Fire Suppression CFD Analysis

Project Overview:

Conducted a CFD-based fire suppression analysis to study the sedimentation of retardant particles released from an aircraft during firefighting operations. The project focused on simulating particle dispersion, deposition, and ground concentration to optimize firefighting strategies.

Key Contributions:

• Developed a simulation model to analyze the sedimentation of fire retardant particles using overset mesh techniques.

• Simulated particle dispersion and deposition on the ground, ensuring accurate representation of real-world conditions.

• Created a Python script to convert sedimentation data from the post-processor into concentration values, enhancing data analysis efficiency.

• Played a pioneering role in testing and validating this newly developed feature in a real-world project.

Outcome :

• Delivered a robust simulation framework for fire suppression analysis, enabling better decision-making in firefighting operations.

• Demonstrated the effectiveness of CFD in optimizing fire retardant deployment and improving firefighting efficiency.

This project highlights expertise in CFD modeling, particle tracking, and programming, showcasing the ability to tackle complex aerospace challenges.

Tools : CRADLE CFD (scFLOW), Python

Gallery :

Note : The above image is for illustrative purposes only. The actual work executed is similar but cannot be showcased due to confidentiality.