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SEA 해석을 통한 대시 흡차음재 중량 저감 성능 연구
오현철(Hyuncheol Oh),박광서(Kwangseo Park),김영호(Youngho Kim),김인동(Indong Kim) 한국자동차공학회 2007 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper Statistical Energy Analysis has been considered to predict high frequency air borne interior noise. Dash panel Insulation is major part to reduce engine excitation noise. Transmission loss and absorption coefficient are considered to predict dash insulation performance. Transmission loss is derived from coupling loss factor and absorption coefficient is derived from internal damping loss factor. Material Biot properties were used to calculate each loss factors. Insulation geometry thickness distribution was hard to measure, so FEM pre/post software was used to calculate thickness map from CAD drawing. Each predicted transmission loss between conventional insulation and light weight insulation were compared with SEA. Transmission loss measurement was performed to validate each prediction result, and it showed good correlation between prediction and measurement. Finally interior noise prediction was performed and result showed light weight insulation system can reduce 40% weight to keep similar performance with conventional insulation system, even though light weight insulation system has lower sound transmission loss and higher absorption coefficient than conventional system.
김태민(Tae-Min Kim),김정태(Jeung-Tae Kim),김태희(Tae-Hee Kim),박인선(In-Sun Park),신동민(Dong-Min Sin) 한국소음진동공학회 2016 한국소음진동공학회 학술대회논문집 Vol.2016 No.4
공동주택 층간소음 문제를 해결하기 위한 많은 연구가 진행 중에 있으며 층간소음은 반드시 해결해야만 하는 사회적 문제이다. 본 연구에서는 공동주택의 층간소음을 저감하기 위한 연구의 일환으로서 통계적 에너지 해석 기법을 이용하고자 한다. 통계적 에너지 해석기법은 해석 대상을 별도의 sub-system으로 나눠서 에너지 평형식을 이용한 해석 방법으로서, sub-system의 modal density, internal loss factor and coupling loss factor가 중요한 변수로 작용한다. coupling loss factor 의 경우 실험적 방법을 이용한 변수 도출이 바람직한 방법이지만 실험적 한계가 존재하기 때문에 이론적 접근을 혼용하여 활용한다. 본 연구에서는 공동주택의 coupling loss factor를 이론적, 실험적으로 도출하여 통계적 에너지 해석기법을 이용한 층간소음 예측에 활용하고자 한다. 실험적 방법을 이용한 결과 모드 밀도가 충분하지 않은 저주파에서 이론식과 많은 오차가 발생하였으며 이를 보완하기 위한 연구를 추가적으로 진행할 예정이다.
동일 평면상에서 연성된 직사각형 평판의 진동파워흐름해석
박도현,홍석윤,길현권 한국소음진동공학회 1998 소음 진동 Vol.8 No.6
In this paper. the power flow analysis(PFA) method is applied to the prediction of the vibrational energy density and intensity of coupled co-planar plates. To cover the energy transmission and reflection at the joint of the plates. the wave transmission approach is Introduced with the assumption that all the incident waves are normal to the joint. By changing the frequency ranges and internal loss factors. we have obtained the reliable PFA results. and compared them with the analytical exact solutions.
SEA 기법을 이용한 저중량 흡, 차음재의 대시판넬 적용에 대한 연구
임효석(Hyosuk Lim),문홍준(Hongjoon Moon),박광서(Kwangseo Park),김영호(Youngho Kim) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this Paper Statistical Energy Analysis has been considered to predict high frequency air borne interior noise. Insulation thickness distribution map was calculated not by measurement, but by FeGate software. AutoSEA software predicted coupling loss factor from insertion loss which was measured by using Reiter Apamat Ⅱ machine and internal damping loss factor from reverberation time according to each thickness and material density. Each predicted transmission losses between conventional insulation and light weight insulation are compared with SEA. Finally light weigh insulation system has lower sound transmission loss and higher absorption coefficient than conventional system.
자동차용 흡.차음재의 성능분석을 위한 통계적 에너지 기법의 적용
이장명,이준,김대곤 한국소음진동공학회 2003 한국소음진동공학회 논문집 Vol.13 No.1
Interior parts of a vehicle are getting important to reduce interior noise. Therefore, prior analysis of cabin noise related with interior parts are necessary at first design stage. Recently, Statistical Energy Analysis(SEA) has been suggested as a possible way for high frequency range noise analysis of interior parts. The validity of noise analysis with SEA to interior parts has been preyed by comparing with experimental result, and the developed method with SEA has been applied in finding optimized interior parts package.