The turbine guide is an important component within a gas turbine engine, whose main function is to change the flow direction of high-temperature gas, drive the turbine blades to rotate, and then complete the potential energy conversion between the gas and the blades. Due to the need for this component to come into contact with high-temperature gas during service, the service temperature can reach up to 1900K, making it one of the key hot end components in turbo engines. With the gradual development of turbine guides towards complexity, high reliability, and economy, their precisionalso faces greater challenges. How to prepare qualified products with excellent quality has become an urgent problem to be solved.
The traditional strategy for the research and development of precision casting processes for new products is “practical experience+multiple rounds of trial production”, which is characterized by long development cycles, high research and development costs, and difficulty in clarifying the evolution laws of physical fields in the precision casting process. However, numerical simulation methods adopt the strategy of “multiple rounds of simulation iteration+trial production”, which can assist research and development personnel in quickly mastering the process of metal filling in the precision casting process The mechanism of solidification and defect distribution can determine relevant control points, achieve rapid iteration of the process, and ensure the development progress and product quality. In view of this, precision casting products developed through numerical simulation have been widely used in aerospace, weapons, automobiles and other fields for a long time. More than 90% of precision casting enterprises in the United States have practiced the concept of “no simulation, no production”. Therefore, using ProCAST software to simulate and analyze the initial precision casting process of the turbine guide, explore the evolution law of the metal liquid filling and solidification process in the precision casting, and the reasons for the formation of defects, in order to optimize the initial process, while taking into account the engineering technology cost, and clarify the optimal precision casting process plan, ultimately obtaining a defect free precision casting.