{'fraction_non_alphanumeric': 0.023072594259988744, 'fraction_numerical': 0.005064715813168261, 'mean_word_length': 5.609665427509293, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Modeling and characterization of binder jet 3D printed NiMnGa components using X-ray microscopy

Binder jetting additive manufacturing provides major benefits for obtaining NiMnGa components displaying magnetic shape memory effect (MSME) [1-3]. In the case of NiMnGa alloys it was proved that cast porous materials with bimodal pore-size distributions shows a magnetic field induced strain (MFIS) up to 8.7% [4]. Increased MFIS in porous polycrystalline NiMnGa, compared to the bulk material, was explained by the reduced constraints imposed by grain boundaries, thus enabling twin boundary motion [5]. However, obtaining NiMnGa foams by casting proved to be a complicated manufacturing technique, which offers limited capabilities in producing parts with complex geometry. Caputo et al. [6] proposed a simple technological approach to obtain porous polycrystalline NiMnGa components with any desirable shape, by taking advantage of the inherent porosity presented in parts produced by powder bed binder jetting additive manufacturing. The purpose of using X-ray microscopy in this investigation was to visualize the structure of additive manufactured NiMnGa component, in order to obtain a true solid body for the numerical modeling on part’s mechanical behavior. The true solid body will include manufacturing defects and imperfection, thus eliminating some geometrical errors inherent to the modeling process when using computer generated geometries. The quantification of pore-size distribution was also of interest, since it affects both the MFIS in polycrystalline NiMnGa parts, as well as the structural resistance, including the fatigue behavior and failure mechanism of the 3D printed component. Therefore, in order to understand the functional and structural behavior