Grinding circuit modeling and simulation of particle size control at Siilinjärvi concentrator

Phosphorus resources, their depletion and conservation, a review

“…There is, however, substantial scope for producing phosphate from current tailings (production residues) at mines and increasing P efficiency of beneficiation (Abdel-Aal, 2000; Sis and Chander, 2003;Abouzeid, 2008;Nanthakumar et al, 2009;Khoshjavan and Rezai, 2011;Mohammadkhani et al, 2011;Oliveira et al, 2011;Teague and Lollback, 2012;Al-Thyabat and Al Zoubi, 2012;Zhang and El-Shall, 2012;Bai et al, 2013), though it should be noted that improvements shown in laboratory settings may fail when implemented in commercial settings (Abouzeid, 2008). Particle size control in grinding operations may be conducive to improved P recovery from mined phosphate rock (Remes et al, 2010). Flotation is an important process in many mining and beneficiation operations and improvements therein may be conducive to the better P recoveries from mined phosphorites.…”

Grinding in Ball Mills: Modeling and Process Control

“…In order to obtain correct results usually a sufficiently large number of experiments should be carried out. Also, depending on the grinding circuit configuration and equipment, different sets of input and output variables can be used in the control design [8,33,40].…”

“…A control system incorporating disturbance observer and MPC is designed in [50]. Innovative control platforms are described in [43] and a comparison of multivariable PI, fuzzy and model predictive control is presented in [40]. A survey of adaptive control methods and their application to the grinding process is given in [34].…”

Optimal control of grinding mill circuit using model predictive static programming: A new nonlinear MPC paradigm

“…Model-based controllers such as model predictive control (MPC) provides significant advantages over PID when applied to grinding mill circuits [5,6,7,8]. The economic performance of PID control compared to nonlinear MPC when applied to a grinding mill circuit was evaluated by Wei and Craig [9] and results showed that nonlinear MPC (NMPC) can improve performance with respect to recovered mineral value in downstream flotation circuits.…”

“…Chen et al [3], Niemi et al [5], Pomerleau et al [6], Ramasamy et al [7], Remes et al [8], Apelt and Thornhill [11], Yang et al [12],Chen et al [14]. Because of the highly nonlinear nature of a grinding process, the use of NMPC with fundamental nonlinear models is more desireable.…”