Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition

A series of study is presented to develop a prediction method for pipe wall thinning in power plants in order to improve the maintenance management for piping system. As the first report, experiments for flow-accelerated corrosion (FAC) of carbon steel specimens were conducted and basic data were ob...

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Autores principales:	Kimitoshi YONEDA, Ryo MORITA, Kazutoshi FUJIWARA, Fumio INADA
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2016
Materias:	pipe wall thinning flow-accelerated corrosion thinning rate carbon steel low temperature Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/375b543141a84f2a851ee06aebab6bb0
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spelling	oai:doaj.org-article:375b543141a84f2a851ee06aebab6bb02021-11-26T06:35:12ZDevelopment of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition2187-974510.1299/mej.15-00232https://doaj.org/article/375b543141a84f2a851ee06aebab6bb02016-01-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/3/1/3_15-00232/_pdf/-char/enhttps://doaj.org/toc/2187-9745A series of study is presented to develop a prediction method for pipe wall thinning in power plants in order to improve the maintenance management for piping system. As the first report, experiments for flow-accelerated corrosion (FAC) of carbon steel specimens were conducted and basic data were obtained, focusing on relatively low temperature condition. FAC rate is seen to decrease by lowering temperature and the trend curve tends to remains to keep considerable level in lower temperature around 50 °C. Obtained data would mean that FAC susceptibility of pipeline in condensate demineralizer downstream and deaerator upstream in PWR plants is comparable. In terms of pH, a large drop in FAC rate is seen around pH 9.0 as in previous studies, and its ratio of pH 9.2 to pH 7.0 is approximately 1/10. This ratio fairly agrees with iron solubility in each pH condition at 150 °C while it is smaller in lower temperature condition, which may require additional effect related to pH and temperature to be considered to evaluate the FAC rate. The effect of iron contents on FAC rate is confirmed by referring to saturation solubility of iron. It is suggested that FAC may occur even when the iron concentration in the bulk water is in saturation level, which should be considered in the modelling process for FAC prediction.Kimitoshi YONEDARyo MORITAKazutoshi FUJIWARAFumio INADAThe Japan Society of Mechanical Engineersarticlepipe wall thinningflow-accelerated corrosionthinning ratecarbon steellow temperatureMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 3, Iss 1, Pp 15-00232-15-00232 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	pipe wall thinning flow-accelerated corrosion thinning rate carbon steel low temperature Mechanical engineering and machinery TJ1-1570
spellingShingle	pipe wall thinning flow-accelerated corrosion thinning rate carbon steel low temperature Mechanical engineering and machinery TJ1-1570 Kimitoshi YONEDA Ryo MORITA Kazutoshi FUJIWARA Fumio INADA Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition
description	A series of study is presented to develop a prediction method for pipe wall thinning in power plants in order to improve the maintenance management for piping system. As the first report, experiments for flow-accelerated corrosion (FAC) of carbon steel specimens were conducted and basic data were obtained, focusing on relatively low temperature condition. FAC rate is seen to decrease by lowering temperature and the trend curve tends to remains to keep considerable level in lower temperature around 50 °C. Obtained data would mean that FAC susceptibility of pipeline in condensate demineralizer downstream and deaerator upstream in PWR plants is comparable. In terms of pH, a large drop in FAC rate is seen around pH 9.0 as in previous studies, and its ratio of pH 9.2 to pH 7.0 is approximately 1/10. This ratio fairly agrees with iron solubility in each pH condition at 150 °C while it is smaller in lower temperature condition, which may require additional effect related to pH and temperature to be considered to evaluate the FAC rate. The effect of iron contents on FAC rate is confirmed by referring to saturation solubility of iron. It is suggested that FAC may occur even when the iron concentration in the bulk water is in saturation level, which should be considered in the modelling process for FAC prediction.
format	article
author	Kimitoshi YONEDA Ryo MORITA Kazutoshi FUJIWARA Fumio INADA
author_facet	Kimitoshi YONEDA Ryo MORITA Kazutoshi FUJIWARA Fumio INADA
author_sort	Kimitoshi YONEDA
title	Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition
title_short	Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition
title_full	Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition
title_fullStr	Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition
title_full_unstemmed	Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition
title_sort	development of flow-accelerated corrosion prediction method (1) acquisition of basic experimental data including low temperature condition
publisher	The Japan Society of Mechanical Engineers
publishDate	2016
url	https://doaj.org/article/375b543141a84f2a851ee06aebab6bb0
work_keys_str_mv	AT kimitoshiyoneda developmentofflowacceleratedcorrosionpredictionmethod1acquisitionofbasicexperimentaldataincludinglowtemperaturecondition AT ryomorita developmentofflowacceleratedcorrosionpredictionmethod1acquisitionofbasicexperimentaldataincludinglowtemperaturecondition AT kazutoshifujiwara developmentofflowacceleratedcorrosionpredictionmethod1acquisitionofbasicexperimentaldataincludinglowtemperaturecondition AT fumioinada developmentofflowacceleratedcorrosionpredictionmethod1acquisitionofbasicexperimentaldataincludinglowtemperaturecondition
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Development of flow-accelerated corrosion prediction method (1) Acquisition of basic experimental data including low temperature condition

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