BP-neural-network-based non-destructive determination method for characteristics of steel corrosion product

A BP neural network and neural network technology, applied in the field of predicting actual steel corrosion products, to achieve the effect of convenient data collection, reduced test cost and operation difficulty, and strong reliability

Inactive Publication Date: 2015-06-17
TIANJIN UNIV
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For the selection of the number of neurons in each layer, there is currently no mature theory for reference. The

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  • BP-neural-network-based non-destructive determination method for characteristics of steel corrosion product
  • BP-neural-network-based non-destructive determination method for characteristics of steel corrosion product
  • BP-neural-network-based non-destructive determination method for characteristics of steel corrosion product

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Embodiment Construction

[0050] The electrochemical experimental device includes a sample stage, a three-electrode system: a sample (working electrode), a reference electrode (SCE electrode), an auxiliary electrode (platinum electrode), and an electrochemical workstation. When the electrochemical test device is connected to the sample section, a traditional three-electrode system is used. The preparation of the working electrode includes the following steps: take a 1cm*1cm stainless steel mesh, stick it on one side with double-sided conductive adhesive, and mix a certain quality of mixed powder. Press in from the other side, and finally seal the edge with resin, so that the working surface is the sample plane of 1cm*1cm, and finally solder the wire on the conductive glue, and seal the welding place with resin. The auxiliary electrode is a platinum electrode, and the reference electrode is a saturated calomel electrode (SCE). τ / 2 is the potential when the reduction time is half of the total reduction t...

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Abstract

The invention relates to a BP-neural-network-based non-destructive determination method for characteristics of a steel corrosion product. The method comprises the following steps: (1) preparing pure-phase alpha-FeOOH and gamma-FeOOH; (2) preparing five or more samples of the mixtures prepared from alpha-FeOOH and gamma-FeOOH at different ratios; (3) manufacturing a working electrode used for electrochemical test; (4) mounting a three-electrode system comprising the working electrode, a counter electrode and a reference electrode, charging the working electrode with a constant current and detecting potential signals to obtain a chronopotentiometry V-T curve I; (5) drawing a standard curve to obtain two parameters Etau/2 and Qtau; and (6) determining a chronopotentiometry V-T curve II for a rusted sample, comparing the chronopotentiometry V-T curve II with the standard curve to obtain the rust layer characteristics of the rusted sample. By virtue of the method, the in-situ detection of the characteristics of the corrosion product is carried out without breaking the rust layers; the dependence on large-scale analysis and test instruments is avoided; the method can be applied to on-site detection of the corrosion product, research on the protection performance of the rust layers and research on the influence factors of atmospheric corrosion.

Description

technical field [0001] The invention belongs to the fields of material science and electrochemistry, and specifically relates to a method for nondestructively measuring characteristics of steel corrosion products based on BP neural network. Methods for predicting actual steel corrosion products. Background technique [0002] The traditional methods for determining the composition of corrosion products mainly include: X-ray powder diffraction, Fourier transform infrared spectroscopy, Raman spectroscopy, etc. These characterization methods belong to spectral analysis methods. X-ray powder diffraction is based on crystals. Diffraction characteristics of rays - the position, intensity and quantity of diffraction lines to identify the phase of crystalline substances, so this method is mainly aimed at crystalline substances, that is, only the position, intensity and quantity of diffraction lines can be used to analyze crystalline substances in corrosion products. phase, and canno...

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Application Information

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IPC IPC(8): G01N27/26
Inventor 高志明卢丽花夏大海修妍胡文彬刘永长
Owner TIANJIN UNIV
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