Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25844
Title: Analytical simulation of the microbubble collapsing in a welding fusion pool
Authors: Teyeb, A
Salimi, M
El Masri, E
Balachandran, W
Gan, TH
Keywords: vibration assisted welding;power ultrasonic;cavitation
Issue Date: 1-Jan-2023
Publisher: MDPI
Citation: Teyeb, A. et al/. (2023) 'Analytical simulation of the microbubble collapsing in a welding fusion pool', Materials, 16 (1), 410, pp. 1 - 10. doi: 10.3390/ma16010410.
Abstract: Copyright © 2023 by the authors. This paper explains the use of remote ultrasound vibration at the optimum position and frequencies to vibrate plates under welding, with the aim of initiating cavitation in the molten pool area. It has been shown in the literature that ultrasound cavitation changes microstructure morphology and refines the grain of the weld. In practice, the plates are excited through narrow-band high-power ultrasound transducers (HPUTs). Therefore, a theoretical investigation is carried out to identify the plate-mode shapes due to the ultrasound vibration aligned with the frequency bandwidth of HPUTs available in the marketplace. The effect of exciting the plate at different locations and frequencies is studied to find the optimum position and frequencies to achieve the maximum pressure at the area of the fusion zone. It was shown that applying the excitation from the side of the plate produces an order of 103 higher vibration displacement amplitude, compared with excitation from the corner. The forced vibration of cavitation and bursting time are studied to identify vibration amplitude and the time required to generate and implode cavities, hence specifying the vibration-assisted welding time. Thus, the proposed computational platform enables efficient multiparametric analysis of cavitation, initiated by remote ultrasound excitation, in the molten pool under welding.
Description: Data Availability Statement: Not applicable.
URI: https://bura.brunel.ac.uk/handle/2438/25844
DOI: https://doi.org/10.3390/ma16010410
Other Identifiers: ORCID iDs: Ahmed Teyeb https://orcid.org/0000-0003-0300-1845; Mohamad Salimi https://orcid.org/0000-0001-9944-0863; Evelyne El Masri https://orcid.org/0000-0003-3241-5844; Wamadeva Balachandran https://orcid.org/0000-0002-4806-2257; Tat Hean Gan https://orcid.org/0000-0002-5598-8453.
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Appears in Collections:Brunel Innovation Centre

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