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Development of engineering methods for structure-borne noise specification and quantification in aircraft and rotorcraft cabins

Development of engineering methods for structure-borne noise specification and quantification in aircraft and rotorcraft cabins
开发飞机和旋翼飞机机舱中结构噪声规范和量化的工程方法
批准号:
514874-2017
负责人:
Doutres, Olivier
金额:
$5.83万
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
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英文摘要
Aircraft and rotorcraft manufacturers integrate a high number of systems which are responsible for tonal vibrations such as (i) aircraft engines generating low frequency tonal components at Fan and Engines core rotor frequency, (ii) rotorcraft main rotor transmission generating structure-borne mid frequency tones at gear mesh frequencies, (iii) hydraulic system generating mid to high frequency tonal components and (iv) electric components generating high frequency harmonics. These vibrations propagate into the aircraft/rotorcraft structure and are transmitted to the interior trim panels that, in turn, radiate noise into the cabin. This noise, referred to as SBN, is known to be a major source of aircraft/rotorcraft interior noise that affects passengers comfort, increases crew member noise exposure level and decreases their communication ability. However, these annoying SBN could be mitigated if vibrating systems, receiving structures and interfaces between them were well specified and designed during the product development phase. The overall objective of this project is to develop and validate engineering methods for predicting SBN generated in aircraft/rotorcraft cabins by integrated vibrating systems. These methods will be based on existing SBN methods (i.e., Frequency Based Substructuring and Component-based TPA) which are not widely spread in the mechanical engineering community because they are difficult to apply in practice. The objective of this project is in consequence to investigate, extend and validate these methods specifically for aerospace integrated systems and structures focusing on the degree of complexity required for the targeted accuracy on the SBN prediction. The three industrial partners will be provided with an engineering tool together with the relevant methodologies and metrics dedicated to their SBN challenges. This knowledge toolbox will allow them a better engineering integration of SBN design challenges all along the product design cycle.
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