableware

Dishwasher resistance of glass articles is one of the most important quality criteria for glass tableware manufacturer. Dishwasher corrosion of glass and the resulting formation of unacceptable appearance limits the lifetime of glass tableware in private households and even more in professional catering business where constant replacement of glass tableware is a considerable cost factor. Usually glasses undergo through some reactions in an atmospheric corrosion process, which is known as “weathering” or “warehouse effect”. This phenomenon is found to trigger the formation of defects during dishwashing and, visible defects such as cloudiness and iridescence are formed on the glass surface after certain dishwasher cycles depending upon the degree of the atmospheric corrosion that has already been formed on the surface prior to washing. Consequently atmospheric corrosion resistance is an important parameter for dishwasher resistance. The present paper comprehensively investigates the glass corrosion behavior during dishwashing and the effect of glass composition on improved dishwasher resistance by rendering the glass less prone to atmospheric corrosion even under severe conditions.

Protective behavior of volatile corrosion inhibitor on atmospheric corrosion process of carbon steel under thin electrolyte liquid film of chloride solutions

2020 ◽  
Vol 10 (9) ◽  
pp. 1435-1443
Author(s):  
Dong Wang ◽  
Chenxi Wang ◽  
Changqing Fang ◽  
Xing Zhou ◽  
Mengyuan Pu ◽  
...  
Keyword(s):  
Corrosion Resistance ◽  
Carbon Steel ◽  
Liquid Film ◽  
Corrosion Inhibitor ◽  
Current Density ◽  
Atmospheric Corrosion ◽  
Corrosion Current Density ◽  
Corrosion Current ◽  
Corrosion Process ◽  
Closed Container

The corrosion process of carbon steel and corrosion resistance behavior of volatile corrosion inhibitor (VCI) under thin electrolyte liquid film containing chloride was investigated by electrochemical measurements and surface characterization. Results indicated that composite VCI was composed of sodium molybdate and sodium benzoate, and exhibited higher corrosion resistance in 3.5% NaCl solution compared with absence of VCI. The corrosion current density obviously decreased with presence of VCI, and the synergies between binary components increased the corrosion inhibiting rate on carbon steel to up to 90%. The corrosion current density of carbon steel increased with increased temperature after volatilization of VCI. A closed container was carried out to mimic atmospheric corrosion condition, and its vapor corrosion inhibition property was evaluated in this closed container. Results showed that the VCI acted as an inhibitor by suppressing anodic dissolution and metallic ion transfer through the formation of protective film. It was also observed that the variation of carbon steel surface with volatilization of VCI was assessed by atomic force microscope (AFM) and scanning electron microscope (SEM). The anodic process for carbon steel without VCI affected the corrosion rate due to accumulation of corrosion products, while the morphology of carbon steel was hardly changed with volatilization of VCI. The results showed that the VCI volatilized to the surface and form to protect film. VCI was automatically volatilized into gas, which protected steel from corrosion. This composite VCI can then be applied as a significant corrosion inhibition method.

Prediction Model of Serum Lithium Concentrations

2017 ◽  
Vol 51 (03) ◽  
pp. 82-88 ◽  
Author(s):  
Kazunari Yoshida ◽  
Hiroyuki Uchida ◽  
Takefumi Suzuki ◽  
Masahiro Watanabe ◽  
Nariyasu Yoshino ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Prediction Model ◽  
Predictive Accuracy ◽  
Compartment Model ◽  
Absolute Error ◽  
Oral Dosage ◽  
Therapeutic Drug ◽  
Suitable Model ◽  
Blood Draw ◽  
The Mean

Abstract Introduction Therapeutic drug monitoring is necessary for lithium, but clinical application of several prediction strategies is still limited because of insufficient predictive accuracy. We herein proposed a suitable model, using creatinine clearance (CLcr)-based lithium clearance (Li-CL). Methods Patients receiving lithium provided the following information: serum lithium and creatinine concentrations, time of blood draw, dosing regimen, concomitant medications, and demographics. Li-CL was calculated as a daily dose per trough concentration for each subject, and the mean of Li-CL/CLcr was used to estimate Li-CL for another 30 subjects. Serum lithium concentrations at the time of sampling were estimated by 1-compartment model with Li-CL, fixed distribution volume (0.79 L/kg), and absorption rate (1.5/hour) in the 30 subjects. Results One hundred thirty-one samples from 82 subjects (44 men; mean±standard deviation age: 51.4±16.0 years; body weight: 64.6±13.8 kg; serum creatinine: 0.78±0.20 mg/dL; dose of lithium: 680.2±289.1 mg/day) were used to develop the pharmacokinetic model. The mean±standard deviation (95% confidence interval) of absolute error was 0.13±0.09 (0.10–0.16) mEq/L. Discussion Serum concentrations of lithium can be predicted from oral dosage with high precision, using our prediction model.

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