Depression of pyrite in polymetallic sulfide flotation using chitosan-grafted-polyacrylamide polymers

<p>“In this work, Chitosan-grafted-Polyacrylamides (Chi-g-PAMs) were studied, for the first time, as selective depressants of pyrite in the flotation of base metal sulfides. Fundamental studies of the adsorption behavior of Chi-g-PAM on model sulfide minerals indicated that Chi-g-PAM was more selective to pyrite’s surfaces as compared to base metal sulfides. Results suggested that the adsorption of Chi-g-PAM at pyrite-water interface was a chemisorption in nature which involved the amine, amide, and hydroxyl groups of Chi-g-PAM. Batch flotation studies of complex sulfide ore of Mississippi Valley Type (MVT) showed that Chi-g-PAM outperformed other pyrite’s depressants at producing less pyrite-diluted concentrates. Statistical optimization of the flotation process of MVT ore in relation to the structural characteristics of Chi-g-PAM (i.e., degree of deacetylation, weight ratio of chitosan: acrylamide, and dosage) showed that concentrates with least iron grade (3.06%) and recovery (15.33%) could be produced at 85g/t of Chi-g-PAM synthesized from chitosan of 95% degree of deacetylation and 1:4.5 chitosan: acrylamide weight ratio.</p><p>Moreover, two machine learning models including Artificial Neural Networks (ANN) and Random Forest (RF) were developed for the prediction of the flotation behavior of sulfide minerals from MVT ore in relation to Chi-g-PAM’s and pulp’s characteristics. Results suggested that the RF model is a reliable tool for the prediction of the flotation efficiency in polymetallic sulfide systems. </p><p>This research contributes to the advanced efforts to develop “smart and sustainable” processes for the flotation of sulfide minerals in industrial plants”--Abstract, page iii.</p>

Name thesis:degree_name

Ph. D. in Mining Engineering

Grantor

Missouri University of Science and Technology

Author dc:creator

• Monyake, Keitumetse Cathrine

• Chitosan-grafted-Polyacrylamide
• Froth flotation
• Machine learning
• Organic polymers
• Process optimization
• Pyrite depressants
• Mining Engineering

Repository record dc:identifier

https://scholarsmine.mst.edu/doctoral_dissertations/3155

OAI identifier oai:identifier

oai:scholarsmine.mst.edu:doctoral_dissertations-4160