In food engineering, tracking how flavor molecules escape thin oil layers is crucial for optimizing taste delivery. This project models a flavor particle escaping an oil film boundary layer.
Because real-world variables like particle size and oil viscosity change naturally, a single test isn't enough. This project wraps a Forward Euler ODE solver inside a Monte Carlo simulation to analyze how the starting distance affects overall escape times across 14,000 unique random trials.
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The Physics: A particle is pulled by a constant force (
$F_0$ ) while fighting an inverse-distance fluid drag force ($\propto 1/D$ ) near a solid wall.
- The Method: 1,000 random trials per distance tier using a Uniform Distribution for particle size and a Normal Distribution for fluid viscosity.
| File | Description |
|---|---|
monte_carlo_final.m |
Main script. Handles the random loops, runs the Euler physics engine, and outputs the final statistical |
Place monte_carlo_final.m in your MATLAB directory and run it from the Command Window:
>> monte_carlo_final