Effects of Co substitution for Fe on the glass forming ability and properties of Fe80P13C7 bulk metallic glasses

Xu, Kai; Ling, Haibo; Li, Qiang; Li, Jinfeng; Yao, Kefu; Guo, Shuyu

doi:10.1016/j.intermet.2014.03.003

Cited by 55 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The XRD patterns of the as-cast Fe 80-x M x P 13 C 7 (M = Co, Ni; x = 0, 5 and 10 at.%) alloy rods with the corresponding maximum diameters (D max ) for fully glass formation [19,20] are shown in Figure 1. There are only typical halo peaks and no crystalline peaks in the XRD patterns of all the samples, verifying the fully glassy phase formation.…”

Section: Resultsmentioning

confidence: 99%

Effect of Co/Ni Substituting Fe on Magnetocaloric Properties of Fe-Based Bulk Metallic Glasses

Guo

Xie

Liu

et al. 2021

Metals

Self Cite

View full text Add to dashboard Cite

In this work, Fe80-xMxP13C7 (M = Co, Ni; x = 0, 5 and 10 at.%) bulk metallic glasses (BMGs) were prepared, and the effect of the Co/Ni elements substitution for Fe on the magnetocaloric properties of Fe80P13C7 BMG has been investigated systematically. The Curie temperature (TC) of the present Fe-based BMGs increases with the substitution of Fe by Co/Ni. The magnetic entropy change (ΔSM) of the present Fe-based BMGs increases first and then decreases with the increase of Fe substituted by Co, but monotonically decreases with the increase of Fe substituted by Ni. Among the present Fe-based BMGs, the Fe75Co5P13C7 BMG exhibits the maximum ΔSM value of 5.21 J kg−1 K−1 at an applied field of 5 T, which is the largest value among Fe-based amorphous alloys without any rare earth elements reported so far. The present Fe-based BMGs exhibit the large glass forming ability, tunable TC and enhanced ΔSM value, which are beneficial for magnetic refrigerant materials.

show abstract

Section: Resultsmentioning

confidence: 99%

Effect of Co/Ni Substituting Fe on Magnetocaloric Properties of Fe-Based Bulk Metallic Glasses

Guo

Xie

Liu

et al. 2021

Metals

Self Cite

View full text Add to dashboard Cite

show abstract

“…We compiled the data including composition and properties, B s and crystallization temperature (T x ) for 252 Fe-based MGs [Supplementary data], which were previously reported in literature 2,[33][34][35][36][37][38][39][40][41][42][43][44][45] . Within the ML parlance, the former, i.e., the alloys, is referred to as "input", and the latter, i.e., the properties such as B s and T x , is referred to as the "target" or "output".…”

Section: Model Optimizationmentioning

confidence: 99%

Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses

Chen

Liu

et al. 2020

npj Comput Mater

View full text Add to dashboard Cite

Fe-based metallic glasses (MGs) have been extensively investigated due to their unique properties, especially the outstanding soft-magnetic properties. However, conventional design of soft-magnetic Fe-based MGs is heavily relied on “trial and error” experiments, and thus difficult to balance the saturation flux density (Bs) and thermal stability due to the strong interplay between the glass formation and magnetic interaction. Herein, we report an eXtreme Gradient Boosting (XGBoost) machine-learning (ML) model for developing advanced Fe-based MGs with a decent combination of Bs and thermal stability. While it is an attempt to apply ML for exploring soft-magnetic property and thermal stability, the developed XGBoost model based on the intrinsic elemental properties (i.e., atomic size and electronegativity) can well predict Bs and Tx (the onset crystallization temperature) with an accuracy of 93.0% and 94.3%, respectively. More importantly, we derived the key features that primarily dictate Bs and Tx of Fe-based MGs from the ML model, which enables the revelation of the physical origins underlying the high Bs and thermal stability. As a proof of concept, several Fe-based MGs with high Tx (>800 K) and high Bs (>1.4 T) were successfully developed in terms of the ML model. This work demonstrates that the XGBoost ML approach is interpretable and feasible in the extraction of decisive parameters for properties of Fe-based magnetic MGs, which might allow us to efficiently design high-performance glassy materials.

show abstract

“…Other investigations also confirmed that the Ni addition just has positive effects on the glass formation of Fe-based systems. [22,23] In several studies, it was showed that Co element is also suitable for improving GFA and plasticity of Fe-P-C alloy and creates an optimized J s in the range of 1.5 T-1.6 T. [24,25] As aforementioned, there are several investigations focusing on the effects of added elements into the Fe-P-C alloys. However, few works have been done to systematically show the effects of multiple microalloying elements on the final properties.…”

Section: Introductionmentioning

confidence: 99%

Role of compositional changes on thermal, magnetic, and mechanical properties of Fe-P-C-based amorphous alloys

Raya¹,

Chupradit²,

Kadhim³

et al. 2022

Chinese Phys. B

View full text Add to dashboard Cite

This work aimed to tune the comprehensive properties of Fe-P-C-based amorphous system through investigating the role of microalloying process on the crystallization behavior, glass forming ability (GFA), soft magnetic features, and mechanical properties. Considering minor addition of elements into the system, it was found that the simultaneous microalloying of Ni and Co leads to the highest GFA, which was due to the optimization of compositional heterogeneity and creation of near-eutectic composition. Moreover, the FeCoNiCuPC amorphous alloy exhibited the best anelastic/viscoplastic behavior under the nanoindentation test, which was owing to the intensified structural fluctuations in the system. However, the improved plasticity by the extra Cu addition comes at the expense of magnetic properties, so that the saturation magnetization of this alloying system is significantly decreased compared to the FeCoPC amorphous alloy with the highest soft magnetic properties. In total, the results indicated that a combination of added elemental constitutes, i.e., Fe69Co5Ni5Cu1P13C7 composition, provides an optimized state for the comprehensive properties in the alloying system.

show abstract

Effects of Co substitution for Fe on the glass forming ability and properties of Fe80P13C7 bulk metallic glasses

Cited by 55 publications

References 26 publications

Effect of Co/Ni Substituting Fe on Magnetocaloric Properties of Fe-Based Bulk Metallic Glasses

Effect of Co/Ni Substituting Fe on Magnetocaloric Properties of Fe-Based Bulk Metallic Glasses

Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses

Role of compositional changes on thermal, magnetic, and mechanical properties of Fe-P-C-based amorphous alloys

Contact Info

Product

Resources

About