신경망이론을 적용한 엔진룸내의 냉각팬 소음 최적화 연구Noise Optimization of the Cooling Fan in an Engine Room by using Neural Network

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Axial fans are widely used in heavy machines due to their ability to produce high flow rate for cooling of engines. At the same time, the noise generated by these fans causes one of the most serious problems. This work is concerned with the low noise technique of discrete frequency noise. To calculate the unsteady resultant force over the fan blade in an unsymmetric engine room. Time-Marching Free-Wake Method is used. From the calculations of unsteady force on fan blades, noise signal of an engine cooling fan is calculated by using an acoustic similarity law. Noise optimization is obtained from Neural Network which is constructed based on the calculated flow rate and noise spectrum.
Publisher
한국소음진동공학회
Issue Date
2002-11-01
Language
KOR
Citation

2002년도 한국소음진동공학회 추계학술대회

URI
http://hdl.handle.net/10203/136987
Appears in Collection
AE-Conference Papers(학술회의논문)
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