Browsing Faculty of Engineering by Subject "Artificial neural network"

Now showing items 1-3 of 3

Hydrocyclone cut-size estimation using artificial neural networks

Van Loggenberg, S.; Van Schoor, G.; Uren, K.R.; Van der Merwe, A.F. (Elsevier, 2016)

The hydrocyclone is widely used throughout the mineral processing industry when working with slurries. It is either used for classifying, desliming or dewatering. Hydrocyclones are inexpensive, application-efficient and ...
Sample positioning in neutron diffraction experiments using a multi-material fiducial marker

Marais, D.; Venter, A.M.; Markgraaff, J.; James, J. (Elsevier, 2017)

An alternative sample positioning method is reported for use in conjunction with sample positioning and experiment planning software systems deployed on some neutron diffraction strain scanners. In this approach, the ...
Statistical modelling of an ammonium nitrate fluidised bed granulator for inference measurement

Kok, Rudolph L.; Van der Merwe, Abraham F.; Van Schoor, George; Uren, Kenny R. (Elsevier, 2019)

Fluidised bed granulation is a widely used wet granulation technique. The operation of a fluidised bed granulator (FBG) as well as the quality of the product is strongly influenced by multiple process variables and ...