Thermo-Mechanical Fatigue (TMF) Analysis
Thermo-Mechanical Fatigue (TMF) Analysis: Theoretical Foundations
What is TMF?
- Gas Turbine Blades/Vanes: 0β1200Β°C during start-stop cycles.
- Automotive Engine Exhaust Manifolds: 200β900Β°C from cold start β high-temperature steady state β cooling.
- Power Generation Steam Turbine Rotors: Temperature difference between surface and interior during startup thermal transients.
- Brake Discs: Repeated frictional heating during braking and cooling.
- Nuclear Piping Thermal Stripping: Temperature fluctuations due to mixing of fluids at different temperatures.
In-phase and Out-of-phase
- In-phase (IP, same phase): Tensile strain is maximum when temperature is also highest. The combination of high temperature and tension makes creep damage dominant. Cracks often propagate internally along grain boundaries.
- Out-of-phase (OP, opposite phase): Compressive strain is maximum when temperature is highest. An oxide layer forms at high temperature, and when it cools and shifts to tension, the oxide layer cracks, initiating surface cracks. Oxidation damage is dominant.
Superposition of Damage Mechanisms
- Pure Fatigue Damage (Fatigue): Dislocation accumulation due to cyclic mechanical strain β crack nucleation. Same mechanism as Low-Cycle Fatigue (LCF), but the material's cyclic response changes with temperature.
- Oxidation Damage (Oxidation): Surface oxide layer growth during high-temperature hold, cracking of the oxide layer due to strain incompatibility during cooling. In Ni-based alloys, if protective films like AlβOβ or CrβOβ are destroyed, oxidation accelerates.
- Creep Damage (Creep): Grain boundary sliding and void diffusion progress under high temperature and tensile stress. Damage accumulates during long holds, leading to intergranular cracking.
Governing Equations and Strain Decomposition
- $\sigma'_f(T)$: Temperature-dependent fatigue strength coefficient
- $b(T)$: Fatigue strength exponent (typically $-0.05$ to $-0.12$)
- $\varepsilon'_f(T)$: Fatigue ductility coefficient
- $c(T)$: Fatigue ductility exponent (typically $-0.5$ to $-0.7$)
- $E(T)$: Temperature-dependent Young's modulus
Neu-Sehitoglu Model
Why TMF Testing Machines Cost "Hundreds of Millions of Yen Each"
Experimental evaluation of TMF requires dedicated testing machines, with prices typically ranging from 100 to 300 million yen per unit. While ordinary fatigue tests are conducted at room temperature, TMF tests require rapidly heating the specimen via high-frequency induction heating while simultaneously applying precise tensile/compressive loads in real-time synchronization. Temperature control accuracy must be within Β±2Β°C, strain control within Β±0.001% using high-temperature extensometersβtechnology that can stably repeat these conditions for hundreds to thousands of cycles is required. In OP-TMF tests simulating aircraft engine turbine blades, lifespan can be 1/5 to 1/10 that of isothermal fatigue. The purpose of TMF analysis is to use simulation to predict results, serving as a substitute for this high-cost test data.
Computational Methods for Thermo-Mechanical Fatigue (TMF) Analysis
Temperature-Dependent Constitutive Models
- Temperature-dependent elastoplastic model: Identify parameters for yield stress, hardening rules (isotropic hardening, kinematic hardening) at multiple temperatures. The Chaboche model (nonlinear kinematic hardening) is effectively the standard for TMF.
- Creep law: Norton's law or Norton-Bailey time-hardening law. Reproduces the effects of high-temperature holds.
- Unified Constitutive Model: Bodner-Partom, Walker, Chaboche-Lemaitre, etc. Treats plasticity and creep not separately but as a unified viscoplastic strain. Unified models are ideal for TMF, but parameter identification is challenging.
FEM-based Thermal-Structural Coupling
- Calculate the temperature field time history for startup β steady state β shutdown via heat conduction analysis ($T(\mathbf{x}, t)$)
- Transfer the temperature field to the structural mesh.
- Apply $\Delta\varepsilon_{th} = \alpha(T)\Delta T$ as a thermal load at each time step.
- Execute nonlinear structural analysis (temperature-dependent elastoplastic + creep).
- Extract stress-strain-temperature history of the stabilized cycle β input into life prediction model.
Fatigue Post-Processing
- fe-safe (Dassault Systèmes): Tight integration with Abaqus. Has a dedicated TMF module. Supports the Neu-Sehitoglu model.
- nCode DesignLife (HBK/Siemens): Supports multiple solvers. Allows selection of SWT, SRP, Manson-Coffin, etc.
- FEMFAT (ECS): Widely adopted by automotive OEMs. Fast processing.
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