UEC creates new competitive aircraft engines based on the digital twin concept
UEC has already implemented projects to create a digital twin of the TV7-117ST and AI-222-25 aircraft engines. Digital twin technologies ensured the successful completion of the first stage of testing of the prototype gas generator of the new PD-8 aircraft engine and processing of the results. A project has already been launched to create a digital twin of the marine engine and gearbox as part of the unit. A universal digital platform for creating digital twins of gas turbine engines is also being developed.
"The total number of requirements for the digital twin technology of a gas turbine engine can reach several thousand. They are confirmed using hundreds of calculation models of different levels of detail. It is the concept of a digital twin that allows us to provide a systematic approach to engine development, as well as connect various levels of components and the power plant as a whole, and find optimal combinations of node parameters from a wide range of possible variants of their execution," says Alexander Nikulin, Project manager of UEC High - Performance Computing and Digital Product Doubles.
United Engine Corporation is implementing the project "High-performance Computing and digital Product Twins" to integrate various approaches to creating elements of the digital twin of gas turbine engines at its enterprises.
"The use of digital twin technology allows you to manage the life cycle of a gas turbine engine, conduct "virtual tests". As a result, we can reduce the engine development time, adjust the operation at all stages and significantly reduce costs, up to 30%," said Kirill Vinogradov, Deputy Head of OKB - 1 for Design and Research Work at UEC-Saturn.
With this approach, the virtual engine prototype completely repeats the behavior of a physical gas turbine engine, including all internal processes, operating conditions, technical condition, and operating time of a particular instance. The digital twin of the engine should contain data on the main stages of the life cycle: design, production, testing, operation, and also be located in a single information space for collective distributed work of specialists. The level of accuracy and compliance of the mathematical models used with real physical objects is extremely important.
The methodology for managing the life cycle of a gas turbine engine based on digital twin technology was discussed in detail in the presentation of the United Engine Corporation at MAKS-2021.