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Session : acoustic Acoustic comfort optimization in a H175 helicopter

机译:会议:H175直升机的声学声学舒适度优化

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摘要

Airbus Helicopters, Inc. offers the most complete range of corporate helicopters. These rotorcrafts combine smooth rides and luxurious interiors with industry-leading safety and low noise signatures, ensuring that operations are neighbor-friendly wherever they are performed. The combination of aerodynamic, acoustic and mechanical noise sources however typically leads to a rich spectrum with potentially very loud and annoying broadband and tonal components especially inside the helicopter. Moreover, strong mechanical coupling and complex noise transmission paths in the helicopter render acoustic optimization a challenging task. To achieve improved cabin comfort and apply efficient noise treatments, it is essential to identify the dominant noise sources and treat them in the right order of priority. Thus, having a tool to easily locate and rank the most contributing panels and sources in the cabin would be extremely beneficial to support quiet helicopter design. Many works have already been published on such noise source separation technique and applications, especially in the automotive industry. Among available technologies, array techniques based on beamforming have been largely developed and used for interior noise analysis but rarely applied to interior aircraft or helicopter noise. This paper presents an interesting study carried out on a H175 helicopter and showing how the interior sound field is analyzed with an acoustic array technique. The tool used in this project has been recently developed by MicrodB and his partner Siemens. It is based on a double layer spherical array placed at the center of the cabin and is able to provide a 360 degree "acoustic image" of the sound field in the cabin. A unique combination of two spherical arrays allows to cover a broad frequency range: one rigid sphere containing 36 microphones distributed on its surface covers the mid and high frequencies, whereas a second larger diameter open sphere with 24 microphones handles the low frequency part. The acoustic array is connected to a portable LMS SCADAS measurement system and the LMS Test.Lab software is used to process the data. Sound source localization results can be readily obtained inflight after just a few seconds of measurements. Alternatively, the measurement system can be used autonomously to record the entire flight for different flight conditions and provide the source localization result at a later stage. As such, this is a revolutionary tool as it is extremely quick, is able to analyze transient phenomena and avoids lengthy and costly in-flight measurements as performed with traditional techniques like acoustic sound intensity measurement or holography. The combination of a dual spherical array and specific processing algorithms such as spherical beamforming and equivalent source method allows to extend the application range of beamforming and to successfully handle noise source identification in cavities. This technique has already proved its efficiency in non-reverberant environments such as automotive interior noise optimization in windtunnels. One challenge of the current project is to apply the technique to the helicopter cabin which is a more reverberant environment. Noise source analysis has been performed in the cabin of the H175 helicopter for various flight conditions and will be illustrated in the paper. It is interesting to see how the noise sources vary as a function of thrust or flight speed. Noise spectrum is analyzed in detail and dominant sources are identified in the cabin for most critical frequencies. Source contribution results will also be shown where sound power is obtained by integrating the acoustic intensity over selected emission areas. This efficient measurement technique allows to get clear indications on possible noise treatments in the cabin to reach improved acoustic comfort. Best practices for such array measurements as well as advantages and limits of this technique will be clearly explained. This study allows to confirm that such acoustic array technique is very well suited for helicopter interior noise analysis.
机译:空中客车直升机公司提供最齐全的公司直升机。这些旋翼飞机将平稳的行驶和豪华的内饰与业界领先的安全性和低噪音特征结合在一起,确保无论在何处进行操作,都对邻居友好。然而,空气动力,声学和机械噪声源的组合通常会导致频谱丰富,尤其是在直升机内部,频谱可能带有非常响亮且令人讨厌的宽带和音调成分。此外,直升机中强大的机械耦合和复杂的噪声传播路径使声学优化成为一项艰巨的任务。为了提高机舱舒适度并进行有效的噪音处理,必须确定主要的噪音源并按正确的优先顺序进行处理。因此,拥有一种工具来轻松定位机舱中贡献最大的面板和信号源并对其进行排名对于支持安静的直升机设计极为有益。关于这种噪声源分离技术和应用的许多著作已经发表,特别是在汽车工业中。在可用技术中,基于波束成形的阵列技术已经得到很大发展,并用于内部噪声分析,但很少应用于飞机或直升机内部噪声。本文介绍了在H175直升机上进行的一项有趣的研究,并展示了如何使用声学阵列技术分析内部声场。 MicrodB及其合作伙伴Siemens最近开发了该项目中使用的工具。它基于放置在机舱中心的双层球形阵列,并且能够提供机舱中声场的360度“声学图像”。两种球形阵列的独特组合可以覆盖很宽的频率范围:一个刚性球体,其表面分布有36个麦克风,覆盖中,高频,而第二个较大直径的开放球体具有24个麦克风,可处理低频部分。声学阵列连接到便携式LMS SCADAS测量系统,并且使用LMS Test.Lab软件处理数据。只需几秒钟的测量,即可在飞行中轻松获得声源定位结果。可替代地,该测量系统可以被自主地用于记录针对不同飞行条件的整个飞行,并在以后的阶段提供源定位结果。因此,这是一种革命性的工具,因为它非常快,能够分析瞬态现象,并且避免了使用传统技术(如声强测量或全息照相)执行的冗长而昂贵的飞行中测量。将双球面阵列与特定处理算法(例如球面波束成形和等效声源方法)相结合,可以扩展波束成形的应用范围,并成功处理腔体中的噪声源识别。该技术已经证明了其在非混响环境中的效率,例如风洞中的汽车内部噪声优化。当前项目的一个挑战是将这种技术应用到更为回旋的环境的直升机机舱中。在H175直升机的机舱中已针对各种飞行条件进行了噪声源分析,并将在本文中进行说明。有趣的是,噪声源是如何随推力或飞行速度变化的。详细分析了噪声频谱,并在机舱中确定了大多数关键频率的主要噪声源。通过对选定发射区域上的声强进行积分可获得声功率的地方,还将显示源贡献结果。这种有效的测量技术可以清晰地指示机舱中可能进行的噪音处理,以提高声学舒适度。此类阵列测量的最佳做法以及该技术的优点和局限性将得到明确说明。这项研究可以确认这种声学阵列技术非常适合直升机内部噪声分析。

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