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• W3209589724 abstract "Acoustic levitation is considered one of the most effective noncontact particle manipulation methods, along with aerodynamic, ferromagnetic, and optical levitation techniques. It is not restricted by the material properties of the target. However, existing acoustic levitation techniques have some drawbacks that limit their potential applications. Therefore, in this article, an innovative approach is proposed to manipulate objects more intuitively and freely. By taking advantage of the transition periods between the acoustic pulse trains and electrical driving signals, acoustic traps can be created by switching the acoustic focal spots rapidly. Since the high-energy-density points are not formed simultaneously, the computation of the acoustic field distribution with complicated mutual interference can be eliminated. Therefore, compared to the existing approaches that created acoustic traps by solving pressure distributions using iterative methods, the proposed method simplifies the computation of time delay and makes it possible to be solved even with a microcontroller. In this work, three experiments have been demonstrated successfully to prove the capability of the proposed method including lifting a Styrofoam sphere, transportation of a single target, and suspending two objects. Besides, simulations of the distributions of acoustic pressure, radiation force, and Gor'kov potential were conducted to confirm the presence of acoustic traps in the scenarios of lifting one and two objects. The proposed tactic should be considered effective since the results of the practical experiments and simulations support each other." @default.
• W3209589724 created "2021-11-08" @default.
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• W3209589724 date "2022-02-01" @default.
• W3209589724 modified "2023-10-17" @default.
• W3209589724 title "Investigation of a Novel Acoustic Levitation Technique Using the Transition Period Between Acoustic Pulse Trains and Electrical Driving Signals" @default.
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• W3209589724 doi "https://doi.org/10.1109/tuffc.2021.3124278" @default.
• W3209589724 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34714744" @default.
• W3209589724 hasPublicationYear "2022" @default.
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