Viscosity and density models for copper electrorefining electrolytes

Abstract

Abstract. Viscosity and density are highly important physicochemical properties of copper electrolyte since they affect the purity of cathode copper and energy consumption [1,2] affecting the mass and heat transfer conditions in the cell [3]. Increasing viscosity and density decreases the rate in which the anode slime falls to the bottom of the cell [4,5] and lowers the diffusion coefficient of cupric ion (DCu2+) [6]. Decreasing the falling rate of anode slime increases movement of the slime to other directions than downward [4,5]. If the anode slime ends up on the cathode, the impurities could entrap into coating [4]. Due to that the aim is to keep the viscosity and density sufficiently low [4]. According to the studies of Price and Davenport [3], Subbaiah and Das [2], Devochkin et al. [7] as well as Jarjoura et al. [8] increasing the concentration of copper, nickel and sulfuric acid increases both viscosity and density, while temperature decreases these properties. In addition, Price and Davenport [1] researched the effect of impurities arsenic and iron as well as Subbaiah and Das [2] the effect of iron, manganese and cobalt. All of these researchers found that those impurities increased both viscosity and density. The density and kinematic viscosity of copper electrorefining electrolytes have not been extensively researched under electrorefining conditions. The kinematic viscosity is also an important factor in the equation defining DCu2+ using a rotating disc electrode technique [6]. The errors in the viscosity values cause significant error to DCu2+. Thus, this work introduces mathematical models for the density and kinematic viscosity. The kinematic viscosity of the test electrolytes was measured with a Ubbelohde capillary viscometer from Schott-Geräte GmbH and the density with a glass tube oscillator DMA 40 Digital Density Meter from Anton Paar K. G. The temperature (50, 60, 70 °C) and electrolyte composition were used as variables. The composition variables investigated were copper (40, 50, 60 g/dm 3 ), nickel (0, 10, 20 g/dm 3 ) and sulfuric acid (130, 145, 160 g/dm 3 ) in all models, and additionally the effect of arsenic acid for the viscosity was studied (0, 15, 30 g/dm 3 ). The electrolytes used in these tests were prepared from CuSO4•5H2O (99-100 %), NiSO4•7H2O (99-100 %), H2SO4 (95-97 %) and arsenic acid (containing As 151700 mg/dm 3 , Bi 6.2 mg/dm 3 , Se 0.07 mg/dm 3 , Te 18.6 mg/dm 3 , Ag 0.2 mg/dm 3 , Cu 4794 mg/dm 3 , Ni 1688 mg/dm 3 , Pb 28.62 mg/dm 3 and Sb 3954 mg/dm 3 ). The results were normalized using known water values for viscosity as well as water and air values for the density. Based on these results the models for density (ρ, g/cm 3 ) and kinematic viscosity (ν, mm 2 /s) were designed, refined and analyzed using modeling and design tool MODDE, Equation 1 for density and 2 for kinematic viscosity: a Corresponding author: taina.kalliomaki@aalto.fi , 010 (2016)

Diffusion coefficient of cupric ion in a copper electrorefining electrolyte containing nickel and arsenic

“…5). The factors of Model L and LPD also showed that the impact of the viscosity value origin (Kalliomäki et al (2017) vs. Price and Davenport (1981)) had only a minor effect on the diffusion coefficient equation constructed. These results indicate that increasing concentrations of Cu, Ni, H2SO4 and As decreases the diffusion coefficient value, while an increase in temperature leads to a direct increase in DCu(II).…”

“…1), respectively. Calculation of the DCu(II) for Models K, M and L utilized the viscosities previously measured by Kalliomäki et al (2017) (Eq. 4) and Model LPD used the viscosities outlined by Price and Davenport (Price and Davenport, 1981).…”

“…The effects of the impurities on industrial copper electrorefining electrolytes have become increasingly important due to the use of increasingly impure ores (Forsén et al, 2017;Jafari et al, 2017;Kalliomäki et al, 2017). In particular, the level of arsenic within such processes has grown leading to higher levels of As incorporation in copper anodes (Moats et al, 2016).…”

“…Nonetheless, the original measured jlim values were used for determining the DCu(II) values of the reproduced runs and the industrial samples. The viscosity values used in the equations were calculated with a model previously published byKalliomäki et al (2017) (Eq. 4) and Model LPD used the viscosities outlined byPrice and Davenport (1981).…”

The effect of nodulation on the distribution of concentration and current density during copper electrolytic refining

“…The number of elements obtained after the refinement is 16767. The main parameters of the model are shown in Table 1, in which the density and viscosity of the electrolyte are given in the literature [8][9][10] . The geometric model was meshed and solved to analyze the concentration distribution in the model.…”