Authors:
Chan Lee
;
Hyun Gwon Kil
and
Jun Gon Kim
Affiliation:
University of Suwon, Korea, Republic of
Keyword(s):
Regenerative Blower, FANDAS-Regen Code, Optimization Algorithm, Low Noise.
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Energy and Power Systems
;
Simulation and Modeling
Abstract:
Low noise regenerative blower is designed by combining the FANDAS-Regen code and optimization technique. The FANDAS-Regen code used in the present study defines blower design variables on rotating impellers and fixed side channels, and then constructs the 3-D blower design geometry. Based on the designed blower geometry, the FANDAS-Regen code also analyzes the blower performance as well as noise characteristics by using momentum exchange theory coupled with pressure loss and leakage models and by incorporating the performance prediction results into discrete and broadband noise models. With the FANDAS-Regen code as a simulation engine, design optimization is conducted for impeller and side channel design variables to minimize overall sound pressure level of blower under the constraints of aerodynamic design requirements on pressure rise, efficiency and power consumption. Furthermore, for more noise reduction of blower, a staggered impeller blade arrangement as a phase-shift cancellat
ion design concept is also applied to the optimized impeller design. The optimized blower model is manufactured and tested by a chamber-type performance tester and narrow-band noise measurement apparatus. The performance measurement results agree well with the FANDAS-Regen prediction, and the noise measurement results show a remarkable noise reduction of 26 dBA through the present design optimization.
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