Published September 1, 2017 | Version v1
Journal article

Composition dependence of diffusion and thermotransport in Ni-Al melts: A step towards molecular dynamics assisted databases

  • 1. School of Mathematical and Physical Sciences, The University of Newcastle, Callaghan, NSW 2308 (Australia)
  • 2. School of Engineering, The University of Newcastle, Callaghan, NSW 2308 (Australia)

Description

We present an extensive and self-consistent database of diffusion and thermotransport properties of molecular-dynamics models of Ni-Al melts with an embedded-atom method potential. The database is generated over wide temperature and composition ranges. A careful comparison with available fragmentary experimental data is made to ensure reliability of the employed model description of Ni-Al melts. A comprehensive analysis of the presented data is carried out and the emerging trends are discussed in details. In particular, a phenomenological model for the composition dependence of the enthalpy of mixing is introduced. This model accurately describes our simulation data for Ni-Al melts as well as enables an ease access to the partial enthalpies of species essential for precise characterization of thermotransport. Furthermore, an intriguing similarity between the shapes of the composition dependence of the Manning factor (which characterizes the interrelation between the collective and single-particle diffusion) and the enthalpy of mixing in Ni-Al melts is brought to attention. Meanwhile, our results for the reduced heat of transport (which characterizes the pure heat conduction initiated by collective diffusion in isothermal conditions) allow us to predict that, in Ni-Al melts, Ni and Al tend to migrate, respectively, to the cold and hot ends in the presence of a temperature gradient. Overall, we highlight a great importance of the presented study for developing and testing of theoretical frameworks to enable sophisticated control of the heat and mass transport in binary melts.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.actamat.2017.06.056

Additional details

Identifiers

DOI
10.1016/j.actamat.2017.06.056;
PII
S1359-6454(17)30532-3;

Publishing Information

Journal Title
Acta Materialia
Journal Volume
136
Journal Issue
Complete
Journal Page Range
p. 74-89
ISSN
1359-6454
CODEN
ACMAFD

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49045631
Subject category
S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
EXPERIMENTAL DATA; MIXING HEAT; MOLECULAR DYNAMICS METHOD; SIMULATION; TEMPERATURE GRADIENTS; THERMAL CONDUCTION
Descriptors DEC
CALCULATION METHODS; DATA; ENERGY TRANSFER; ENTHALPY; HEAT TRANSFER; INFORMATION; NUMERICAL DATA; PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.