Browsing Faculty of Engineering by Subject "WHIMS"
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A predictive model for a Wet-high-intensity-magnetic-separator (WHIMS) using artificial neural networks
(EARET, 2018)—Materials can be classified into three major categories based on the magnetic susceptibility thereof; the property governing the response of the material subjected to a magnetic field. Chromium has many uses in the ...