Nozzle model for equivalently simulating the dynamic characteristics of human exhalation clouds DOI
Tiantian Wang, Hang Zhang, Fangcheng Shi

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

Current airway models for simulating human expiratory cloud diffusion face challenges due to numerous difficult-to-define entry boundaries and unverified simplifications, potentially leading inaccurate simulations of dynamic characteristics exhaled clouds. To address this challenge, a nozzle geometry boundary structure is designed with inclined channels main channel containing an internal obstacle. The primarily affect the vertical velocity cloud, while obstacle in influences vortices, thereby impacting exhalation cloud. effects angle channels, length, width on four key parameters characterizing dispersion: penetration distance, area, upper angle, lower are assessed study. Bayesian optimization was employed based results involving various structures. Optimization indicated that 63.3 degrees, dimensions 2.8 mm width, 5.2 length yielded minimal deviation. Numerical using these optimized closely matched captured by Schlieren, average deviation within 8%, effectively model offers reliable conditions numerical exhalation, minimizing discrepancies between experimental results.

Язык: Английский

Nozzle model for equivalently simulating the dynamic characteristics of human exhalation clouds DOI
Tiantian Wang, Hang Zhang, Fangcheng Shi

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

Current airway models for simulating human expiratory cloud diffusion face challenges due to numerous difficult-to-define entry boundaries and unverified simplifications, potentially leading inaccurate simulations of dynamic characteristics exhaled clouds. To address this challenge, a nozzle geometry boundary structure is designed with inclined channels main channel containing an internal obstacle. The primarily affect the vertical velocity cloud, while obstacle in influences vortices, thereby impacting exhalation cloud. effects angle channels, length, width on four key parameters characterizing dispersion: penetration distance, area, upper angle, lower are assessed study. Bayesian optimization was employed based results involving various structures. Optimization indicated that 63.3 degrees, dimensions 2.8 mm width, 5.2 length yielded minimal deviation. Numerical using these optimized closely matched captured by Schlieren, average deviation within 8%, effectively model offers reliable conditions numerical exhalation, minimizing discrepancies between experimental results.

Язык: Английский

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