ASME 2024 Fluids Engineering Division Summer Meeting collocated with the ASME 2024 Heat Transfer Summer Conference and the ASME 2024 18th International Conference on Energy Sustainability (FEDSM2024). Volume 4 : Computational Fluid Dynamics (CFDTC); Micr / Xiaohan Hu [and three others].

Format:

Book

Author/Creator:

Hu, Xiaohan, author.

Language:

English

Subjects (All):

Computer simulation--Congresses.

Computer simulation.

Physical Description:

1 online resource (12 pages)

Other Title:

ASME 2024 Fluids Engineering Division Summer Meeting collocated with the ASME 2024 Heat Transfer Summer Conference and the ASME 2024 18th International Conference on Energy Sustainability

Place of Publication:

Anaheim, California, USA : American Society of Mechanical Engineers, 2024.

Summary:

The conventional k- model accurately predicts the slope of the logarithmic law but falls short in estimating its intercept as well as the buffer layer. This limitation can be addressed either through a two-layer formulation or by introducing additional terms. However, both strategies necessitate extra adjustable constants and ad-hoc functions. In contrast, this paper introduces a novel one-layer k- model, which seamlessly integrates the law of the wall while preserving the essential structure of the k- framework. Our approach modifies the unclosed dissipation terms in the k and equations specifically within the wall layer. We invoke no other assumption than the general law of the wall and the assumptions that led to the k- model. Neither do we resort to ad hoc source terms. The revised model yields the following physical scalings in the viscous sublayer: k y2, y0. In addition, we demonstrate analytically the in-feasibility of sustaining the vt y3 scaling. Beyond the sublayer scalings, our model effectively captures the mean flow characteristics in both the buffer layer and the logarithmic layer, resulting in robust predictions of skin friction for zero-pressure-gradient flat-plate boundary layers and plane channels. To further validate our one-layer formulation, we apply our model to boundary layers under varying pressure gradients and channels experiencing sudden deceleration. Our modelś results closely align with the reference direct numerical simulation and experimental datasets.

Notes:

Description based on publisher supplied metadata and other sources.

Includes bibliographical references and index.