Work

Modifying the prediction model for conductivity in binary magnesium alloys: Incorporating the effect of second-phase conductivity

Year: 2025

Type: article

Abstract: We proposed a model published in JMRT ( 2023 , 27 : 5924–5934 ) for designing and evaluating Mg alloys’ conductivity. However, subsequent research revealed that this model was inapplicable to Mg–Cu alloys, as the calculated values were significantly lower than the measured values due to the model’s neglect of the conductivity of second-phase in alloys. By studying the effect of the second phase’s conductivity in Mg-X (X = Cu, Sr, Al, Zn, Sn, and Ca) alloys, we concluded that the second phase’s conductivity significantly impacts the alloy’s overall conductivity, showing a positive correlation between the two. Based on these insights and experimental data from six binary Mg alloy systems, we propose a new-version model that incorporates the second phase’s conductivity. Compared to the initial model, the predictions of this new model were closer to the actual measured values across a broader range of experimental data. • The second phase’s conductivity cannot be ignored when studying the overall conductivity of alloys. • There is a positive correlation between the second phase’s conductivity and the overall conductivity of alloys. • Proposed a new predictive model of binary Mg alloys’ conductivity, which has better applicability compared to initial one.

Source: Journal of Materials Research and Technology

DOI: 10.1016/j.jmrt.2025.03.127