Acoustodynamic mass determination: Accounting for inertial effects in acoustic levitation of granular materials

Morrell, Mia; Grier, David G.

doi:10.1103/physreve.108.064903

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…Nakahara and Smith [3] proposed an acoustic balance for measuring the mass of small objects. Morrell and Grier [20] proposed an acoustic dynamic mass determination method considering the particle inertia effect. Wang et al [2] proposed an acoustic weighing method and achieved mass measurements of multiple objects.…”

Section: Introductionmentioning

confidence: 99%

An acoustic weighing method based on oscillation signal and feature enhanced network

Wang,

Li,

Jiang

et al. 2024

Meas. Sci. Technol.

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Acoustic weighing is a promising method for non-contact mass measurement of tiny objects as it avoids contamination and contact losses. However, due to the highly nonlinear nature of the acoustic field, some parameters of the mechanism model of acoustic weighing cannot be accurately simulated, thereby reducing the accuracy of acoustic weighing. To improve the accuracy of acoustic weighing, we propose an acoustic weighing method based on oscillating signals and feature enhancement network. Firstly, to drive the object oscillation and collect oscillation data, an acoustic levitation-based data acquisition system is constructed. Then, to break the limitations of the mechanism model, a feature enhancement network named CNN-BiLSTM-SE is proposed, which directly establishes the correlation between oscillating signals and actual mass. Finally, these data are used to train and test the proposed network model, validating the effectiveness of the model. Experimental results show that the method achieves high accuracy in measuring object mass, following the actual measurements with remarkable consistency. In addition, our approach is also suitable for acoustic weighing of small and sensitive objects, opening up new perspective for the study and application of nonlinear acoustic systems.

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Section: Introductionmentioning

confidence: 99%