Traditional methods of designing new materials are subjective and based on trial and error, and are therefore costly and time-consuming.
The costs of developing a new alloy for special purposes can therefore reach more than 200 million CZK.
The goal of the project will be to develop a system using artificial intelligence for the modeling, development and optimization of new superalloys that will simultaneously meet a whole range of physical requirements.
The system will use an artificial deep neural network that will be trained on pre-existing material data that allows predictions of individual material properties (phase content, fatigue life, yield strength, tensile strength, oxidation resistance, cost, etc.) as a function of material composition and technological production procedure, which will enable the optimization of the material composition so that the multi-criteria target specifications of the resulting superalloy exceed the specifications of existing commercially available alloys.