Volume 14 (2023)
Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Mineral Processing
Effects of operating parameters on time-dependent ash entrainment behaviour of a sample coal flotation

H. Paryad; H. Khoshdast; V. Shojaei

Volume 8, Issue 3 , July 2017, , Pages 337-357


  It is well-known that entrainment of particles into the froth is a key factor in the selectivity and performance of the flotation process, especially for fine particle recovery. Since flotation is a continuous process, in this work, the effects of operating parameters on the entrainment of ash materials ...  Read More

A new chart-independent method for fast identification of control level of industrial processes using continuous data

H. Khoshdast; M. Mahmoodabadi

Volume 8, Issue 2 , April 2017, , Pages 203-213


  A new method is developed for a fast identification of the stability situation of industrial processes. The proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. An indication ratio is then defined as the ratio of the maximum ...  Read More

A model for predicting dynamic frothability index of dual-frother blends

Hamid Khoshdast; Sasan Mirshekari; Arefeh Zahab-Nazouri

Volume 6, Issue 1 , January 2015, , Pages 119-124


  Dynamic frothability index (DFI) is a characteristic of any frother which presents useful information about frothing properties. The objective of this study is to introduce a prediction model for estimation of DFI value of dual-frother blends. Model uses the DFIs of frothers and mole ratio of weaker ...  Read More

A parametric model for predicting cut point of hydraulic classifiers

Hamid Khoshdast

Volume 5, Issue 1 , January 2014, , Pages 47-54


  A new parametric model was developed for predicting cut point of hydraulic classifiers. The model directly uses operating parameters including pulp flowrate, feed particle size characteristics, pulp solids content, solid density and particles retention time in the classification chamber and also covers ...  Read More