journal article·2018-08

Sintering regimes and resulting microstructure and properties of binder jet 3D printed Ni-Mn-Ga magnetic shape memory alloys

Amir Mostafaei, Pierangeli Rodriguez De Vecchis, Erica L. Stevens, Markus Chmielus

Acta Materialia· Volume 154
Publisher page

Abstract

Binder jet 3D printing was used to produce magnetic shape memory alloy samples with densities increasing from 45% to 99% with increasing sintering temperature from 1000 °C to 1100 °C for 2 h. Within this temperature range, the sintering mechanisms, microstructural evolution, phase transformation and magnetic behavior were investigated and categorized in three different sintering regimes. X-ray diffraction showed that the pre-alloyed ball-milled Ni 49.7Mn 30Ga 20.3 powder has the austenite phase, however, twinned 14 M modulated martensite is present over the entire sintering temperature range with an increasing formation of martensite twins with temperature. At the low temperature sintering regime (<1020 °C), solid-state sintering results in densities of ∼45%, consistent composition, phase transformation, Curie temperature and magnetization. In the medium temperature sintering regime (1020 °C–1080 °C), solid-state sintering with grain boundary diffusion leads to densities up to ∼80% and otherwise similar properties as the low temperature regime. In the high temperature sintering regime (1090 °C–1100 °C), liquid phase sintering is dominant leading to densities up to ∼99% but due to segregation at the grain boundaries, broadening of transformation temperatures and lower saturation magnetization. In conclusion, binder jet 3D printing of Ni-Mn-Ga alloys show potential to enable functional, complex-shaped elements, and intentional porosity might allow these polycrystals to exhibit the magnetic field induced strain by reducing constraints between neighboring grains.
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Research context

OpenAlex topics: Shape Memory Alloy Transformations · Advanced Memory and Neural Computing · Magnetic and transport properties of perovskites and related materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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