Fuzzy model for visual inspection of corroded ferrous-metal surfaces

Authors

  • Luis E. Calatayud TecNM/DEPI-Instituto Tecnológico de Tlalnepantla, Av. Constituyentes de 1917, Col. La Comunidad S/N. C.P. 54070. Apdo. Postal 750
  • Sandra Roblero TecNM/DEPI-Instituto Tecnológico de Tlalnepantla, Av. Constituyentes de 1917, Col. La Comunidad S/N. C.P. 54070. Apdo. Postal 750
  • J. Solís Romero TecNM/DEPI-Instituto Tecnológico de Tlalnepantla, Av. Constituyentes de 1917, Col. La Comunidad S/N. C.P. 54070. Apdo. Postal 750
  • Víctor A. Castellanos TecNM/DEPI-Instituto Tecnológico de Tlalnepantla, Av. Constituyentes de 1917, Col. La Comunidad S/N. C.P. 54070. Apdo. Postal 750
  • Mariana B. Castañeda TecNM/División de Ingeniería Química-Tecnológico de Estudios Superiores de Ecatepec, Av. Tecnológico S/N Col. Valle de Anáhuac, Ecatepec de Morelos, Estado de México, C.P. 55210

DOI:

https://doi.org/10.30973/progmat/2019.11.3/3

Keywords:

Fuzzy model, corrosion, visual inspection

Abstract

A fuzzy model was developed, aimed to assist in the diagnosis of metallic surfaces subjected to corrosive processes, such as pitting and/or galvanic corrosion. The macroscopic visual variables present in some corrosive phenomena were considered as the input parameters. Those variables were established based on ASTM specifications, ASM handbooks volume 13 y 13 A and, published papers. As a whole, in order to recognize up to five corrosive processes, five variables were selected as input parameters. The fuzzy model was validated taking into account engineering failure analysis research papers photographs and, positives results were obtained.

References

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Published

2019-10-31

How to Cite

Calatayud, L. E. ., Roblero, S., Solís Romero, J., Castellanos, V. A., & Castañeda, M. B. (2019). Fuzzy model for visual inspection of corroded ferrous-metal surfaces. Programación Matemática Y Software, 11(3), 32–44. https://doi.org/10.30973/progmat/2019.11.3/3

Issue

Vol. 11 No. 3 (2019): Octuber, 2019

Section

Articles

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