🇬🇧

Functional Properties of a Ni-rich Ni–Ti–Hf Shape Memory Alloy Fabricated via Laser Beam Powder Bed Fusion—Impact of Porosity and Precipitation Characteristics on the Thermal Hysteresis

Additive manufacturing (AM) is very promising for the fabrication of complex parts made from shape memory alloys (SMAs). In the present study, a Ni–Ti–Hf shape memory alloy has been processed by laser beam powder bed fusion of metals (PBF-LB/M). Employing different sets of processing parameters, i.e., a variation of scanning speed, specimens characterized by various microstructures and porosities were obtained. Microstructural analysis revealed that processing of Ni–Ti–Hf SMAs at a low energy level promotes the formation of a fine-grained microstructure with numerous lack of fusion defects. Transmission electron microscopy (TEM) studies revealed that H-phase precipitates are present in any case, leading to an increase in the Mₛ-temperature and, thus, a phase transformation at room temperature. The thermal stability of the phase transformation behavior in different Ni–Ti–Hf as-built conditions was studied using differential scanning calorimetry (DSC). DSC analysis showed that specimens with a higher defect density are characterized by smaller thermal hysteresis.

Sponsor
Gefördert im Rahmen des Projekts DEAL
Citation
In: Shape Memory and Superelasticity Volume 10 / Issue 3 (2024-06-14) , S. 255-266; eissn:2199-3858
Collections
@article{doi:10.17170/kobra-2024102511005,
  author    ={Sajadifar, Seyed Vahid and Krooß, Philipp and Ewald, Felix Clemens and Lauhoff, Christian and Bolender, Artjom and Kahlert, Moritz and Arold, Tizian and Gerstein, G. and Niendorf, Thomas},
  title    ={Functional Properties of a Ni-rich Ni–Ti–Hf Shape Memory Alloy Fabricated via Laser Beam Powder Bed Fusion—Impact of Porosity and Precipitation Characteristics on the Thermal Hysteresis},
  keywords ={600 and Memory-Legierung and Differential scanning calorimetry and Mikrostruktur and Selektives Laserschmelzen and Rapid Prototyping  and Mechanische Eigenschaft},
  copyright  ={http://creativecommons.org/licenses/by/4.0/},
  language ={en},
  journal  ={Shape Memory and Superelasticity},
  year   ={2024-06-14}
}