An Application of Statistical and Computer Techniques in Basic Mineral Processing Research
P. SOMASUNDARAN, Associate Professor, Mineral Engineering, Henry Krumb School of Mines, Columbia University, New York, N.Y. G. 0 . PRICKETT, Manager - Technical Systems, Duval Corporation, Tucson, Arizona
An application of the statistical and computer techniques in basic mineral processing research is illustrated by means of a case history involving the study of starch adsorption on calcite. Multi-factorial experimental designs and computer techniques were used for determining the effect of different system variables, such as solution pH, sodium oleate concentration and starch concentration, and to obtain a mathematical model of the response. Response maps enabled the investigators to see the effects clearly and to predict the results of changes in factor levels within the design region. Use of time-shared computers and plotters made data processing and analysis efficient and relatively inexpensive.
Adsorption, adsorption, calcite, pH, starch, Tucson, Arizona, Calcite, Computer, Computers, Design, Regression, Starch, test, Tests