Abstract
The heterogeneous melting kinetics of polycrystalline aluminum is investigated by a theoretical model which represents the overall melting rate as a functional of the Weibull grain-size-distribution. It is found that the melting process is strongly affected by the mean-grain-diameter, but is insensitive to the shape parameter of the Weibull distribution. The temperature-time-transformation (TTT) diagrams are calculated to probe dependence of the characteristic timescale of melting on the overheating temperature and the mean-grain-diameter. The model predicts that the heterogeneous melting time of polycrystalline aluminum exponentially depends on temperature in high temperature range and the exponent constant is an intrinsic material constant independent of the mean-grain-diameter. Comparisons between TTT diagrams of heterogeneous melting and homogenous melting are also provided.
Highlights
In single crystals under high heating rate, materials may melt through random nucleation and growth of liquid phase in the crystals
The mechanisms and kinetics of heterogeneous melting have been extensively studied by experiments, theories and molecular dynamics simulations, resulting in a well-established framework for semi-empirical description of the kinetics of the melting process [1,2,3,4,5,6,7,8]
By applying the model to polycrystalline Al, we found that the melting process is strongly affected by the mean-graindiameter, but is insensitive to the shape parameter of the Weibull distribution
Summary
Citation: Liao Y, Xiang M, Zhu X, Chen J, Tian X, Ge L (2020) Heterogeneous melting kinetics in polycrystalline aluminum. PLoS ONE 15(3): e0230028. https://doi.org/10.1371/journal. pone.0230028 Data Availability Statement: All relevant data are within the manuscript and its Supporting Information files. Funding: National Natural Science Foundation of China (No 11772068, No.51874255, No.51974273), Scientific Research Starting Project of SWPU (No.2018QHZ012), Downhole Intelligent Measurement and Control Science and Technology Innovation Team of Southwest Petroleum University(No 2018CXTD04)and International Science and Technology Cooperation and Exchange Research Project of Sichuan Province
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