Thermo-Mechanical Finite Element Modeling of the Laser Treatment of Titanium Cold-Sprayed Coatings
Abstract
1. Introduction
2. Materials and Methods
2.1. Mathematical Formulation
2.2. Numerical Formulation
- Creation of the finite element model to perform the thermal simulation of the laser treatment;
- Definition of the temperature distribution, boundary and contact constraints as input for transient structural simulation are here defined;
- Analysis of stress-strain effects useful to evaluate coating damage.
3. Results and Discussions
4. Conclusions
- Highest predicted temperatures have been observed on the surface of samples processed at lower laser scan speed. The presence of a substrate influences the maximum temperature achieved on the surface as well as the cooling rate experienced by the material.
- Higher scan speed attains reduced value of temperature and material experiences sharper thermal gradients during the heating and cooling. The substrate showed to have a reduced influence on the temperature levels in comparison with the samples treated at lower speed.
- Compressive stresses have been found on the test case with thickness ratio equal to 1, processed with a laser scan speed of 12.5 mm/min (Case B_12.5). Compressive stress field inside the material are beneficial for reducing the failure tendency and enhancing the fatigue endurance of the deposit. Numerical results confirmed the effectiveness of the treatment carried out under this configuration.
- A tensile stress field was observed in the sample with thickness ratio <1, adopting 12.5 mm/min as laser scan speed (Case C_12.5). High value of the equivalent Von Mises stress was predicted inside the coating due to the sharp thermal gradient and the reduced thickness of the titanium deposit. The stress overcame the tensile strength of the cold-sprayed titanium pointing out the high risk of nucleation and propagation of cracks inside the coating. The numerical results are in good agreement with the experimental observations.
- Reduced tensile stresses were found in the other test cases analyzed. The predicted stress field was too low to cause the formation of cracks inside the material. The mechanical model was not able to explain the occurrence of the observed material loss. This kind of damage can be related to the weakness of the rutile layer produced and the mismatching with the underlying ductile metal.
- The proper matching between the laser heat input and the thickness ratio between the titanium coating and the aluminum substrate play a key role in the laser treatment. Indeed, the ability of the substrate to dissipate the heating from the coating allowed it to obtain the proper temperature distribution inside the coating, avoiding the overheating of the surface or ineffective treatment.
- In case of ratio between the coating and substrate thickness approximately equal to 1, a higher heat input can be adopted to promote the formation of a compact and dense titanium oxide layer. High laser energy input should be avoided in the case of reduced value of the thickness ratio. Indeed, the resulting high temperature gradient could cause the formation of intense residual stress fields inside the coating and the consequent catastrophic failure of the cold spray deposited titanium. For this coating/substrate configuration, lower heat input can be used in case of thin coatings obtaining a thin superficial rutile layer with good adhesion with the underlying coating.
Author Contributions
Funding
Conflicts of Interest
References
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| Property | Aluminum AA2024-T3 | Titanium Grade II | ||||||
|---|---|---|---|---|---|---|---|---|
| 20 °C | 100 °C | 200 °C | 400 °C | 600 °C | 800 °C | 1000 °C | ||
| Density (kg·m−3) | 2780 | 4500 | ||||||
| Specific heat capacity (J·kg−1·K−1) | 921 | 540 | 540 | 540 | 540 | 540 | 540 | 540 |
| Thermal conductivity (W·m−1·K−1) | 121.8 | 16.3 | 16.3 | 16.3 | 16.3 | 16.3 | 16.3 | 16.3 |
| Coefficient of thermal expansion ×10−6 (K−1) | 23.5 | 8.60 | 8.76 | 8.97 | 9.29 | 9.50 | 9.70 | 9.86 |
| Yield Strength (MPa) | Young’s Modulus (GPa) | Shear Modulus (GPa) | Poisson’s Ratio |
|---|---|---|---|
| 345 | 73 | 27.5 | 0.33 |
| Test Case | A | B | C | Domain |
|---|---|---|---|---|
| Coating Thickness (mm) | 2 | 2 | 0.4 | Coating |
| Substrate Thickness (AA 2024-T3) (mm) | 0 | 2 | 2 | Coating + substrate |
| Thickness Ratio | >>1 | 1 | <<1 |
| Parameter | Value |
|---|---|
| Laser power, P | 200 W |
| Scan speed, v (Linear heat input) | 12.5, 200, 1000 mm/min (1056, 66, 13.2 kJ/m) |
| Scan length, L | 30 mm |
| Laser spot diameter, D | 1.5 mm |
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Rubino, F.; Astarita, A.; Carlone, P. Thermo-Mechanical Finite Element Modeling of the Laser Treatment of Titanium Cold-Sprayed Coatings. Coatings 2018, 8, 219. https://doi.org/10.3390/coatings8060219
Rubino F, Astarita A, Carlone P. Thermo-Mechanical Finite Element Modeling of the Laser Treatment of Titanium Cold-Sprayed Coatings. Coatings. 2018; 8(6):219. https://doi.org/10.3390/coatings8060219
Chicago/Turabian StyleRubino, Felice, Antonello Astarita, and Pierpaolo Carlone. 2018. "Thermo-Mechanical Finite Element Modeling of the Laser Treatment of Titanium Cold-Sprayed Coatings" Coatings 8, no. 6: 219. https://doi.org/10.3390/coatings8060219
APA StyleRubino, F., Astarita, A., & Carlone, P. (2018). Thermo-Mechanical Finite Element Modeling of the Laser Treatment of Titanium Cold-Sprayed Coatings. Coatings, 8(6), 219. https://doi.org/10.3390/coatings8060219
