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KINNARINEN T. TUUNILA R. HUHTANEN M. HÄKKINEN A. KEJÍK, P. SVĚRÁK, T.
Original Title
Prediction of pressure filtration characteristics of CaCO3 suspensions ground in a vertical stirred media mill
English Title
Type
journal article in Web of Science
Language
en
Original Abstract
Cake filtration is an important unit operation in the processing of minerals and pigments. The filtration characteristics are strongly dependent on the upstream processing of the ore, such as grinding parameters. This study aims at empirical investigation of the influence of key stirred media milling variables on the pressure filtration characteristics of calcium carbonate. Various regression models are presented and evaluated with respect to their statistical significance. The results show that all the grinding variables have a statistically significant influence on the average specific cake resistance, but the predictability of the models is not very good unless combined and polynomial terms are considered.
English abstract
Keywords
Grinding; Stirred media mill; Pressure filtration; Cake resistance; Regression modeling
RIV year
2015
Released
01.11.2015
ISBN
0892-6875
Periodical
MINERALS ENGINEERING
Year of study
83
Number
1
State
GB
Pages from
201
Pages to
204
Pages count
4
Documents
BibTex
@article{BUT117903, author="Pavel {Kejík} and Tomáš {Svěrák}", title="Prediction of pressure filtration characteristics of CaCO3 suspensions ground in a vertical stirred media mill", annote="Cake filtration is an important unit operation in the processing of minerals and pigments. The filtration characteristics are strongly dependent on the upstream processing of the ore, such as grinding parameters. This study aims at empirical investigation of the influence of key stirred media milling variables on the pressure filtration characteristics of calcium carbonate. Various regression models are presented and evaluated with respect to their statistical significance. The results show that all the grinding variables have a statistically significant influence on the average specific cake resistance, but the predictability of the models is not very good unless combined and polynomial terms are considered.", chapter="117903", doi="10.1016/j.mineng.2015.09.002", howpublished="print", number="1", volume="83", year="2015", month="november", pages="201--204", type="journal article in Web of Science" }