Page 13 - 数值模拟驱动的高温合金热加工技术

classification and technical difficulties of high-temperature alloy hot working

processes, the limitations analysis of traditional hot working methods, and the
significance of numerical simulation driven technological innovation; Chapter 2

is the basic theory and methods of numerical simulation, including the application
principles of finite element method (FEM) in hot working, computational fluid
dynamics (CFD) and multi physics field coupling models, constitutive models

of high-temperature alloys and material database construction, and comparison
of commonly used numerical simulation software tools (such as DEFORM,
ABAQUS, etc.); Chapter 3 is about the simulation of casting solidification

process and defect control, including the physical and chemical properties of
high-temperature alloy casting process, phase field simulation of microstructure
evolution during solidification process, numerical prediction methods for defects

such as shrinkage and segregation, and case studies of directional solidification
and single crystal blade simulation; Chapter 4 is the numerical simulation of high-

temperature alloy forging process, including the influence mechanism of forging
process parameters on microstructure and properties, dynamic recrystallization
simulation of forging forming process, modeling of mold workpiece interface

friction and heat conduction, and case studies of forging defect prediction and
process optimization; Chapter 5 is about simulation technology for welding and

heat treatment processes, including thermal cycling and residual stress analysis of
high-temperature alloy welding, multi-scale modeling of diffusion welding and
electron beam welding, simulation of microstructure transformation during heat

treatment, and optimization strategies for welding joint performance; Chapter 6
is about process parameter optimization and intelligent algorithm application,
including process parameter design based on response surface methodology

(RSM), application of genetic algorithm and neural network in optimization,
digital twin technology and real-time process control, uncertainty analysis and
robust optimization framework; Chapter 7 presents industrial application cases