Prediction of Hydrophobic Reagent for Flotation Process Using Molecular Modeling

Area of Science:

• Mineral processing
• Computational chemistry
• Surface science

Background:

• Understanding collector-mineral interactions is crucial for efficient mineral flotation.
• Optimizing collector properties requires knowledge of their interaction and valence energies with mineral surfaces.

Purpose of the Study:

• To simulate and analyze the interaction energies between organic ions, water molecules, and pure scheelite mineral (PSM) surfaces.
• To evaluate the effectiveness of computational methods (Forcite and adsorption locator) for selecting flotation reagents.

Main Methods:

• Simulations using an adsorption locator module on PSM surfaces (112) and (101) with four different negative ions.
• Calculations of interaction, cross-term, and valence energies for optimized structures.
• Comparison of simulation results with experimental data for mustard and sunflower soaps.

Main Results:

• Hydrophobic interactions and stable suspension over PSM surfaces were identified.
• Computational methods confirmed experimental findings, demonstrating cost-effectiveness in reagent selection.
• Mustard soap exhibited higher selectivity than sunflower soap on PSM surfaces.

Conclusions:

• Consistent valence force field (Forcite) and adsorption locator modules are valuable tools for cost-effective flotation reagent selection.
• Simulation methods accurately predict the hydrophobicity of ions and their interaction with mineral surfaces.
• Increasing the molecular weight of negative ions significantly enhances interaction energy with PSM surfaces, improving collector performance.