Simulation Explains How A Sneezing Person in an Airplane Can Make You Sick

Simulation Explains How A Sneezing Person in an Airplane Can Make You Sick
One of the leading commercially available simulation software from ANSYS helps in determining the fluid flow behavior for various engineering applications. Engineers utilize these simulation tools to optimize aircraft wings for optimum lift and drag in the air, or improve the performance by reducing aircraft weight.

However, the ability to predict the air flow through aerodynamic analysis is also helpful in determining the spread of flu in a contained space. A recent video posted by Popular Science in collaboration with ANSYS, reveals one such simulation performed for a typical aircraft cabin and shows why it is better to sit far away from a passenger who is sick and sneezing.

The video shows how influenza particles can travel in a pressurized airplane cabin performed using simulation software from ANSYS. The colored particles are meant to show how the stuff spreads inside the cabin. “Those droplets get picked up by the airflow and get transplanted all over the cabin. They actually spread quite far,” says Robert Harwood, aerospace and defense industry director for ANSYS.

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Author Mehul Patel

About Author: Mehul Patel specializes in handling CFD projects for Automobile, Aerospace, Oil and Gas and building HVAC sectors. He works as a CFD consultant with Hi-Tech CFD for the past 5 years and has successfully executed numerous CFD projects of high complexities. He is an expert in turbo-machinery, gas dynamics, Combustion, Fluid Dynamics, multiphase flow analysis, computational fluid dynamics etc. Mehul is comes forth as a very simple and warm person. Clarity of thought and a willingness to share knowledge makes him a great team player. He is a voracious reader, and is always keen to upgrade and update himself with the latest CFD software tools and other developments. He is very observant and this quality combined with CFD expertise, helps him detect and mitigate design flaws for improved product performance.