Thida, Worakirt
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Preferred name
Thida, Worakirt
Alternative Name
Thida, Worakrit
Main Affiliation
Email
worakrit.th@kmitl.ac.th
2 results
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Item type:Publication, Stokes to Hadamard-Rybczynski transition: an experimental investigation with argon bubbles rising in palm oil and a sigmoid integrated model for prediction(2025-10-01); A refined model is developed to describe the transition in bubble dynamics from the Stokes to the Hadamard-Rybczynski regime, incorporating Bond number-dependent switch terms for predictions across a wide range of Reynolds numbers. We conduct experiments on rising argon bubbles in palm oil and use the obtained data to validate the model. We also apply the proposed model to additional data deduced from related literature to demonstrate its applicability. The analysis emphasizes the role of tangential stress at the bubble surface, governed by fluid properties, bubble size, and experimental conditions, in driving the transition. This model enhances drag prediction for a given Reynolds number and is applicable in diverse industrial contexts, including bubble column design and oil recovery. It can also be integrated into numerical simulations for complex multiphase flow analysis, supporting future advancements in multiphase system modeling and applications. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Phase Speed Inversion for Shallow Water Bathymetry Mapping(2024-01-01); ;Voti, Roberto LiThis study explored the use of top-view movies of propagating gravity water waves to reconstruct the underwater bed profile of shallow water bodies. Water waves of 2.8 and 3.1 Hz were generated by a microcontroller-driven flat flap in a wave flume of dimensions 0.48 × 1.80 × 0.40 m<sup>3</sup>. Three different bed profiles, i.e., sloped, stepped, and split surfaces, were used to imitate typical seabeds near shorelines. Top-view movies of the propagating waves were recorded and converted to spatial phase-speed images via video analysis. The phase speed images can be used to reconstruct the underwater bed profile using the dispersion relation of linear water waves. We also proposed a demodulation method to correct the phase-speed alteration due to wave interference. The correction method helped improve the mean average percentage error for depth profile predictions from 15% to 10% for the sloped profile and from 45% to 15% for the stepped profile. However, the approach was inferior for the split profile due to wall effects and complex interference patterns. This study suggests the proposed approach can determine the depth level around shorelines using time-evolution or video data with an adequate accuracy of 10% with minimal interference.
