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Fan noise generated within shipboard heating, ventilation, and air conditioning (HVAC) ducts exhibit dominant narrowband low-frequency components, which are challenging to mitigate using conventional absorptive materials. This study proposes a metamaterial acoustic liner composed of Helmholtz resonator-based meta-atoms, each precisely tuned to target key tonal frequencies commonly found in fan noise (115Hz, 230Hz, 345Hz, and 460Hz). The meta-atoms were arranged into an array structure, and their acoustic performance was evaluated using finite element analysis. The results demonstrated notable transmission loss improvements, with each resonance achieving more than 10dB of attenuation over an effective control bandwidth of approximately 16Hz at 115Hz, 32Hz at 230Hz, 56Hz at 345Hz, and 35Hz at 460Hz. A peak transmission loss of nearly 90dB was observed at 115Hz. These results indicate that the proposed metamaterial liner offers both selective attenuation of tonal low-frequency noise and broader bandwidth control, making it a promising solution for noise reduction in ship HVAC systems.

Fan noise generated within shipboard heating, ventilation, and air conditioning (HVAC) ducts exhibit dominant narrowband low-frequency components, which are challenging to mitigate using conventional absorptive materials. This study proposes a metamaterial acoustic liner composed of Helmholtz resonator-based meta-atoms, each precisely tuned to target key tonal frequencies commonly found in fan noise (115Hz, 230Hz, 345Hz, and 460Hz). The meta-atoms were arranged into an array structure, and their acoustic performance was evaluated using finite element analysis. The results demonstrated notable transmission loss improvements, with each resonance achieving more than 10dB of attenuation over an effective control bandwidth of approximately 16Hz at 115Hz, 32Hz at 230Hz, 56Hz at 345Hz, and 35Hz at 460Hz. A peak transmission loss of nearly 90dB was observed at 115Hz. These results indicate that the proposed metamaterial liner offers both selective attenuation of tonal low-frequency noise and broader bandwidth control, making it a promising solution for noise reduction in ship HVAC systems.

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플라스틱 소재의 레이더 센서 보호 커버의 초음파 제빙을 위한 구동 조건 연구 = Study of the operating conditions of an ultrasonic de-icing system for plastic cover protecting radar sensors 노은식, 문원규, 신금재 p. 537-544
소음 반응으로서 ‘Annoyance’의 한국어 대응어 분석 = Analysis of Korean equivalents for ‘annoyance’ as noise response 박상희, 김경우, 정정호, 류종관, 김용희, 박현구 p. 545-558
기계학습용(ML) 진동 데이터 생성을 위한 유연 다물체동역학 기반 회전기기의 회전부 강성 이방성 기인 오정렬 결함 시뮬레이션 = Misalignment fault simulation in rotating machinery induced by stiffness anisotropy of rotational components based on flexible multibody dynamics for machine learning-oriented vibration data generation 박상진, 장대식, 이정한, 박진호 p. 559-567
선박용 공기조화 덕트용 헬름홀츠 공명기 기반 메타물질 음향 라이너 설계 = Design of helmhol[t]z resonator-based metamaterial acoustic liners for HVAC ducts of ships 구본헌, 원세정, 강병민, 함일배, 이종학, 김흥태, 임희창, 홍진숙 p. 568-575
오목 형상 음향공동의 전 주파수 대역 고정밀도 고유치 추출을 위한 두 영역 분할법 기반 무차원 동영향 함수법 = Two-domain decomposition-based NDIF method for full-frequency high-precision eigenvalue extraction of concave acoustic cavities. 1, Theoretical formulation and verification. 제1부, 이론 정립과 검증 강상욱 p. 576-582
기계학습 분류 모델 기반 군 소·대형화기 복합사격장 탄종별 소음 평가 방법 연구 = Machine learning-based classification model for noise assessment of ammunition types in combined military firing ranges 류훈재, 전형준, 정태량, 김득성, 장서일 p. 583-591

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