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Can One 'Hear' the Aggregation State of a Granular System?

机译:可以“听到”粒度系统的聚合状态?

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If an ensemble of macroscopic particles is mechanically agitated the constant energy input is dissipated into the system by multiple inelastic collisions. As a result, the granular material can exhibit, depending on the magnitude of agitation, several physical states - like a gaseous phase for high energy input or a condensed state for low agitation. Here we introduce a new method for quantifying the acoustical response of the granular system. Our experimental system consists of a monodisperse packing of glass beads with a free upper surface, which is confined inside a cylindrical container. An electro-mechanical shaker exerts a sinusoidal vertical vibration at normalized accelerations well above the fluidization threshold for a monolayer of particles. By increasing the number of beads the granular gas suddenly collapses if a critical threshold is exceeded. The transition can be detected easily with a microphone connected to the soundcard of a PC. From the recorded audio track a FFT is calculated in real-time. Depending on either the number of particles at a fixed acceleration or the amount of energy input for a given number of particles, the resulting rattling noise exhibits a power spectrum with either the dominating (shaker) frequency plus higher harmonics for a granular crystal or a high-frequency broad-band noise for a granular gas, respectively. Our new method demonstrates that it is possible to quantify analytically the subjective audio impressions of a careful listener and thus to distinguish easily between different aggregation states of an excited granular system.
机译:如果机械搅拌宏观颗粒的集合,则通过多个无弹性碰撞将恒定能量输入散发到系统中。结果,根据搅拌的大小,粒状材料可以表现出,几种物理状态 - 类似用于高能量输入的气相或用于低搅拌的冷凝状态。在这里,我们介绍了一种用于量化粒度系统的声学响应的新方法。我们的实验系统包括具有自由上表面的玻璃珠的单分散填充,其限制在圆柱形容器内。电力机械振动器在正常化的加速度下施加正弦垂直振动,远高于流化阈值的单层颗粒。通过增加珠子的数量,如果超过临界阈值,颗粒气体突然坍塌。可以使用连接到PC的声卡的麦克风容易地检测到过渡。从录制的音频轨道,FFT实时计算。根据固定加速度的粒子的数量或给定数量的粒子的能量输入的数量,所得到的嘎嘎声噪声显示出具有主导(振动器)频率的功率谱,以及用于粒状晶体或高的高级谐波 - 分别用于粒状气体的宽带噪声。我们的新方法表明,可以分析对仔细监听器的主观音频印象来量化,从而可以轻松区分激发粒度系统的不同聚合状态。

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