Phase diagram of Fe-doped Ni-Mn-Ga ferromagnetic shape-memory alloys

Abstract

We have studied the effect of Fe addition on the structural and magnetic transitions in the magnetic shape memory alloy Ni-Mn-Ga by substituting systematically each atomic species by Fe. Calorimetric and AC susceptibility measurements have been carried out in order to study the magnetic and structural transformation properties. We find that the addition of Fe modifies the structural and magnetic transformation temperatures. Magnetic transition temperatures are displaced to higher values when Fe is substituted into Ni-Mn-Ga, while martensitic and premartensitic transformation temperatures shift to lower values. Moreover, it has been found that the electron per atom concentration essentially governs the phase stability in the quaternary system. However, the observed scaling of transition temperatures with $e/a$ differs from that reported in the related ternary system Ni-Mn-Ga.

arXiv comment8 pages, 8 figures. Accepted for publication in the Physical Review B

References in corpus (6)

• Magnetic superelasticity and inverse magnetocaloric effect in Ni-Mn-In
• Premartensitic transition driven by magnetoelastic interaction in bcc ferromagnetic $N{i}_{2}MnGa$
• Tailoring magnetic and magnetocaloric properties of martensitic transitions in ferromagnetic Heusler alloys
• Entropy change at the martensitic transformation in ferromagnetic shape memory alloys Ni_{2+x}Mn_{1-x}Ga
• Modeling Premartensitic effects in Ni2MnGa: A Mean Field and Monte Carlo Simulation Study
• Local Atomic Structure of Martensitic Ni${}_{2+x}$Mn${}_{1-x}$Ga: An EXAFS Study

Cited by in corpus (3)

• Effect of Fe and Co substitution on martensitic stability, elastic, electronic and magnetic properties of Mn${}_2$NiGa: insights from \textit{ab initio} calculations
• Ferromagnetic interactions and martensitic transformation in Fe doped Ni-Mn-In shape memory alloys
• Understanding the origin of the magneto-caloric effects in substitutional Ni-Mn-Sb-Z (Z=Fe, Co, Cu) compounds: insights from first-principles calculations