Molten pool characteristics of a nickel-titanium shape memory alloy for directed energy deposition
| Autor: | Yuncong Feng, Jianjian Wang, Mian Qin, Ping Guo, Shiming Gao, Wei-Hsin Liao, O.P. Bodunde |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Cladding (metalworking) Condensed Matter - Materials Science Materials science Materials Science (cond-mat.mtrl-sci) FOS: Physical sciences Applied Physics (physics.app-ph) 02 engineering and technology Shape-memory alloy Physics - Applied Physics 021001 nanoscience & nanotechnology Microstructure 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Nickel titanium 0103 physical sciences Pseudoelasticity Heat transfer Deposition (phase transition) Electrical and Electronic Engineering Composite material 0210 nano-technology Shape factor |
| Popis: | Fabrication of nickel-titanium shape memory alloy through additive manufacturing has attracted increasing interest due to its advantages of flexible manufacturing capability, low-cost customization, and minimal defects. The process parameters in directed energy deposition (DED) have a crucial impact on its molten pool characteristics (geometry, microstructure, etc.), thus influencing the final properties of shape memory effect and pseudoelasticity. In this paper, a three-dimensional numerical model considering heat transfer, phase change, and fluid flow has been developed to simulate the cladding geometry, melt pool depth, and deposition rate. The experimental and simulated results indicated that laser power plays a critical role in determining the melt pool width and deposition rate while scan speed and powder feed rate have less effect on cladding geometry and deposition rate. The fluid velocity has a huge influence on the distribution of elements in the molten pool. The temperature gradient G, solidification rate R, as well as shape factor G/R were calculated to illustrate the underlying mechanisms of grain structure evolution. The grain morphology distribution of cross-section from the experimental samples agreed well with the simulation results. The model reported in this paper is expected to shed light on the optimization of the deposition process and grain structure prediction. |
| Databáze: | OpenAIRE |
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