Method for dynamically predicting tensile property of high-temperature alloy based on grain size change

• Main Authors: ZHANG ZHIGANG, LUO JIAO, GUO HAOKUN, LI MIAOQUAN
• Format: Patent
• Language: Chinese; English
• Published: 12.09.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention relates to a method for dynamically predicting the tensile property of a high-temperature alloy based on grain size change. Comprising the steps of establishing a relation model of the gamma-phase grain size of the high-temperature alloy and the solid solution process parameters of the high-temperature alloy, establishing a relation of the tensile property of the high-temperature alloy and the heat treatment process parameters of the high-temperature alloy, and establishing a neural network model of the heat treatment process parameters, the gamma-phase grain size and the tensile property of the high-temperature alloy. According to the method, a theoretical calculation formula of the grain size of the gamma phase of the high-temperature alloy considering the influence of the initial grain size D0 of the gamma phase, the temperature and the time is established, and when a tensile property prediction model is established, dynamic evolution of microstructure parameters is used as input of a Pi-sigm