Abstract
The depletion of high-grade copper ores and the increasing prevalence of lowgrade, high-sulfur copper concentrates present significant challenges to the copper smelting industry. Traditional smelting processes struggle to maintain economic viability and comply with environmental regulations when processing these complex ores. This paper details the development of a comprehensive software solution designed to simulate the smelting process for high-sulfur, copper-poor concentrates. The software employs a detailed mathematical model to predict the yields and compositions of products, including valuable metals, during the smelting process. It integrates multiple modules, such as ore input, smelting simulation, and results presentation, providing a userfriendly platform for optimizing smelting operations. Critical parameters like ore composition, smelting temperature, and flux addition are incorporated into the model, enabling accurate predictions of matte and slag outputs. By analyzing these outputs, the software aids in optimizing metal recovery and reducing losses, ultimately enhancing the efficiency and sustainability of copper production. This tool is particularly relevant for large sulfide copper ore deposits, such as those in Kazakhstan, which have high sulfur content and low copper levels. The software's ability to simulate different processing scenarios provides valuable insights for industrial applications, supporting the development of more efficient and eco-friendly smelting technologies. The comprehensive software solution not only addresses the technical challenges of processing high-sulfur, low-copper ores but also contributes to the industry's efforts to reduce environmental impact and improve resource management. This innovation represents a significant step forward in the optimization of copper smelting operations, promoting sustainability and efficiency in the face of declining ore quality.