Dataset for research paper entitled "Mechanical nitriding of titanium and its alloys as a feedstock for the additive manufacturing of functionally graded materials"
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The dataset contains the experimental results obtained during nitriding of titanium and its alloys (Ti, Ti6Al4V and Ti5553) powder surfaces using a novel method called self-shearing reactive milling (SSRM) under a nitrogen pressure of 50 bar. The experiments were performed in a planetary ball mill for up to 10 hours without using any grinding balls at ambient temperature. The whole experiment is described in the article being submitted (reference will be given after acceptance). The files descriptions are given in a separate file. The dataset comprises raw and processed data used in this study, including: · temperature and nitrogen pressure values – collected during self-shearing reactive milling of Ti, Ti6Al4V and Ti5553 titanium alloys using a sensor (model TDWLB-DL, 200 bar range, 0.25 % of full range accuracy, Transducers Direct®, USA) integrated into the cylinder; · SEM data – images of the powder particles in the initial stage, after different time of self-shearing reactive milling and their cross-section microstructure; · chemical composition analysis – linear change in chemical composition performed for cross-section powder particles using scanning electron microscope FEI Quanta 3D equipped with energy dispersive spectroscopy EDS; · X-ray diffraction phase analysis - carried out for different times of self-shearing reactive milling under nitrogen pressure of pure titanium (TiGd1), Ti6Al4V, and Ti5553 powders using a Rigaku Ultima IV diffractometer equipped with Co Kα X-ray source; · Raman spectroscopy data – acquired to track surface composition changes of powders after reactive milling at different times; spectra were collected with a Renishaw inVia Reflex system (785 nm, ~6 mW, 100× objective from 10 random points per sample); · elemental analysis data – obtained for Ti, Ti6Al4V and Ti5553 titanium powders; in particular, nitrogen content (wt.%) was determined for samples milled for different durations using a Vario EL Cube analyzer (Elementar GmbH).



