10 citations · 15 across the 4 of their papers we have counts for
5 papers
Physics-guided machine learning for saturation control across variable hydraulic conditions in heap leaching
Sultan Alhamdan, Daniel Navia, Paulina Quintanilla
Heap-leaching hydraulics vary between regions of an ore bed, motivating fast prediction models that accommodate different material properties. This study develops a parameter-condi…
From data to decisions: Bayesian modelling and global sensitivity analysis for flotation control
Paulina Quintanilla, Agustin Fuenzalida, Daniel Navia +1
This work presents a data-driven framework for interpretable modelling and decision support in flotation systems, integrating Gaussian Process (GP) regression with Global Sensitivi…
Digital twin with automatic disturbance detection for an expert-controlled SAG mill
Paulina Quintanilla, Francisco Fernández, Cristóbal Mancilla +2
This study presents the development and validation of a digital twin for a semi-autogenous grinding (SAG) mill controlled by an expert system. The digital twin integrates three key…
Experimental implementation of an economic model predictive control for froth flotation
Paulina Quintanilla, Daniel Navia, Stephen Neethling +1
We present the implementation of a novel economic model predictive control (E-MPC) strategy for froth flotation, the largest tonnage mineral separation process. A previously calibr…
Digital twin with automatic disturbance detection for real-time optimization of a semi-autogenous grinding (SAG) mill
Paulina Quintanilla, Francisco Fernández, Cristobal Mancilla +3
This work describes the development and validation of a digital twin for a semi-autogenous grinding (SAG) mill controlled by an expert system. The digital twin consists of three mo…