Arif Aji

Mr. Arif Aji


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

13 November 2021 in Metals
Verified
Journal Article
Open access
PDF file
ZWZulin Wang
Zulin Wang
AAArif Aji
Arif Aji
Benjamin WilsonBenjamin Wilson
Benjamin Wilson
SJSteinar Jørstad
Steinar Jørstad
MMMaria Møll
Maria Møll
MLMari Lundström
Mari Lundström
Zinc electrowinning is an energy-intensive step of hydrometallurgical zinc production in which ohmic drop contributes the second highest overpotential in the process. As the ohmic drop is a result of electrolyte conductivity, three conductivity models (Aalto-I, Aalto-II and Aalto-III) were formulated in this study based on the synthetic industrial electrolyte conditions of Zn (50–70 g/dm3), H2SO4 (150–200 g/dm3), Mn (0–8 g/dm3), Mg (0–4 g/dm3), and temperature, T (30–40 °C). These studies indicate that electrolyte conductivity increases with temperature and H2SO4 concentration, whereas metal ions have negative effects on conductivity. In addition, the interaction effects of temperature and the concentrations of metal ions on solution conductivity were tested by comparing the performance of the linear model (Aalto-I) and interrelated models (Aalto-II and Aalto-III) to determine their significance in the electrowinning process. Statistical analysis shows that Aalto-I has the highest accuracy of all the models developed and investigated in this study. From the industrial validation, Aalto-I also demonstrates a high level of correlation in comparison to the other models presented in this study. Further comparison of model Aalto-I with the existing published models from previous studies shows that model Aalto-I substantially improves the accuracy of the zinc conductivity empirical model.


28 November 2020 in Metals
Verified
Journal Article
Open access
PDF file
AAArif Aji
Arif Aji
Jari AromaaJari Aromaa
Jari Aromaa
MLMari Lundström
Mari Lundström
Increasing silver production rate has been a challenge for the existing refining facilities. The application of high current density (HCD) as one of the possible solutions to increase the process throughput is also expected to reduce both energy consumption and process inventory. From the recently-developed models of silver electrorefining, this study simulated the optimum electrolyte parameters to optimize the specific energy consumption (SEC) and the silver inventory in the electrolyte for an HCD application. It was found that by using [Cu2+] in electrolyte, both objectives can be achieved. The suggested optimum composition range from this study was [Ag+] 100–150 g/dm3, [HNO3] 5 g/dm3, and [Cu2+] 50–75 g/dm3. HCD application (1000 A/m2) in these electrolyte conditions result in cell voltage of 2.7–3.2 V and SEC of 0.60–1.01 kWh/kg, with silver inventory in electrolyte of 26–39 kg silver for 100 kg per day basis. The corresponding figures for the conventional process were 1.5–2.8 V, 0.44–0.76 kWh/kg, and 15.54–194.25 kg, in respective order. These results show that, while HCD increases SEC by app. 30%, the improvement provides a significant smaller footprint as a result of a more compact of process. Thus, applying HCD in silver electrorefining offers the best solution in increasing production capacity and process efficiency.

1 July 2018 in Corrosion Science
Verified
Journal Article
Closed access
AAArif Aji
Arif Aji
JAJari Aromaa
Jari Aromaa
Benjamin WilsonBenjamin Wilson
Benjamin Wilson
UMUdit S. Mohanty
Udit S. Mohanty
MLMari Lundström
Mari Lundström

1 December 2016 in Hydrometallurgy
Verified
Journal Article
Closed access
AAArif Aji
Arif Aji
SPSunara Purwadaria
Sunara Purwadaria
Jari AromaaJari Aromaa
Jari Aromaa
Benjamin WilsonBenjamin Wilson
Benjamin Wilson
OFOlof Forsén
Olof Forsén
MLMari Lundström
Mari Lundström