Data-Driven Design of Cast Nickel-Based Superalloy and Precision Forming of Complex Castings

The development of material genomics engineering and intelligent material-processing technology provides new ideas for researching, developing, and manufacturing key thermal superalloy components of aeroengines. Based on the demand for superalloy materials and casting processing, a high-throughput dynamic simulation software system was developed. Combined with the screening criteria of nickel-based casting superalloy, a new nickel-based casting superalloy was selected and developed from more than 5.2 million-component combinations. High-temperature durability at 815 degrees C and 400 MPa is better than foreign Inconel 939 superalloy. For the precision molding of complex superalloy casting, the data-driven process of the casting deformation is integrated, which reveals the correlation between the process parameters and size precision during solidification deformation. Thus, a data-driven process parameter optimization method is proposed herein. A data-driven casting outlet design method based on the model and algorithm, combined with the test design and multi-target genetic algorithm, which optimized the casting process parameters, was established, and the production rate of the casting process increased by 13.39% after the test verification. The combination of data-driven component design and data model-based process design will accelerate the development and application of aviation materials and components.