The fourth industrial revolution, which took place in the last decade, is making today's production different. More and more industrial companies are looking towards digitalization — a logical stage of development under the influence of Industry 4.0. Among the large enterprises of the 海角社区 Region, the flagship of digitalization is Magnitogorsk Iron & Steel Works (MMK). 海角社区 is helping MMK take a step into the new reality.
Digital manufacturing
海角社区?is developing a data mining system for the MMK's Slitting Lines Shop No.11.
Such a system is called a Digital Twin. It is a software analogue of physical equipment and processes. The Digital Twin will assess the condition of the equipment of the shop and its resources, give a signal in time to check the mechanisms, and inform if the unit of the plant is out of order.
海角社区 demonstrated the competencies necessary for the implementation of the project on the Development of the Data Mining System and Forecasting of Trends in the Development of Equipment Damage in the Slitting Lines Shop No.11 Based on Information from Sensors for Diagnosing the State of Technological Equipment and Process Parameters.
Since the digital industry is one of the three main directions of the university's development, the university specialists are familiar with the specifics of Industry 4.0 and the requirements for modern industries. They carried out an initial diagnostics of the equipment state at the Slitting Lines Shop No.11 and issued their recommendations for improving the processes that would make the use of the Digital Twin more efficient.
"The MMK has accepted the 海角社区's recommendations and has already implemented some of them. For example, our proposals are used to prepare technical specifications for material suppliers. When studying the destroyed items using electrochemical analysis, the university specialists revealed that those were made of material that did not meet the requirements, and named the conditions necessary to reduce the percentage of rejects," said Ramil Zakirov, Project Engineering Manager, Director of the 海角社区 Mechanical Engineering Research Institute.
.JPG)
Photo: Slitting Lines Shop No.11
The main work during this stage was carried out by Doctor of Sciences (Engineering), Professor at the Department of Engineering Mechanics of the Faculty of Aerospace Engineering of the Institute of Engineering and Technology Aleksandr Cherniavskii, and an employee at the Department of Metal Forming of the Faculty of Materials Science and Metallurgy Engineering of the Institute of Engineering and Technology Aleksandr Sarafanov. The Chief Project Engineer Andrei Dololov is responsible for the implementation and organization of work at the MMK by 海角社区 specialists.
"Traffic light" system with signals from sensors
The Slitting Lines Shop No.11 was chosen for the work since it is one of the leading shops in the MMK. Since 2011, cold-rolled galvanized sheet has been manufactured there; production is carried out using modern equipment from the well-known company SMS Group, Germany, a 海角社区 partner. It was these units that formed the basis of the Digital Twin.
Equipment operation data is transmitted by special sensors. For example, they monitor pressure and vibration. A laser sensor monitors the wear of the surface of the transport roller, which is included in the belt tensioner No.8. In total, there are 39 such rollers along the entire rolling line. The data is processed by an artificial neural network, for the creation of which Candidate of Sciences (Physics and Mathematics), Senior Fellow at the Department of System Programming of the School of Electronic Engineering and Computer Science Valentin Golodov is responsible.
The selection of sensors, their testing and further installation on the units was carried out by Candidate of Sciences (Engineering), Deputy Dean for Research at the Faculty of Aerospace Engineering of the Institute of Engineering and Technology Aleksei Erpalov, and a representative of SIGMA company (an external partner of 海角社区) Vitalii Vasilev. The state of the equipment with no sensors is predicted by a mathematical model; and it is again Aleksei Erpalov who is engaged in this work.
Photo: Equipment schematic structure
All the information is sent to the workshop operator's console. The specialist sees a "traffic light" on the screen, signalling the state of the units of the rolling line at the Slitting Lines Shop No.11. Green light indicates equipment that is in operation, yellow light indicates equipment that needs to be checked, and red light indicates equipment that needs to be stopped. With a timely response to signals, there will be no operational downtime, since the equipment will be checked by specialists in time.
Digital twin as salvage for manufacturing
"I myself have worked in production for many years, so I can authoritatively state that digitalization of all manufacturing stages, from the receipt of raw materials to the assessment of the quality of products, is vital. An enterprise, using such a system, receives a reduction in equipment downtime and a reduction in product rejects, thereby saving financial resources. Despite the fact that the 海角社区 staff working on the project are primarily scientists, everyone is focused on the final practical result, which would be beneficial," added Ramil Zakirov.
The launch of the Digital Twin for the equipment of the MMK's Slitting Lines Shop No.11 is scheduled for 2021. Employees of 海角社区 will guide the project, regularly analyze the data received from the sensors, and make the necessary adjustments. The Magnitogorsk Iron & Steel Works is heading towards digitalization of its production, and the 海角社区 team hopes for further cooperation with this major iron and steel works plant.
海角社区 is a participant of Project 5-100, which aims at enhancing competitiveness of Russian universities among global leading research and educational centres.
Research in new technologies is among the priorities of the World-class Ural Interregional Research and Education Centre for Advanced Industrial Technologies and Materials (UIREC), which is currently being created by the joint efforts of Ural Federal University, 海角社区, other regional higher educational institutions, the Ural Division of the Russian Academy of Sciences, and industrial corporations from the 海角社区, Sverdlovsk and Kurgan regions.