YOUTH, ENERGY, PROFESSIONALISM

Moscow summed up the results of the XI International Engineering Championship "CASE-IN" cup, which was held with the support of the presidential platform "Russia – the land of opportunities".

The championship identified 15 of the strongest teams, presented more than 60 solutions to achieve Russia's technological leadership, and developed plans for lean manufacturing in 2024. The final of the competition brought together 219 schoolchildren, students and young professionals, as well as representatives of relevant ministries, departments and companies. Almost 13,500 people were able to acquire professional skills.

On the day of the final, expert commissions identified 15 teams — new champions and prize-winners, and representatives of relevant ministries, departments and industry companies took part in awarding the authors of the best ideas.

The Student League became the most massive competition of the XI season of the "CASE-IN" in terms of geography and number of participants. It brought together 2,500 students from 145 universities. In the teams, future specialists solved cases and completed tasks corresponding to the main theme of the XI season, "Technological Leadership."

The team "4 Volts" from the National Research University "MEI" became the bronze medalist. Egor Sergeev, Pavel Trukhanov, Roman Dubakov and Bella Loshkareva conducted an analysis of the Udachnaya mine. There are 12 tunneling combines, eight drilling rigs, nine loading and delivery vehicles, and eight underground dump trucks operating at this facility. The annual operation of the mine is estimated at 7,665 hours.

The main problems in this market segment are: the departure of foreign companies, the share of machinery in our enterprises is 55%; depreciation of imported equipment (53% in mines, 43% in sections); a small number of domestic companies (one plant per type of equipment); lack of their own solutions; manufacturers' R&D costs - 1.5%. The share of imported equipment in the production processes at this enterprise reached 76.6% in 2021.

To overcome the current situation, young specialists proposed replacing a foreign tunneling combine with a domestic YAMZ KSP‑35 model. It is manufactured by Yasinovatsky Machine-Building Plant LLC from components of the Pervomaisk plant of the LPR, Donetsk Electrotechnical Plant and other Russian enterprises.

Western drilling rigs have also been proposed to be replaced with Chinese and Russian models.

Imported loading and delivery vehicles (PDMS) should give way to the Russian equivalent of the USM PDM 95-01 CJSC Uralspetsmash. The main component of the machine (hydraulic cylinder) is manufactured in Russia, PDM 95-01 has the possibility of radio control, has passed all checks and entered mass production, besides it costs almost three times cheaper than the "foreigner".

Instead of foreign underground dump trucks, the machines of the Mogilev Auto[1] plant can work quite successfully. The capacity of each model is 18% more, besides, the Belarusian dump truck has the highest load capacity among the presented analogues and the lowest price. The engine is manufactured by Yaroslavl Motor Plant, and the transmission is manufactured by BelAZ.

The silver medal went to the Lobachevsky Straight Line team from the Moscow Institute of Physics and Technology (National Research University).

Sergey Zubko, Anastasia Lazareva, Ulyana Maksimova and Anna Golik presented their project on integrated import substitution of machinery at the underground mines of ALROSA Holding in accordance with the concept of "zero emissions".

The students assessed the vulnerability of the units and the inventory quantity for each group of mining equipment in operation. We have determined the maximum period of their operation, the distribution of fuel costs by type of equipment.

Continuous maintenance stations with reverse engineering and manual production of hard-to-reach spare parts have been set up, since the distance between Udachny and Mir mines exceeds 400 km. In the process of manufacturing spare parts, the original shape of the broken part is first restored, the whole part is scanned, then a CNC milling machine and a modern 3D printer come into play.

According to the team members, neural network predictive diagnostic systems will extend the service life of special equipment. For this purpose, time series forecasting methods using recurrent neural networks with LSTM layers are used, the effect of which is to ensure the accuracy and depth of predictive analysis sufficient for planning maintenance and repair (maintenance and repair).

The average cost of maintenance and repair is estimated using the method of detecting nonlinear dependencies. We have identified ways to assess the technical condition based on neural network diagnostics and diagnostics of damage to machine parts within the framework of a schematic diagram of a digital enterprise management system.

In turn, intelligent dispatching based on predictive diagnostics of the equipment resource will increase the resource of the current fleet of equipment, including monitoring the location, distribution of equipment and personnel, and prevent possible accidents.

The team also reported on hydrogen paste as an innovative way to store energy. The process is based on the production of hydrogen for magnesium hydride by electrolysis on a proton exchange membrane.

The payback of the fleet of vehicles was also calculated due to the reduction of depreciation charges. As a result, all deductions in 2023 amounted to 11.5 billion rubles, of which the share of underground mining equipment decreased by 24%, which will provide annual savings of 276 million rubles. by increasing the resource of the machines.

The gold was won by the Oil Sharks Inc team from Irkutsk National Research Technical University. Kirill Sokolnikov, Egor Maksimov and Dmitry Melentyev have developed an import substitution project for one of ALROSA's enterprises— the Internationalny mine.

The key solution was a module that automatically determines the rating of equipment and selects the best model for user requests. The young specialists independently created a catalog for the system from domestic equipment and technical proposals offered by friendly countries, primarily from China and Belarus. Using the module, the company will be able to choose what is suitable for performance and other parameters. However, in order for the module to work smoothly, there are limitations when searching for equipment. A list and map of mining equipment manufacturers (deployment of mining machinery factories) from friendly countries have been compiled. The schedule of required capital repairs of special equipment from 2024 to 2030 has been determined. Considerable attention is paid to the creation of Russian software, the use of reverse engineering and the most popular components for their use using reverse engineering. The issues of implementing an automation system on tunneling combines, unmanned control on loading and delivery machines, and an integrated control system on dump trucks have been considered.

As a result, the current version includes the use of parallel imports, supplemented by reverse engineering. An economical option is equipment from friendly countries. The optimal solution is based on a combined solution.

Automobile Roads Magazine, No. 1 (1106), January 2024