Optimizing Flotation Circuit Using a Model that Can Predict Both Grade and Recoveries
摘要
In 1905, Sulman and Picard received a U.S. patent to disclose a method of blowing air bubbles into a pulverized ore slurry to upgrade a mined ore. This process, known as dispersed air flotationFlotation, is simple, efficient, and cost-effective; therefore, it has been used to produce practically all metalsMetal humans use. Thus, flotationFlotation is regarded as the greatest single metallurgical improvement of the modern era. It is a kineticKinetics process in which bubbles and particles collide with each other to form thin liquid films between them. The films must rupture for air bubbles to collect target mineral particles (e.g., chalcopyriteChalcopyrite), forming finite contact angles (θ). In the present work, we used a simple Arrhenius-type rate equation that can predict the rate constants (k) for bubble-particle interactionsParticle interaction as functions of the surface forcesSurface forces in TLFs, which include the electrical double-layer, van der Waals, and hydrophobic forces. This new approach made it possible to predict both the gradesGrade and recoveriesRecovery under different operating conditionsOperating conditions. The modelModel has been validated versus a set of plant surveySurvey data obtained on a rougher flotationFlotation bank. Further, the modelModel suggests how one can improve coarse particlesCoarse particle recoveryRecovery and throughputThroughput by control of surface forcesSurface forces.