<p>The amorphous Gd<sub>80</sub>Au<sub>20</sub> alloy, synthesized by melt-spinning, was systematically studied for its magnetocaloric performance through experimental measurements and theoretical modeling. Magnetic measurements revealed the existence of a ferromagnetic (FM) to paramagnetic (PM) transition, exhibiting a second-order magnetic phase transition at T<sub>C</sub> = 140&#xa0;K. Under a magnetic field variation of 0–5T, the maximum isothermal magnetic entropy change, relative cooling power (RCP), and temperature-averaged entropy change (10&#xa0;K-lift) for Gd<sub>80</sub>Au<sub>20</sub> alloy are identified as 5.91&#xa0;J kg⁻¹ K⁻¹, 393.00&#xa0;J kg⁻¹, and 5.91&#xa0;J kg⁻¹ K⁻¹, respectively. A phenomenological model, incorporating temperature and field-dependent parameters, was developed to predict these properties, showing excellent agreement with experimental data derived from Maxwell’s thermodynamic relations. These results support the model’s reliability.</p>

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Enhanced magnetocaloric performance of amorphous Gd80Au20 alloy: experimental characterization and phenomenological modeling

  • S. El Ouahbi,
  • M. Lassri,
  • B. El Ouahbi,
  • W. Belayachi,
  • M. Abouricha

摘要

The amorphous Gd80Au20 alloy, synthesized by melt-spinning, was systematically studied for its magnetocaloric performance through experimental measurements and theoretical modeling. Magnetic measurements revealed the existence of a ferromagnetic (FM) to paramagnetic (PM) transition, exhibiting a second-order magnetic phase transition at TC = 140 K. Under a magnetic field variation of 0–5T, the maximum isothermal magnetic entropy change, relative cooling power (RCP), and temperature-averaged entropy change (10 K-lift) for Gd80Au20 alloy are identified as 5.91 J kg⁻¹ K⁻¹, 393.00 J kg⁻¹, and 5.91 J kg⁻¹ K⁻¹, respectively. A phenomenological model, incorporating temperature and field-dependent parameters, was developed to predict these properties, showing excellent agreement with experimental data derived from Maxwell’s thermodynamic relations. These results support the model’s reliability.