contributor author | Tsukamoto, Kazuhiro | |
contributor author | Kato, Chisachi | |
date accessioned | 2025-04-21T10:08:35Z | |
date available | 2025-04-21T10:08:35Z | |
date copyright | 10/7/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 0889-504X | |
identifier other | turbo_147_2_021005.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4305584 | |
description abstract | To reduce the number of prototypes during product design and accurately predict unsteady phenomena occurring at off-design points, a method for accurately predicting the performance of centrifugal blowers through numerical analysis is required. This article presents a guideline for accurately predicting the performance of centrifugal blowers using compressible flow analysis with large eddy simulation (LES). In LES analysis, it is important to have a grid resolution that resolves the minimum vortex scale near the wall (referred to as wall-resolved LES) and to consider detailed geometry such as the length of the suction pipe. The calculations in this study used a model blower, which is a scale model of a single-stage centrifugal blower for use in industrial plants. The model blower was experimentally measured for various parameters such as the blower pressure coefficient, the static-pressure-rise coefficients of the impeller and vane-less diffuser, the shaft power, and the pressure fluctuations at the inlet of the impeller and the inlet of the vane-less diffuser. The results of these measurements were compared with those obtained from the wall-resolved LES. The study confirmed that the accuracy of performance prediction can be improved to less than a 4.0% error in the blower pressure coefficient at both design and off-design operating points by resolving the minimum vortex scale with 14.6 billion-grid elements and considering the detailed geometry. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Guideline for Large-Scale Analysis of Centrifugal Blower Using Wall-Resolved Large Eddy Simulation | |
type | Journal Paper | |
journal volume | 147 | |
journal issue | 2 | |
journal title | Journal of Turbomachinery | |
identifier doi | 10.1115/1.4066277 | |
journal fristpage | 21005-1 | |
journal lastpage | 21005-16 | |
page | 16 | |
tree | Journal of Turbomachinery:;2024:;volume( 147 ):;issue: 002 | |
contenttype | Fulltext | |