Taina Kalliomäki

Ms. Taina Kalliomäki


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2017 in International Journal of Mineral Processing
Verified
Journal Article
Closed access
SJshila Jafari
shila Jafari
MKMikko Kiviluoma
Mikko Kiviluoma
TKTaina Kalliomäki
Taina Kalliomäki
EKElisabeth Klindtworth
Elisabeth Klindtworth
AAArif Aji
Arif Aji
MLMari Lundström
Mari Lundström

1 April 2019 in Minerals Engineering
Verified
Journal Article
Closed access
TKTaina Kalliomäki
Taina Kalliomäki
Benjamin WilsonBenjamin Wilson
Benjamin Wilson
JAJari Aromaa
Jari Aromaa
MLMari Lundström
Mari Lundström

24 June 2016 in Minerals
Verified
Journal Article
Open access
PDF file
TKTaina Kalliomäki
Taina Kalliomäki
Jari AromaaJari Aromaa
Jari Aromaa
MLMari Lundström
Mari Lundström
The physico-chemical properties of the copper electrolyte significantly affect the energy consumption of the electrorefining process and the quality of the cathode product. Favorable conditions for electrorefining processes are typically achieved by keeping both the electrolyte conductivity and diffusion coefficient of Cu(II) high, while ensuring low electrolyte viscosity. In this work the conductivity of the copper electrorefining electrolyte was investigated as a function of temperature (50–70 °C) and concentrations of copper (Cu(II), 40–60 g/L), nickel (Ni(II), 0–20 g/L), arsenic (As(III), 0–30 g/L) and sulfuric acid (160–220 g/L). In total 165 different combinations of these factors were studied. The results were treated using factorial analysis, and as a result, four electrolyte conductivity models were built up. Models were constructed both with and without arsenic as the presence of As(III) appeared to cause non-linearity in some factor effects and thus impacted the conductivity in more complex ways than previously detailed in literature. In all models the combined effect of factors was shown to be minor when compared to the effect of single factors. Conductivity was shown to increase when copper, nickel and arsenic concentrations were decreased and increase with increased temperature and acidity. Moreover, the arsenic concentration was shown to decrease the level of conductivity more than previously suggested in the literature.


29 September 2019 in Mineral Processing and Extractive Metallurgy: Transactions of the Institutions of Mining and Metallurgy
Verified
Journal Article
Closed access
UMUdit S. Mohanty
Udit S. Mohanty
TKTaina Kalliomäki
Taina Kalliomäki
SSSipi Seisko
Sipi Seisko
CPChao Peng
Chao Peng
LRLotta Rintala
Lotta Rintala
MLMari Lundström
Mari Lundström
Anode slimes are valuable by-products in the electrolytic copper refinery process. This study aimed to investigate maximum extraction efficiency of Cu and Ni from slimes originating from the electrorefining of anodes containing high [Ni]. In addition, the extractions of Se, Te, As and Bi were determined. A factorial leaching series was conducted with T = 140–160°C, [H2SO4] = 12–20%, pO2 = 2–8 bars and solid/liquid ratio = 200–400 g/L. The highest Ni extraction of 99.7% was obtained with [H2SO4] = 20%, pO2 = 8 bar and T = 160°C while maintaining S/L ratio of 200 g/L. The extraction of copper was found to be within 97–99% in all the leaching experiments. Increasing acidity and decreasing S/L ratio increased the efficiency of Cu extraction. Mineralogical characterizations by SEM-EDX demonstrated the presence of Ag2Se, BaSO4, PbSO4 and several oxide phases in the leach residue.

1 August 2018 in Minerals & Metallurgical Processing
Verified
Journal Article
Closed access
ILI. Lehtiniemi
I. Lehtiniemi
TKTaina Kalliomäki
Taina Kalliomäki
LRLotta Rintala
Lotta Rintala
PLP. Latostenmaa
P. Latostenmaa
JAJ. Aromaa
J. Aromaa
MLMari Lundström
Mari Lundström