In this study,the dynamic characteristics of microscale floating bubbles near the vertical wall are studied.This occurrence is common in industrial and natural phenomena.Although many studies have been conducted on mi...In this study,the dynamic characteristics of microscale floating bubbles near the vertical wall are studied.This occurrence is common in industrial and natural phenomena.Although many studies have been conducted on microscale bubbles,few studies investigate floating bubbles with very small Reynolds number(Re)near the wall,which is the main research goal of this study.Therefore,this study establishes a model for the ascent of small-scale bubbles near a vertical wall using the interFoam solver in OpenFOAM.This study investigates the influences of diverse viscosity parameters,varying distances from the wall,and different gas flow rates on the terminal velocity,deformation,and motion trajectory of bubbles.The results reveal that as liquid viscosity increases,the Re of bubbles gradually decreases and reaches a minimum of 0.012,which is similar to the Re of micrometer-sized bubbles in water.The characteristics of the wall-induced force in the longitudinal direction are closely related to the changes in liquid viscosity.Under low-viscosity conditions,the induced lift is the principal form of action,whereas under high-viscosity conditions,it is primarily manifested as induced drag.展开更多
We evaluated the performance of OpenFOAMGPT(GPT for generative pretrained transformers),which includes rating multiple large-language models.Some of the present models efficiently manage different computational fluid ...We evaluated the performance of OpenFOAMGPT(GPT for generative pretrained transformers),which includes rating multiple large-language models.Some of the present models efficiently manage different computational fluid dynamics(CFD)tasks,such as adjusting boundary conditions,turbulence models,and solver configurations,although their token cost and stability vary.Locally deployed smaller models such as the QwQ-32B(Q4 KM quantized model)struggled with generating valid solver files for complex processes.Zero-shot prompts commonly fail in simulations with intricate settings,even for large models.Challenges with boundary conditions and solver keywords stress the need for expert supervision,indicating that further development is needed to fully automate specialized CFD simulations.展开更多
基金Supported by the National Natural Science Foundation of China(Grant No.52271319)the Jiangsu Funding Program for Excellent Postdoctoral Talent,and the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(Grant No.GZC20240618)the Natural Science Foundation of Jiangsu Province of China(BK20231525).
文摘In this study,the dynamic characteristics of microscale floating bubbles near the vertical wall are studied.This occurrence is common in industrial and natural phenomena.Although many studies have been conducted on microscale bubbles,few studies investigate floating bubbles with very small Reynolds number(Re)near the wall,which is the main research goal of this study.Therefore,this study establishes a model for the ascent of small-scale bubbles near a vertical wall using the interFoam solver in OpenFOAM.This study investigates the influences of diverse viscosity parameters,varying distances from the wall,and different gas flow rates on the terminal velocity,deformation,and motion trajectory of bubbles.The results reveal that as liquid viscosity increases,the Re of bubbles gradually decreases and reaches a minimum of 0.012,which is similar to the Re of micrometer-sized bubbles in water.The characteristics of the wall-induced force in the longitudinal direction are closely related to the changes in liquid viscosity.Under low-viscosity conditions,the induced lift is the principal form of action,whereas under high-viscosity conditions,it is primarily manifested as induced drag.
基金supported by the Royal Society(Grant No.RG\R1\251236)the Fundamental Research Funds for the Central Universities of China(Grant No.JKF-2025055317102).
文摘We evaluated the performance of OpenFOAMGPT(GPT for generative pretrained transformers),which includes rating multiple large-language models.Some of the present models efficiently manage different computational fluid dynamics(CFD)tasks,such as adjusting boundary conditions,turbulence models,and solver configurations,although their token cost and stability vary.Locally deployed smaller models such as the QwQ-32B(Q4 KM quantized model)struggled with generating valid solver files for complex processes.Zero-shot prompts commonly fail in simulations with intricate settings,even for large models.Challenges with boundary conditions and solver keywords stress the need for expert supervision,indicating that further development is needed to fully automate specialized CFD simulations.
