Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data

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. In the first report, experiments for flow-accelerated corrosion (FAC) of carbon steel specimens were conducted and basic data of FAC...

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Autores principales:	Kimitoshi YONEDA, Kazutoshi FUJIWARA, Ryo MORITA, Fumio INADA
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2017
Materias:	pipe wall thinning flow-accelerated corrosion (fac) thinning rate mass transfer coefficient Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/486eca377ec84a88ab7d71cdb5ff6794
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spelling	oai:doaj.org-article:486eca377ec84a88ab7d71cdb5ff67942021-11-26T07:14:14ZDevelopment of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data2187-974510.1299/mej.17-00415https://doaj.org/article/486eca377ec84a88ab7d71cdb5ff67942017-12-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/5/1/5_17-00415/_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. In the first report, experiments for flow-accelerated corrosion (FAC) of carbon steel specimens were conducted and basic data of FAC rate were obtained by setting temperature from 50 to 150 ℃ and pH from 7.0 to 9.8 as main parameters. As this second report, the experimental data of FAC rate were compared with the prediction method. Effective mass transfer coefficient correlation was proposed and implemented into the prediction method considering combining effect of local average and turbulent velocity in the near-wall region calculated by computational fluid dynamics (CFD) simulation code. Fairly good agreement was confirmed between experimental and predicted FAC rate profile, quantitatively. Continuously, prediction method was applied to actual power plant piping systems, and some elbow components were chosen for evaluation in detail. Comparison of measured and predicted FAC rate also showed good agreement with data mostly evaluated conservatively in sense of maintenance management. As a whole, presented FAC prediction method including effective mass transfer coefficient was confirmed to predict measured FAC rate data of power plant pipe component with fairly good accuracy and reasonable conservatism, at least for the subjected temperature and pH conditions.Kimitoshi YONEDAKazutoshi FUJIWARARyo MORITAFumio INADAThe Japan Society of Mechanical Engineersarticlepipe wall thinningflow-accelerated corrosion (fac)thinning ratemass transfer coefficientMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 5, Iss 1, Pp 17-00415-17-00415 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	pipe wall thinning flow-accelerated corrosion (fac) thinning rate mass transfer coefficient Mechanical engineering and machinery TJ1-1570
spellingShingle	pipe wall thinning flow-accelerated corrosion (fac) thinning rate mass transfer coefficient Mechanical engineering and machinery TJ1-1570 Kimitoshi YONEDA Kazutoshi FUJIWARA Ryo MORITA Fumio INADA Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data
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. In the first report, experiments for flow-accelerated corrosion (FAC) of carbon steel specimens were conducted and basic data of FAC rate were obtained by setting temperature from 50 to 150 ℃ and pH from 7.0 to 9.8 as main parameters. As this second report, the experimental data of FAC rate were compared with the prediction method. Effective mass transfer coefficient correlation was proposed and implemented into the prediction method considering combining effect of local average and turbulent velocity in the near-wall region calculated by computational fluid dynamics (CFD) simulation code. Fairly good agreement was confirmed between experimental and predicted FAC rate profile, quantitatively. Continuously, prediction method was applied to actual power plant piping systems, and some elbow components were chosen for evaluation in detail. Comparison of measured and predicted FAC rate also showed good agreement with data mostly evaluated conservatively in sense of maintenance management. As a whole, presented FAC prediction method including effective mass transfer coefficient was confirmed to predict measured FAC rate data of power plant pipe component with fairly good accuracy and reasonable conservatism, at least for the subjected temperature and pH conditions.
format	article
author	Kimitoshi YONEDA Kazutoshi FUJIWARA Ryo MORITA Fumio INADA
author_facet	Kimitoshi YONEDA Kazutoshi FUJIWARA Ryo MORITA Fumio INADA
author_sort	Kimitoshi YONEDA
title	Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data
title_short	Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data
title_full	Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data
title_fullStr	Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data
title_full_unstemmed	Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data
title_sort	development of flow-accelerated corrosion prediction method (2) modeling and validation with thinning rate profile data
publisher	The Japan Society of Mechanical Engineers
publishDate	2017
url	https://doaj.org/article/486eca377ec84a88ab7d71cdb5ff6794
work_keys_str_mv	AT kimitoshiyoneda developmentofflowacceleratedcorrosionpredictionmethod2modelingandvalidationwiththinningrateprofiledata AT kazutoshifujiwara developmentofflowacceleratedcorrosionpredictionmethod2modelingandvalidationwiththinningrateprofiledata AT ryomorita developmentofflowacceleratedcorrosionpredictionmethod2modelingandvalidationwiththinningrateprofiledata AT fumioinada developmentofflowacceleratedcorrosionpredictionmethod2modelingandvalidationwiththinningrateprofiledata
_version_	1718409716422410240

Development of flow-accelerated corrosion prediction method (2) Modeling and validation with thinning rate profile data

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