Modified embedded-atom method interatomic potentials for Al-Cu, Al-Fe and Al-Ni binary alloys: From room temperature to melting point

被引:39
|
作者
Mahata, Avik [1 ]
Mukhopadhyay, Tanmoy [2 ]
Zaeem, Mohsen Asle [3 ]
机构
[1] Brown Univ, Sch Engn, Providence, RI 02912 USA
[2] Indian Inst Technol Kanpur, Dept Aerosp Engn, Kanpur, Uttar Pradesh, India
[3] Colorado Sch Mines, Dept Mech Engn, Golden, CO 80401 USA
基金
美国国家科学基金会;
关键词
Interatomic potentials; Binary aluminum alloys; Melting; Molecular dynamics; AB-INITIO CALCULATIONS; EQUATION-OF-STATE; MOLECULAR-DYNAMICS; CRYSTAL NUCLEATION; THERMODYNAMIC ASSESSMENT; ATOMISTIC CALCULATIONS; ALUMINUM-COPPER; LIQUID COPPER; 1ST-PRINCIPLES; SOLIDIFICATION;
D O I
10.1016/j.commatsci.2021.110902
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Second nearest neighbor modified embedded-atom method (2NN-MEAM) interatomic potentials are developed for binary aluminum (Al) alloys applicable from room temperature to the melting point. The binary alloys studied in this work are Al-Cu, Al-Fe and Al-Ni. Sensitivity and uncertainty analyses are performed on potential parameters based on the perturbation approach. The outcome of the sensitivity analysis shows that some of the MEAM parameters interdependently influence all MEAM model outputs, allowing for the definition of an ordered calibration procedure to target specific MEAM outputs. Using these 2NN-MEAM interatomic potentials, molec-ular dynamics (MD) simulations are performed to calculate low and high-temperature properties, such as the formation energies of stable phases and unstable intermetallics, lattice parameters, elastic constants, thermal expansion coefficients, enthalpy of formation of solids, liquid mixing enthalpy, and liquidus temperatures at a wide range of compositions. The computed data are compared with the available first principle calculations and experimental data, showing high accuracy of the 2NN-MEAM interatomic potentials. In addition, the liquidus temperature of the Al binary alloys is compared to the phase diagrams determined by the CALPHAD method.
引用
收藏
页数:11
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