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Kinetics of flotation. Order of process, rate constant distribution and ultimate recovery

Autorzy
Bu X. , Xie G. , Peng Y. , Ge L. , Ni C.
Treść / Zawartość
Pełne teksty:
ppmp_2017_1_342_365.pdf
Identyfikatory
DOI
10.5277/ppmp170128
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Kinetic models can be used to characterize the flotation process. In this paper, three primary parameters, namely, distribution of flotation rate constant f(K), order of flotation process n and ultimate recovery R∞ are presented to perform analysis of flotation kinetics. The flotation rate constant f(K) is a function of both the size and hydrophobicity of particles. Though the more commonly used distributions are Delta function as well as Rectangular, Kelsall and Gamma models, there is no agreement in the literature as to which distribution function better characterize the floatability distribution. The first-order models can be used to describe most mineral flotation processes, while there is also evidence that the non-integral-order equation is capable of representing the kinetic characteristics of the batch flotation process. The order is lower than 1 in the initial moments of the flotation process. The solution of ultimate recovery calculated by the least squares method is greater than 100% (R∞ >100%). An empirical model was proposed to avoid the improper phenomenon in the solution of ultimate recovery, which can improve the availability and validity of kinetic models. Finally, more attention should be paid to the overfitting resulting from the increase in the number of parameters in the statistical analysis of kinetic models.
Słowa kluczowe
EN
Wydawca
Oficyna Wydawnicza Politechniki Wrocławskiej
Czasopismo
Physicochemical Problems of Mineral Processing
Rocznik
2017
Tom
Vol. 53, iss. 1
Strony
342--365
Opis fizyczny
Bibliogr. 105 poz., rys., tab.
Twórcy
autor
Bu X.
  • School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, PR China
  • Department of Chemical Engineering, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
autor
Xie G.
  • School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, PR China
autor
Peng Y.
  • School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, PR China
autor
Ge L.
  • Department of Chemical Engineering, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
autor
Ni C.
  • School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, PR China
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