INRTU Patented a Software for Selecting Crushing Equipment at Mining and Processing Plants

INRTU has patented domestic software that selects crushing equipment and specific energy intensity of disintegration based on physical and mechanical properties of mineral raw materials and external factor (temperature). The information system created under the Priority 2030 Program will be in demand by organizations designing mining and processing plants.

The initiator of the project is the Department of Mineral Processing and Environmental Protection named after S.B. Leonov. INRTU students have methods of determining physical and mechanical properties at sub-zero temperatures and microscopic analysis of the newly formed surface. These results were achieved by students and young scientists using state support. Postgraduate student Yuri Novikov is completing his PhD thesis on the disintegration of mineral raw materials.

The goal of the engineers' work is to develop a mathematical model for analyzing a specialized database containing parameters of uniaxial compression, tension and specific energy intensity of mechanical disintegration of mineral raw materials. The integration of laboratory test data allowed the process to be optimized. The enrichment companies reduced the number of samples, accelerated the selection of equipment taking into account the requirements for productivity and crushing efficiency.

“The software predicts the results of mineral disintegration. As the data from laboratory tests accumulate in the system, the mathematical model becomes more accurate.

Unlike foreign analogues, the software is focused on the study of mechanical properties of raw materials. It is used to determine the type of crusher suitable for a particular type of ore – cone, roller or jaw crusher. The software also shows at what temperature rock destruction is most effective, since the beneficiation process depends on the quality of ore preparation,” noted Yuri Novikov.

The project team also includes students Bair Tsybenov, Elena Maximova, Lilia Vasilieva and Sergey Presnyakov. Under the guidance of Yuri Novikov, they learned to develop application software in the Python language.