An evaluation analysis method for corrosion morphology characterization based on Gaussian filter

Peng Zhang; Bin Guo; Shu Kang Cheng

doi:10.1016/S1003-6326(10)60097-0

An evaluation analysis method for corrosion morphology characterization based on Gaussian filter

Peng Zhang^*
, Bin Guo
, Shu Kang Cheng

^*Corresponding author for this work

School of Materials Science and Engineering, Harbin Institute of Technology Weihai
Harbin Institute of Technology
Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The corrosion process of copper in thermal flow system was investigated through the experimental bench. According to surface variation of samples during corrosion process, the surface model of specimen was build up based on Gaussian filter. The results show that the corrosion characterization of copper in thermal flow system is pitting corrosion. The morphology characterizations of metal corrosion process can be described using the proposed surface model. The generation and development of copper pitting process can be observed clearly.

Original language	English
Pages (from-to)	s502-s506
Journal	Transactions of Nonferrous Metals Society of China (English Edition)
Volume	19
Issue number	SUPPL. 2
DOIs	https://doi.org/10.1016/S1003-6326(10)60097-0
State	Published - Sep 2009
Externally published	Yes

Keywords

Copper
Corrosion
Corrosion morphology
Gaussian filter

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10.1016/S1003-6326(10)60097-0

Cite this

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title = "An evaluation analysis method for corrosion morphology characterization based on Gaussian filter",

abstract = "The corrosion process of copper in thermal flow system was investigated through the experimental bench. According to surface variation of samples during corrosion process, the surface model of specimen was build up based on Gaussian filter. The results show that the corrosion characterization of copper in thermal flow system is pitting corrosion. The morphology characterizations of metal corrosion process can be described using the proposed surface model. The generation and development of copper pitting process can be observed clearly.",

keywords = "Copper, Corrosion, Corrosion morphology, Gaussian filter",

author = "Peng Zhang and Bin Guo and Cheng, \{Shu Kang\}",

year = "2009",

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T1 - An evaluation analysis method for corrosion morphology characterization based on Gaussian filter

AU - Zhang, Peng

AU - Guo, Bin

AU - Cheng, Shu Kang

PY - 2009/9

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N2 - The corrosion process of copper in thermal flow system was investigated through the experimental bench. According to surface variation of samples during corrosion process, the surface model of specimen was build up based on Gaussian filter. The results show that the corrosion characterization of copper in thermal flow system is pitting corrosion. The morphology characterizations of metal corrosion process can be described using the proposed surface model. The generation and development of copper pitting process can be observed clearly.

AB - The corrosion process of copper in thermal flow system was investigated through the experimental bench. According to surface variation of samples during corrosion process, the surface model of specimen was build up based on Gaussian filter. The results show that the corrosion characterization of copper in thermal flow system is pitting corrosion. The morphology characterizations of metal corrosion process can be described using the proposed surface model. The generation and development of copper pitting process can be observed clearly.

KW - Copper

KW - Corrosion

KW - Corrosion morphology

KW - Gaussian filter

UR - https://www.scopus.com/pages/publications/77955669076

U2 - 10.1016/S1003-6326(10)60097-0

DO - 10.1016/S1003-6326(10)60097-0

M3 - 文章

AN - SCOPUS:77955669076

SN - 1003-6326

VL - 19

SP - s502-s506

JO - Transactions of Nonferrous Metals Society of China (English Edition)

JF - Transactions of Nonferrous Metals Society of China (English Edition)

IS - SUPPL. 2

ER -

An evaluation analysis method for corrosion morphology characterization based on Gaussian filter

Abstract

Keywords

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