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New technologies for the localisation and characterisation of sound sources in woodworking machines

机译:木工机械中声源本地化和特征的新技术

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Approximately one third of European workers are exposed to harmful levels of noise for a quarter of their working time.Woodworking machines are one of the noisiest machine tools. In order to protect workers from physical agents at work, the European Parliament and the Council of the European Union have adopted the Directive 2003/10/EC on the minimum health and safety requirements regarding the exposure of workers to the risks arising from physical agents (noise). In order to develop low-noise woodworking machines, it is necessary to know the location of their dominant sound sources.In this paper new approaches are used to locate dominant machine assemblies by means of microphone arrays, such as beam forming or acoustic camera. The acoustic data, which is superimposed by the image of the woodworking machine,allows the localisation of sound source positions. On the basis of time data, it is possible to characterise each sound source time-and frequencydependently. Dominant noise sources in woodworking machines are primarily the fast rotating cutting tools in the area of suction hoods.The noise emission of such systems can be described by means of Computational Aero-acoustics(CAA).All aero-acoustic sources can be obtained from a complete CFD-solution (computational fluid dynamics).The numerical determination of aerodynamically generated noise and the potential of the above mentioned methods represent part of current research.
机译:大约三分之一的欧洲工人接触到他们的工作时间有害的噪音水平。木工机器是最嘈杂的机床之一。为了保护工作人员在工作中,欧洲议会和欧洲联盟理事会已通过关于卫生部最低健康和安全要求的指令,以及有关实物代理的风险(噪音)。为了开发低噪音木工机,有必要了解其主导声源的位置。本文采用新方法通过麦克风阵列(例如光束形成或声学相机)定​​位主机组件。被木工机的图像叠加的声学数据允许声源位置的定位。在时间数据的基础上,可以对每个声源时间和频率依赖性表征。木工机器中的主导噪声源主要是吸引罩区域的快速旋转切削刀具。这种系统的噪声发射可以通过计算航空声学(CAA)来描述。所有航空声源可以从a获得完整的CFD解决方案(计算流体动力学)。空气动力学噪声的数值确定和上述方法的潜力代表了当前研究的一部分。

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