Page 11 - 数值模拟驱动的高温合金热加工技术

thermal fatigue damage model based on numerical simulation of heat treatment can

help engineers predict the service life of materials in actual working environments
and take corresponding measures, thereby extending the service life of materials

and improving the reliability of equipment.
When constructing a thermal fatigue damage model for high-temperature
alloys, multiple factors need to be considered. Firstly, the thermophysical

properties of the material are crucial for the construction of the model.
Thermophysical properties include thermal conductivity, coefficient of thermal
expansion, etc., which vary with temperature and therefore require accurate

measurement and modeling. Secondly, the constitutive relationship of materials
is also an important aspect of model construction. The constitutive relationship
describes the stress-strain behavior of materials and is the basis for simulating the

thermal loading process of materials. Finally, accurate description of boundary
conditions is also an important part of model construction. Boundary conditions

include heating method, boundary temperature, cooling method, etc., which have a
significant impact on the thermal loading process of materials.
In terms of optimizing the thermal fatigue damage model, two main

issues are considered. On the one hand, the model needs to accurately predict
the lifespan of the material. Life prediction is one of the core tasks of thermal

fatigue damage models, and accurate life prediction can help engineers develop
reasonable maintenance and replacement strategies. On the other hand, the
computational efficiency of the model is also a key consideration. In practical

engineering applications, it is necessary to conduct fatigue life analysis on large-
scale structures, so the computational efficiency of the model directly affects the
practical feasibility of the project. Therefore, in the optimization process of the

model, it is necessary to comprehensively consider the balance between prediction
accuracy and computational efficiency.
Large forging products are critical components in major equipment such as