Masters Theses

Abstract

"The current study investigated the effect of novel organic/inorganic (hybrid) polyacrylamide polymer as ash (slimes) depressant in fine coal flotation for the possibility to enhance the combustible recovery and ash rejection. Raw coal samples contain about 25% of ash-forming minerals were crushed, grinded to -75um and floated in the presence of in-house synthesized hybrid Polyacrylamide (Al(OH)3-PAM or Al-PAM) at different operational parameters. Denver flotation cell with a 5-Liters capacity was used and the parameters investigated include: Al-PAM dosage, Al-PAM conditioning time, dual use of Al-PAM and a dispersant, impeller rotation speed and pulp's pH. For comparison purposes, commercially available polyacrylamide polymers (PAMs) were also tested.

Results show a significant improvement in both combustible recovery and ash rejection at 0.25 ppm Al-PAM dosage. Further improvement in ash reduction was achieved when flotation was performed using dual dispersant/Al-PAM system. At natural pH, the maximum combustible recovery and ash rejection were obtained at Al-PAM dosage of 0.25 ppm, dispersant dosage of 0.8 ppm, conditioning time of 6 minutes and impeller speed of 1800 rpm. Zeta potential values of both raw coal and concentrates samples showed a large shift to more positive zeta potential values after flotation which indicates a significant depression of ash-forming minerals (slimes) when Al-PAM polymer was used"--Abstract, page iii.

Advisor(s)

Alagha, Lana Z.

Committee Member(s)

Galecki, Greg
Asle Zaeem, Mohsen

Department(s)

Mining Engineering

Degree Name

M.S. in Mining Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2015

Pagination

xii, 100 pages

Note about bibliography

Includes bibliographical references (pages 96-99).

Rights

© 2015 Ontlametse Kenneth Molatlhegi, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Coal preparationFlotationCoalPolyacrylamideSlimes (Mining)

Thesis Number

T 10796

Electronic OCLC #

936208804

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