Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning

Hussam Alhussein; Ahmed S. Dalaq; Mohammed F. Daqaq

doi:10.1109/PowerMEMS59329.2023.10417082

Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning

Hussam Alhussein, Ahmed S. Dalaq, Mohammed F. Daqaq

Department of Bioengineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The emergence of flow micro-power generation has reignited the interest in researching galloping instability aiming to determine the shape of the bluff body that is most prone to galloping. In this work, we employ computational fluid dynamics in conjunction with machine learning to optimize the shape of the bluff body for energy harvesting in both steady-state and transient performance. We investigate a continuum shape that has straight frontal and dorsal faces with varying lengths, and side faces described by surfaces of different curvatures. The optimization study reveals that a curved-Trapezoidal bluff body with the highest side surface curvature and the frontal-To-dorsal ratio is the perfect shape for steady flow conditions. On the other hand, a square profile with the highest side surface curvature is the ideal choice for highly fluctuating flow conditions because of its shortest rise time.

Original language	English
Title of host publication	PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	151-154
Number of pages	4
ISBN (Electronic)	9798350344219
DOIs	https://doi.org/10.1109/PowerMEMS59329.2023.10417082
State	Published - 2023
Event	2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2023 - Abu Dhabi, United Arab Emirates Duration: 11 Dec 2023 → 14 Dec 2023

Publication series

Name	PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications

Conference

Conference	2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2023
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	11/12/23 → 14/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Artificial Intelligence
Energy Harvesting
Galloping

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Instrumentation

Access to Document

10.1109/PowerMEMS59329.2023.10417082

Cite this

Alhussein, H., Dalaq, A. S., & Daqaq, M. F. (2023). Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning. In PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (pp. 151-154). (PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PowerMEMS59329.2023.10417082

Alhussein, Hussam ; Dalaq, Ahmed S. ; Daqaq, Mohammed F. / Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning. PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 151-154 (PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications).

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abstract = "The emergence of flow micro-power generation has reignited the interest in researching galloping instability aiming to determine the shape of the bluff body that is most prone to galloping. In this work, we employ computational fluid dynamics in conjunction with machine learning to optimize the shape of the bluff body for energy harvesting in both steady-state and transient performance. We investigate a continuum shape that has straight frontal and dorsal faces with varying lengths, and side faces described by surfaces of different curvatures. The optimization study reveals that a curved-Trapezoidal bluff body with the highest side surface curvature and the frontal-To-dorsal ratio is the perfect shape for steady flow conditions. On the other hand, a square profile with the highest side surface curvature is the ideal choice for highly fluctuating flow conditions because of its shortest rise time.",

keywords = "Artificial Intelligence, Energy Harvesting, Galloping",

author = "Hussam Alhussein and Dalaq, {Ahmed S.} and Daqaq, {Mohammed F.}",

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Alhussein, H, Dalaq, AS & Daqaq, MF 2023, Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning. in PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications. PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, Institute of Electrical and Electronics Engineers Inc., pp. 151-154, 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2023, Abu Dhabi, United Arab Emirates, 11/12/23. https://doi.org/10.1109/PowerMEMS59329.2023.10417082

Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning. / Alhussein, Hussam; Dalaq, Ahmed S.; Daqaq, Mohammed F.
PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications. Institute of Electrical and Electronics Engineers Inc., 2023. p. 151-154 (PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Alhussein H, Dalaq AS, Daqaq MF. Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning. In PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications. Institute of Electrical and Electronics Engineers Inc. 2023. p. 151-154. (PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications). doi: 10.1109/PowerMEMS59329.2023.10417082

Optimizing Curved Bluff Bodies for Galloping Micro-Power Generators via Machine Learning

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this