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2005•Journal of Logistical Engineering UniversityRequires access

FLUENT Used in Numerical Simulation of Air Pollution Diffusion

L. L. Ting

Open publisher page 3 citations

Abstract

This article presents the procedure of FLUENT solving the air pollution diffusion problem, including computational mesh generation, solver selection and parameters setup. Then, the setup method of boundary conditions and initial conditions , the convergence and numerical stability, and the post-processing of FLUENT have been presented. An example is given to verify the applicability of FLUENT solving air pollution diffusion problem. This article can be a reference for people doing the correlative work.

About this research paper

What this paper is about

This article presents the procedure of FLUENT solving the air pollution diffusion problem, including computational mesh generation, solver selection and parameters setup. Then, the setup method of boundary conditions and initial conditions , the convergence and numerical stability, and the post-processing of FLUENT have been presented. An example is given to verify the applicability of FLUENT solving air pollution diffusion problem. This article can be a reference for people doing the correlative work.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

This article presents the procedure of FLUENT solving the air pollution diffusion problem, including computational mesh generation, solver selection and parameters setup. Then, the setup method of boundary conditions and initial conditions , the convergence and numerical stability, and the post-processing of FLUENT have been presented. An example is given to verify the applicability of FLUENT solving air pollution diffusion problem. This article can be a reference for people doing the correlative work.

Key concepts: Fluent, Solver, Computer science, Computational fluid dynamics, Convergence (economics), Diffusion, Boundary value problem, Stability (learning theory)

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