The invention relates to a data-driven deformation
nickel-based
superalloy multi-objective performance reverse design optimization method, which belongs to the technical field of
metal material design and development, and comprises the following steps: calculating a stable high-strength deformation
nickel-based
superalloy system based on a
first principle, and on this basis, calculating a deformation
nickel-based
superalloy system; constructing a deformed nickel-based superalloy component
design space based on the knowledge of the nickel-based superalloy field; based on a deformed nickel-based superalloy component
design space, the deformed nickel-based superalloy component
design space is reduced by adopting an
empirical formula in combination with thermodynamic high-
throughput calculation to obtain the reduced deformed nickel-based superalloy component design space, and based on the reduced deformed nickel-based superalloy component design space, based on
machine learning and a
genetic algorithm, the deformation nickel-based superalloy component design space is obtained. And a deformed nickel-based high-temperature
alloy reverse design model is established, and the deformed nickel-based high-temperature
alloy with the target performance is screened. Compared with the prior art, the oriented development method for the high-strength and high-
toughness nickel-based high-temperature
alloy is achieved by fusing cross-scale calculation,
domain knowledge constraint and
machine learning reverse design.