ポンプ用羽根車のスラリー摩耗深さ予測

Material type: 文書・図像類

Author: 杉山, 憲一ほか

Publisher: ターボ機械協会

Publication date: 2008-04

Material Format: Digital

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Note (General)：: Slurry wear with sand particles in rivers is a serious problem for pump operation. Therefore, a technique to predict wear, volume loss is required for...

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Ｕｎｉｖｅｒｓｉｔｙ　ｏｆ　Ｆｕｋｕｉ　Ａｃａｄｅｍｉｃ　Ｒｅｐｏｓｉｔｏｒｙ
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Material Type: 文書・図像類
Title: ポンプ用羽根車のスラリー摩耗深さ予測
Author/Editor: 杉山, 憲一
長坂, 浩志
榎本, 隆
服部, 修次
SUGIYAMA, Kenichi
NAGASAKA, Hiroshi
ENOMOTO, Takashi
HATTORI, Shuji
Author Heading: 杉山, 憲一
長坂, 浩志
榎本, 隆
服部, 修次
SUGIYAMA, Kenichi
NAGASAKA, Hiroshi
ENOMOTO, Takashi
HATTORI, Shuji
Publication, Distribution, etc.: ターボ機械協会
Publication Date: 2008-04
Publication Date (W3CDTF): 2008-04
Alternative Title: Prediction of Wear Depth Distribution by Slurry on a Pump Impeller
Periodical title: ターボ機械
No. or year of volume/issue: 36 4
Volume: 36
Issue: 4
Pages: 226-234
Text Language Code: jpn
Subject Heading: Pump
Impeller
Numerical analysis
Slurry wear
Life prediction
Target Audience: 一般
Note (General): Slurry wear with sand particles in rivers is a serious problem for pump operation. Therefore, a technique to predict wear, volume loss is required for selecting wear resistant material and determining specification of the maintenance period. This paper reports a method to predict the wear depth distribution on a blade of an impeller. Slurry wear test of an aluminum pump impeller were conducted. Prediction results of wear depth distribution approximately correspond with the results of slurry wear test. This technique is useful for industrial application.
Source: https://u-fukui.repo.nii.ac.jp/?action=repository_action_common_download&item_id=22543&item_no=1&attribute_id=22&file_no=1
https://u-fukui.repo.nii.ac.jp/?action=repository_action_common_download&item_id=22543&item_no=1&attribute_id=22&file_no=1
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ