The use of multivariate data analysis methods in corrosion monitoring data interpretation

Kari Saarinen, Irina Aho-Mantila, Turadj Miraftabi, Risto Ritala, Erkki Pulkkinen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The chlorine dioxide bleaching process is an environment where high corrosion resistivity is required of the construction materials. In order to follow the corrosion behaviour of process equipment construction materials and their weldments, corrosion monitoring systems were applied. The test material was the highly alloyed stainless steel UNS S31254 and its weldments. Corrosion potential measurements were used as the primary corrosion monitoring tool and the environmental parameters were obtained from the process automation system of the plant. The results obtained were analysed by using multivariate data analysis methods. The principal component analysis (PCA) projection method was used for process condition examinations. To determine quantitative relationships between process conditions and corrosion monitoring results, the projections to latent structures (PLS) method was used. The results showed that not only a few but many process variables affect the corrosiveness of the process solution. By using the PLS method we found that there is a clear correlation between the process conditions and the corrosion potential values. The production rate, factors related to the pulp pH and to the brightness values, among others, were significant variables when evaluating the corrosion behaviour of the highly alloyed stainless steel UNS S31254 and its weldments.
Original languageEnglish
Title of host publication10th International Symposium on Corrosion in the Pulp and Paper Industry, 10th ISCPPI. Vol. 1
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Pages257-268
ISBN (Electronic)951-38-5724-7
ISBN (Print)951-38-5720-4
Publication statusPublished - 2001
MoE publication typeA4 Article in a conference publication
Event10th International Symposium On corrosion in the Pulp and Paper Industry, ISCPPI - Helsinki, Finland
Duration: 21 Aug 200124 Aug 2001

Publication series

SeriesVTT Symposium
Number214
ISSN0357-9387

Conference

Conference10th International Symposium On corrosion in the Pulp and Paper Industry, ISCPPI
Abbreviated title10th ISCPPI
CountryFinland
CityHelsinki
Period21/08/0124/08/01

Fingerprint

Corrosion
Monitoring
Stainless Steel
Bleaching
Principal component analysis
Pulp
Luminance
Automation

Cite this

Saarinen, K., Aho-Mantila, I., Miraftabi, T., Ritala, R., & Pulkkinen, E. (2001). The use of multivariate data analysis methods in corrosion monitoring data interpretation. In 10th International Symposium on Corrosion in the Pulp and Paper Industry, 10th ISCPPI. Vol. 1 (pp. 257-268). Espoo: VTT Technical Research Centre of Finland. VTT Symposium, No. 214
Saarinen, Kari ; Aho-Mantila, Irina ; Miraftabi, Turadj ; Ritala, Risto ; Pulkkinen, Erkki. / The use of multivariate data analysis methods in corrosion monitoring data interpretation. 10th International Symposium on Corrosion in the Pulp and Paper Industry, 10th ISCPPI. Vol. 1. Espoo : VTT Technical Research Centre of Finland, 2001. pp. 257-268 (VTT Symposium; No. 214).
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abstract = "The chlorine dioxide bleaching process is an environment where high corrosion resistivity is required of the construction materials. In order to follow the corrosion behaviour of process equipment construction materials and their weldments, corrosion monitoring systems were applied. The test material was the highly alloyed stainless steel UNS S31254 and its weldments. Corrosion potential measurements were used as the primary corrosion monitoring tool and the environmental parameters were obtained from the process automation system of the plant. The results obtained were analysed by using multivariate data analysis methods. The principal component analysis (PCA) projection method was used for process condition examinations. To determine quantitative relationships between process conditions and corrosion monitoring results, the projections to latent structures (PLS) method was used. The results showed that not only a few but many process variables affect the corrosiveness of the process solution. By using the PLS method we found that there is a clear correlation between the process conditions and the corrosion potential values. The production rate, factors related to the pulp pH and to the brightness values, among others, were significant variables when evaluating the corrosion behaviour of the highly alloyed stainless steel UNS S31254 and its weldments.",
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Saarinen, K, Aho-Mantila, I, Miraftabi, T, Ritala, R & Pulkkinen, E 2001, The use of multivariate data analysis methods in corrosion monitoring data interpretation. in 10th International Symposium on Corrosion in the Pulp and Paper Industry, 10th ISCPPI. Vol. 1. VTT Technical Research Centre of Finland, Espoo, VTT Symposium, no. 214, pp. 257-268, 10th International Symposium On corrosion in the Pulp and Paper Industry, ISCPPI , Helsinki, Finland, 21/08/01.

The use of multivariate data analysis methods in corrosion monitoring data interpretation. / Saarinen, Kari; Aho-Mantila, Irina; Miraftabi, Turadj; Ritala, Risto; Pulkkinen, Erkki.

10th International Symposium on Corrosion in the Pulp and Paper Industry, 10th ISCPPI. Vol. 1. Espoo : VTT Technical Research Centre of Finland, 2001. p. 257-268 (VTT Symposium; No. 214).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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T1 - The use of multivariate data analysis methods in corrosion monitoring data interpretation

AU - Saarinen, Kari

AU - Aho-Mantila, Irina

AU - Miraftabi, Turadj

AU - Ritala, Risto

AU - Pulkkinen, Erkki

PY - 2001

Y1 - 2001

N2 - The chlorine dioxide bleaching process is an environment where high corrosion resistivity is required of the construction materials. In order to follow the corrosion behaviour of process equipment construction materials and their weldments, corrosion monitoring systems were applied. The test material was the highly alloyed stainless steel UNS S31254 and its weldments. Corrosion potential measurements were used as the primary corrosion monitoring tool and the environmental parameters were obtained from the process automation system of the plant. The results obtained were analysed by using multivariate data analysis methods. The principal component analysis (PCA) projection method was used for process condition examinations. To determine quantitative relationships between process conditions and corrosion monitoring results, the projections to latent structures (PLS) method was used. The results showed that not only a few but many process variables affect the corrosiveness of the process solution. By using the PLS method we found that there is a clear correlation between the process conditions and the corrosion potential values. The production rate, factors related to the pulp pH and to the brightness values, among others, were significant variables when evaluating the corrosion behaviour of the highly alloyed stainless steel UNS S31254 and its weldments.

AB - The chlorine dioxide bleaching process is an environment where high corrosion resistivity is required of the construction materials. In order to follow the corrosion behaviour of process equipment construction materials and their weldments, corrosion monitoring systems were applied. The test material was the highly alloyed stainless steel UNS S31254 and its weldments. Corrosion potential measurements were used as the primary corrosion monitoring tool and the environmental parameters were obtained from the process automation system of the plant. The results obtained were analysed by using multivariate data analysis methods. The principal component analysis (PCA) projection method was used for process condition examinations. To determine quantitative relationships between process conditions and corrosion monitoring results, the projections to latent structures (PLS) method was used. The results showed that not only a few but many process variables affect the corrosiveness of the process solution. By using the PLS method we found that there is a clear correlation between the process conditions and the corrosion potential values. The production rate, factors related to the pulp pH and to the brightness values, among others, were significant variables when evaluating the corrosion behaviour of the highly alloyed stainless steel UNS S31254 and its weldments.

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SN - 951-38-5720-4

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Saarinen K, Aho-Mantila I, Miraftabi T, Ritala R, Pulkkinen E. The use of multivariate data analysis methods in corrosion monitoring data interpretation. In 10th International Symposium on Corrosion in the Pulp and Paper Industry, 10th ISCPPI. Vol. 1. Espoo: VTT Technical Research Centre of Finland. 2001. p. 257-268. (VTT Symposium; No. 214).