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Ventilation Strategies to Control Aerosol Transmission in Classroom: A Numerical Study

Explore CFD simulation of classroom aerosol transmission. Review source evidence, methods and limitations for M.Tech research.

Explore CFD simulation of classroom aerosol transmission through a published research reference related to Pollution Control / Air Quality / Aerosol Dynamics. This M.Tech resource summarizes the available source and suggests questions to validate before choosing an implementation.

CFD simulation of classroom aerosol transmission: source and project details

Research overview

This guide helps M.Tech students set up a numerical study of indoor air quality and aerosol behavior. It follows a 2025 study that uses Computational Fluid Dynamics (CFD) to test five different ventilation setups in a classroom. The guide walks you through building three‑dimensional, time‑dependent simulations that run for 210 seconds. The simulations use an Unsteady Reynolds‑Averaged Navier‑Stokes (U‑RANS) method together with an RNG k‑epsilon turbulence model. To model how particles move with the air, the approach adds a Discrete Phase Model (DPM) that combines Eulerian and Lagrangian techniques. The numerical model is very accurate, showing only a 1.08 % relative error when compared with Duguid’s experimental data.

Students will study how changing ventilation designβ€”especially the Opening Area Ratio (OAR)β€”affects aerosol spread. The reference work found that an OAR of 1.16 % gave the best result, leaving just 101 of 4600 particles (1.2 %) inside the room. The resource also offers step‑by‑step help for setting up multiphase flow models, defining boundary conditions, and running parametric studies aimed at reducing airborne transmission in closed public spaces.

Reference Paper Ventilation Strategies to Control Aerosol Transmission in Classroom: A Numerical Study
Publication year (source record) 2025
Source document classification Research reference (type not independently verified)
Discovered via DOAJ metadata
Authors (source metadata) Luthfi Hakim, Wawan Aries Widodo, Sutardi Sutardi, Priyo Heru Adiwibowo, Thearith Yone
Publication type (source metadata) journal-article
Journal / conference (source metadata) E3S Web of Conferences
Publisher (source metadata) EDP Sciences
DOI (from source metadata) 10.1051/e3sconf/202564502010
Metadata consistency check DOI registration metadata compared with indexed record; original PDF text not independently verified.
Evidence reviewed by generator Indexed abstract/description only; original full text, author names in PDF and methods require editorial verification.
Domain Environmental Engineering
Sub-Domain Pollution Control / Air Quality / Aerosol Dynamics
Research source View research PDF
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Project or research direction

This is a source-backed research starting point, not a tested, ready-made student project. Any implementation requires independent feasibility, safety and results verification.

Possible tools or components to evaluate

CFD Software (ANSYS Fluent or OpenFOAM), CAD Modeling Tools, Post-Processing Visualization Software

Suggested verification steps

  1. Read the cited paper and check which methods, parameters and results it actually reports.
  2. Define a measurable project objective and list equipment or software you can access.
  3. Validate the proposed approach independently before claiming results, working code or experimental success.

Implementation ideas above are planning suggestions, not claims that the cited researchers built or tested those exact extensions.

Explore related M.Tech project topics or browse the engineering resource library for different methods and reference papers.

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