Software development for balance calculations of ilmenite concentrate processing

Разработка программного обеспечения для расчётов балансов при переработке концентрата ильменита
T. R. Kosovtseva, E. V. Sizyakova, V. A. Slobodin
2025-09-21

MS Excel integrationPython software packageTi losses at TiCl4 purification (12.92%)Ti losses at reduction smelting (6.63%)ilmenite concentrate processingmagnesiothermic metal reductionmaterial balance deviation < 0.2%material flow balancesreduction smeltingslag chlorinationtitanium losses (21.4%)titanium tetrachloride extraction and purificationvacuum separation
The aim is to develop dedicated software for automating the calculation of material flow balances in the process flow diagram of ilmenite concentrate processing in order to optimize titanium production, reduce raw material losses, and enhance the efficiency of process management. Material flow analysis is used to comprehensively monitor materials flow at all stages of titanium-containing raw material processing. The stages include reduction smelting, slag chlorination in the melt, titanium tetrachloride extraction and purification, magnesiothermic metal reduction, and vacuum separation. The software package developed in Python consists of four modules. Each module calculates the material balance for a specific technological process stage. Interaction with the user is implemented through MS Excel for the convenience of data entry and visualization of results. The software package ensured the calculation of com plete material balances with a deviation of less than 0.2%. The analysis revealed technology-related titanium losses at the level of 21.4% compared to the initial amount of metal in the concentrate. It was shown that the most substantial Tilosses occurred at the stages of reduction smelting (6.63%, mainly into dust and cast iron) and titanium tetrachloride (IV) purification (12.92%, into by-products). Smaller losses were recorded during slag chlorination (0.33%), titanium tetrachloride (IV) reduction (2.50%), and reaction mass separation (0.51%). The designed programs were published in the official Rospatent Bulletin Computer Programs. Databases. Topology of Integrated Circuits. The developed software package enables the automation of material balance calculations in titanium production from ilmenite concentrate. The key areas for improving the technological process include modernizing the reduction smelting and titanium tetra chloride purification stages where maximum losses of the target metal are observed.
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A Python software package with four modules was developed to automate material flow balance calculations for ilmenite concentrate processing.
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Loss distribution by stage: reduction smelting 6.63% (mainly into dust and cast iron), TiCl4 purification 12.92% (into by-products), slag chlorination 0.33%, TiCl4 reduction 2.50%, reaction mass separation 0.51%.
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Overall technology-related titanium losses were quantified at 21.4% of the initial metal in the concentrate.
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Recommendations identify modernizing reduction smelting and TiCl4 purification as key areas to reduce the largest titanium losses.
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The software computed complete material balances with a deviation of less than 0.2%.
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The software package was officially published in the Rospatent Bulletin Computer Programs, enabling automation of titanium production material balance calculations.
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User interaction and data visualization are implemented via MS Excel for convenient data entry and results display.

Ilmenite concentrate processing material flow in titanium production (process flow diagram including reduction smelting, slag chlorination, TiCl4 extraction and purification, magnesiothermic reduction, vacuum separation)

Automation of material balance calculations and analysis of titanium mass losses across processing stages to optimize production efficiency and reduce raw material losses

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2025-09-21
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T. R. Kosovtseva
E. V. Sizyakova
V. A. Slobodin
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