Evaluation of commercial suppressors of iron ore dust using wind tunnel and spectroscopy
Name: NATÁLIA DE AQUINO PORTELA MONCIOSO
Type: PhD thesis
Publication date: 27/06/2019
Advisor:
| Name |
Role |
|---|---|
| ELOI ALVES DA SILVA FILHO | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| CLEOCIR JOSÉ DALMASCHIO | Internal Examiner * |
| ELOI ALVES DA SILVA FILHO | Advisor * |
| EUSTAQUIO VINICIUS RIBEIRO DE CASTRO | Internal Examiner * |
| JÚLIA TRISTÃO DO CARMO ROCHA | External Examiner * |
| MARCUS VINICIUS LISBOA MOTTA | External Examiner * |
Pages
Summary: The emission of particulate matter from the iron ore stockpiles is one of the mining industry concerns. In addition to the possible environmental and health damages, iron ore being the raw material for the steelmaking process is the economic problem. Sprinkling of water-soluble dust suppressors is a method of reducing or eliminating dust emission from ore stockpiles. Ore dust suppressors are aqueous solutions, sprayed on the surface of ores, and there are several commercially available types used to eliminate or minimize emissions of fine particulate matter. In this thesis a methodology for evaluating the performance of commercial dust suppressors in iron ore stockpiles using the wind tunnel is studied. In addition, two performance prediction tests were proposed: for iron ore dust suppressors and for oil H2S scavengers using multivariate analysis of the infrared (IR) spectra in the middle region, considering that only 1 variable does not respond to predict the performance of the samples, and associating bands in the IR evidenced in the graph of the loadings. First, an efficiency to capture the sulfide in petroleum prediction test of H2S scavengers was conducted using principal component analysis on the IR spectra data in the middle region and pH of the scavengers samples with 84% accuracy. It has been found that nitrogenous and extreme pH scavengers have a tendency to capture a greater amount of sulfide in the petroleum. Subsequently, an efficiency prediction test of the ore dust suppressors was proposed using principals components analysis in the suppressor samples infrared spectra data in the middle region, WHERE it was possible to discriminate samples with potential dust suppression with 86% accuracy . The high performance suppressors showed the hydrophobicity index of the bands 2926/3300 cm-1 lower than 0.333. It was also verified that the performance of the suppressors does not correlate linearly with the surface tension, property of wettability, and that by the thermal analysis, do not contaminate the iron ore effectively.
