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Huygens-Fresnel Acoustic Interference and the Development of Robust Time-Averaged Patterns from Traveling Surface Acoustic Waves.
Devendran, Citsabehsan; Collins, David J; Ai, Ye; Neild, Adrian.
Afiliação
  • Devendran C; Laboratory for Micro Systems, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne 3800, Victoria, Australia.
  • Collins DJ; Pillar of Engineering Product Development, Singapore University of Technology and Design, Singapore 487372, Singapore.
  • Ai Y; Pillar of Engineering Product Development, Singapore University of Technology and Design, Singapore 487372, Singapore.
  • Neild A; Laboratory for Micro Systems, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne 3800, Victoria, Australia.
Phys Rev Lett ; 118(15): 154501, 2017 Apr 14.
Article em En | MEDLINE | ID: mdl-28452526
Periodic pattern generation using time-averaged acoustic forces conventionally requires the intersection of counterpropagating wave fields, where suspended micro-objects in a microfluidic system collect along force potential minimizing nodal or antinodal lines. Whereas this effect typically requires either multiple transducer elements or whole channel resonance, we report the generation of scalable periodic patterning positions without either of these conditions. A single propagating surface acoustic wave interacts with the proximal channel wall to produce a knife-edge effect according to the Huygens-Fresnel principle, where these cylindrically propagating waves interfere with classical wave fronts emanating from the substrate. We simulate these conditions and describe a model that accurately predicts the lateral spacing of these positions in a robust and novel approach to acoustic patterning.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Austrália