The evolution toward sustainable mining can be achieved by implementing circular economies (CEs), and one way forward is via product-service systems (PSSs). However, applying PSSs in the mining industry is an area with little extant research. We seek to contribute to CE and sustainability research by proposing a model by which mining companies can achieve circularity through their suppliers: something which has not yet been explored. First, we present a critical literature review of published papers about the barriers and benefits in industries where servitization or PSS has been applied. We discuss barriers impeding PSS implementation in the mining industry, along with related concepts including CE and PSSs in digital technologies. With this study we hope to draw more discussion to the topic of PSSs in the mining industry and provide useful guidelines to academics and industry professionals for PSS implementation in mining: an important step toward circularity.

The internal phenomena of a concentrate dryer were studied to significantly improve the modeling and design of a melting process. The present study coupled computational fluid dynamics and the differentiated elements method to obtain detailed information about complex phenomena in the simulated obtention of copper metal while keeping fluids physically stable. It was possible to understand the behavior from the point of view of the fluid and dynamics with acceptable margins of error. The study is part of the critical process line at Caletones Smelter in Chile, which produces ca. 450 000 tons of fine copper per annum, representing 2 % of total annual global copper demand and making the subject of this study highly relevant.

In copper sulfide concentrates smelting, the off-gases from the Pierce Smith converter (PSC) furnace must be treated to prevent environmental impacts as they are highly corrosive and toxic. The purpose of this research project is to present a methodology for the simulation of a capture and cooling system of the smelting off-gases from a Pierce Smith copper converter, using computational fluid dynamics. Through this methodology, it is possible to obtain a simulation model of the smelting off-gases behavior with an average error of 9.88%. Basically, it demonstrates that the simulated tendencies of the metallurgical off-gases on the cooling hood and chamber can be reliable to predict the thermo-fluid dynamic behavior of the off-gases inside the studied off-gases handling system.

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