Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

Acoustic waves (AW) have recently emerged as an energy‐efficient ice‐removal procedure compatible with functional and industrial‐relevant substrates. However, critical aspects at fundamental and experimental levels have yet to be disclosed to optimize their operational conditions. Identifying the processes and mechanisms by which different types of AWs induce de‐icing are some of these issues. Herein, using model LiNbO 3 systems and two types of interdigitated transducers, the e‐icing and anti‐icing efficiencies and mechanisms driven by Rayleigh surface acoustic waves (R‐SAW) and Lamb waves with 120 and 510 μm wavelengths, respectively, are analyzed. Through the experimental analysis of de‐icing and active anti‐icing processes and the finite element simulation of the AW generation, propagation, and interaction with small ice aggregates, it is disclosed that Lamb waves are more favorable than R‐SAWs to induce de‐icing and/or prevent the freezing of small ice droplets. Prospects for applications of this study are supported by proof of concept experiments, including de‐icing in an icing wind tunnel, demonstrating that Lamb waves can efficiently remove ice layers covering large LN substrates. Results indicate that the de‐icing mechanism may differ for Lamb waves or R‐SAWs and that the wavelength must be considered as an important parameter for controlling the efficiency.

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Publication Details

Journal
Advanced Engineering Materials
Published
2024-12-11
DOI
https://doi.org/10.1002/adem.202401820
Citations
7
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
9.09

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article

Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

Agustín R. González‐Elipe, Ana Borrás, Jorge Gil‐Rostra, Andreas Winkler et al.
7 citations
Advanced Engineering Materials
Icing and De-icing Technologies
9.09
article

Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

Agustín R. González‐Elipe, Ana Borrás, Jorge Gil‐Rostra, Andreas Winkler, Niklas Kandelin, Stefan Jacob, A. Karimzadeh, Heli Koivuluoto, Jaime del Moral, L.A. Angurel, Víctor Rico, Laura Montes, Carmen López‐Santos, Shilpi Pandey, Raul Kanter, Alejandro Frechilla
article en
7 citations

Abstract

Acoustic waves (AW) have recently emerged as an energy‐efficient ice‐removal procedure compatible with functional and industrial‐relevant substrates. However, critical aspects at fundamental and experimental levels have yet to be disclosed to optimize their operational conditions. Identifying the processes and mechanisms by which different types of AWs induce de‐icing are some of these issues. Herein, using model LiNbO 3 systems and two types of interdigitated transducers, the e‐icing and anti‐icing efficiencies and mechanisms driven by Rayleigh surface acoustic waves (R‐SAW) and Lamb waves with 120 and 510 μm wavelengths, respectively, are analyzed. Through the experimental analysis of de‐icing and active anti‐icing processes and the finite element simulation of the AW generation, propagation, and interaction with small ice aggregates, it is disclosed that Lamb waves are more favorable than R‐SAWs to induce de‐icing and/or prevent the freezing of small ice droplets. Prospects for applications of this study are supported by proof of concept experiments, including de‐icing in an icing wind tunnel, demonstrating that Lamb waves can efficiently remove ice layers covering large LN substrates. Results indicate that the de‐icing mechanism may differ for Lamb waves or R‐SAWs and that the wavelength must be considered as an important parameter for controlling the efficiency.

Advanced Engineering MaterialsVol. 27(13)
Physikalisch-Technische Bundesanstalt (DE), Consejo Superior de Investigaciones Científicas (ES), Tampere University (FI), Universidad de Zaragoza (ES), Leibniz Institute for Solid State and Materials Research (DE), Instituto de Ciencia de Materiales de Sevilla (ES), Instituto de Nanociencia y Materiales de Aragón (ES), Technical University of Munich (DE)
Universidad de Sevilla, Horizon 2020 Framework Programme, European Regional Development Fund, Agencia Estatal de Investigación, H2020 Future and Emerging Technologies
Affordable and clean energy
Openalex Percentile: Top 3%
Icing and De-icing Technologies
9.09
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