Atmospheric corrosion investigation of aluminium-coated, zinc-coated, and copper-bearing steel wire and wire products. A thirty-two year report. Von Beryle G. Seet und Thomas C. Britton, Jr. 63 Seiten, 53 Farbbilder. ASTM Data Series: DS 65, Revision von ASTM STP 585 A. ASTM Publication Code Number (PCN) 05-15950-02. ASTM Philadelphia, USA 1995, £ 46.-, ISBN 0-8031- 2064-8

Research studies that are conducted by both the Air Force Institute of Technology (AFIT) and other domestic and foreign organizations indicate that investigations of corrosion phenomena present a very important factor with respect to prolongation of technical resources and operation of aircraft driven by their actual technical condition. The investigation of the corrosion degree and deterioration of protective coatings must be carried out in a systemic manner with thorough analysis of information that bring together the aircraft operation and the processes of corrosion and deterioration of protective coatings. The investigation must comprise measurements of the atmospheric corrosion in order to determine corrosive aggressiveness of the atmosphere and establish frequency and scope of corrosion inspection. Only the analysis of gathered information with its characteristics may guarantee safe operation of structural components of aircrafts according to their actual technical condition. This paper outlines the approach to corrosion investigation that is in place in AFIT.

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Long-term prediction on atmospheric corrosion data series of carbon steel in China based on NGBM(1,1) model and genetic algorithm

Anti-Corrosion Methods and Materials ◽

10.1108/acmm-11-2017-1858 ◽

2019 ◽

Vol 66 (4) ◽

pp. 403-411 ◽

Cited By ~ 1

Author(s):

Yuanjie Zhi ◽

Dongmei Fu ◽

Tao Yang ◽

Dawei Zhang ◽

Xiaogang Li ◽

...

Keyword(s):

Genetic Algorithm ◽

Carbon Steel ◽

Atmospheric Corrosion ◽

Data Series ◽

Data Sets ◽

Content Type ◽

Term Prediction ◽

Long Term Prediction ◽

Corrosion Data

PurposeThis study aims to achieve long-term prediction on a specific monotonic data series of atmospheric corrosion rate vs time.Design/methodology/approachThis paper presents a new method, used to the collected corrosion data of carbon steel provided by the China Gateway to Corrosion and Protection, that combines non-linear gray Bernoulli model (NGBM(1,1) with genetic algorithm to attain the purpose of this study.FindingsResults of the experiments showed that the present study’s method is more accurate than other algorithms. In particular, the mean absolute percentage error (MAPE) and the root mean square error (RMSE) of the proposed method in data sets are 9.15 per cent and 1.23 µm/a, respectively. Furthermore, this study illustrates that model parameter can be used to evaluate the similarity of curve tendency between two carbon steel data sets.Originality/valueCorrosion data are part of a typical small-sample data set, and these also belong to a gray system because corrosion has a clear outcome and an uncertainly occurrence mechanism. In this work, a new gray forecast model was proposed to achieve the goal of long-term prediction of carbon steel in China.

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