Research on dust control and ventilation parameter optimization in roadhead mining based on response surface methodology.

Underground roadhead mining creates a lot of respirable dust, which is a serious health risk and can affect safety. Controlling that dust depends heavily on how the auxiliary ventilation system is set up. This project helps you model and optimize ventilation settings to improve dust control in a simulated roadhead development face. We use computational fluid dynamics (CFD) together with Response Surface Methodology (RSM) to study how key variables—such as the distance of the forcing‑duct outlet, the exhaust ventilation rate, and the fan capacity—affect dust concentration. The goal is to build regression models that predict dust spread for different airflow configurations. By running many simulations, we perform multi‑objective optimization to

find the best combination of parameters that reduces dust buildup while still delivering enough fresh air. The guidance shows how ventilation parameters interact, providing a solid framework for designing safer underground work areas. The resulting data set can serve as a technical reference for applying optimized ventilation controls in active mines, helping meet occupational health standards.

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