International Journal of Fluid Machinery and Systems
Online ISSN : 1882-9554
ISSN-L : 1882-9554
Original papers
A Performance Prediction Method of Open Channel Type Regenerative Blower
Chan LeeJae Hyun MaKyung Ho Chung
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2023 Volume 16 Issue 1 Pages 140-147

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Abstract
The present work propose a momentum exchange theory with new generalized pressure and leakage flow loss models for designing and predicting performance of open channel type regenerative blower. The pressure loss and leakage flow models are composed of related fluid mechanics correlation equations and generalized to consider the influence of the design variables and operating conditions of the blower. The prediction accuracy is verified by applying this performance prediction method to eight open channel type blower models, and the prediction and test results are very consistent within the entire flow capacity range.
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© 2023 Turbomachinery Society of Japan, Korean Fluid Machinery Association, Chinese Society of Engineering Thermophysics, IAHR
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