Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.

MDR Open Deposited

We implemented an active learning pipeline assisted by machine learning and Bayesian optimization (ALMLBO) for predicting magnetic properties (coercivity, remanence, squareness) of Nd-Fe-B anisotropic magnets fabricated by direct hot extrusion, using a fixed commercial Nd14Fe76Co3.4B6Ga0.6 (at%) powder (MQU-F™), from their process parameters, and propose optimal processing leading to high coercivity and remanence, simultaneously. ALMLBO allowed us to optimize the process to exhibit high coercivity, 𝞵0Hc ~ 1.7 T, and remanence, 𝞵0Br ~ 1.4 T, resulting in an excellent maximum energy product, (BH)max ~ 380 kJ/m3. Therefore, the following dataset contains the process parameters (hot-press temperature and load; hot extrusion temperature, ram speed, and load limit; the identification number of the dies used at the extrusion exit) as well as the magnetic properties (coercivity, remanence, squareness, maximum energy product) of Nd-Fe-B anisotropic magnets, fabricated by direct hot extrusion, obtained before and during 3 cycles of ALMLBO.

Resource type
Data origin
  • Anisotropic permanent magnets fabricated by hot extrusion using a commercial Nd14Fe76Co3.4B6Ga0.6 (at%) powder (MQU-F™)
Date published
  • 11/10/2021
Rights statement
Licensed Date
  • 11/05/2021
Manuscript type
  • Accepted manuscript
Last modified
  • 11/10/2021
Characterization methods
Computational methods
Properties addressed
Synthesis and processing
Specimen type