Dendritic and seaweed growth of proeutectic scandium tri-aluminide in hypereutectic Al-Sc undercooled melt

2020 ◽  
Vol 200 ◽  
pp. 56-65
Author(s):  
Aoke Jiang ◽  
Xiaoming Wang
Keyword(s):  
Undercooled Melt

Quantitative Microstructural Analysis of a Ni-based Superalloy After Different Heat Treatments

2020 ◽  
Vol 70 (12) ◽  
pp. 4519-4524
Keyword(s):  
Heat Treatment ◽  
Internal Structure ◽  
Microstructural Analysis ◽  
Temperature Treatment ◽  
Heat Treatments ◽  
Metal Melts ◽  
Metallic Inclusions ◽  
Undercooled Melt ◽  
Super Alloy

The efficiency of time-temperature treatment (T-TT) on metal melts can be microstructurally analysed through their degree of purity in non-metallic inclusions. In the case of the Ni-based super alloy under discussion (MSRR 7045) the heat treatment was the undercooling consequences both on the durability of the casting environment (ingots-refractories) and on the internal structure of the metal (porosity, microstructural isotropy). Keywords: time-temperature treatment, undercooled melt, non-metallic inclusions, purity, microstructural isotropy

Solidifcation of undercooled melt of Mg-Cu alloy entrapped in its primary phase

1992 ◽  
Vol 11 (18) ◽  
pp. 1260-1262 ◽  
Author(s):  
O. P. Pandey ◽  
S. N. Ojha ◽  
T. R. Anantharaman
Keyword(s):  
Primary Phase ◽  
Cu Alloy ◽  
Undercooled Melt

Numerical Simulation of Solidified Structure Formation of Al-Si Alloy Casting Using Cellular Automaton Method

2008 ◽  
Vol 575-578 ◽  
pp. 154-163 ◽  
Author(s):  
Kenichi Ohsasa ◽  
Kiyotaka Matsuura ◽  
Kazuya Kurokawa ◽  
Seiichi Watanabe
Keyword(s):  
Numerical Simulation ◽  
Cellular Automaton ◽  
Structure Formation ◽  
Nucleation Rate ◽  
Heterogeneous Nucleation ◽  
Big Bang ◽  
Grain Structure ◽  
Alloy Casting ◽  
Undercooled Melt ◽  
Columnar To Equiaxed Transition

For the purpose of the prediction of casting structures, heterogeneous nucleation rate in the undercooled melt of solififying Al-Si alloys were evaluated by comparing experimentally observed macrostructures of solidified ingots with numerically simulated ones. Molten alloys were unidirectionally solidified in an adiabatic mold from a steel chill block located at the bottom of the mold. In the experiment, columnar to equiaxed transition (CET) was observed. A numerical simulation for grain structure formation of the sample ingots was carried out using a cellular automaton (CA) method, and heterogeneous nucleation rate in the solidifying alloys were evaluated by producing the similar structures to experimental ones. An attempt was made to predict the grain structure of conventionally cast ingots using the evaluated heterogeneous nucleation rate. However, the simulation could not predict the structure of ingot with low superheat due to crystal multiplication near the mold wall. The crystal multiplication mechanism, so-called "Big Bang mechanism", was introduced into the simulation and the simulation could predict the grain macrostructure composed of columnar and equiaxed crystals that were similar to experimentally observed one.

Phase-Field Simulation of Three-Dimensional Dendritic Growth

2010 ◽  
Vol 97-101 ◽  
pp. 3769-3772 ◽  
Author(s):  
Chang Sheng Zhu ◽  
Jun Wei Wang
Keyword(s):  
Computational Methods ◽  
Phase Field ◽  
Interfacial Energy ◽  
Dendritic Growth ◽  
Field Model ◽  
Three Dimensional ◽  
Phase Field Model ◽  
Computational Time ◽  
Field Simulation ◽  
Undercooled Melt

Based on a thin interface limit 3D phase-field model by coupled the anisotropy of interfacial energy and self-designed AADCR to improve on the computational methods for solving phase-field, 3D dendritic growth in pure undercooled melt is implemented successfully. The simulation authentically recreated the 3D dendritic morphological fromation, and receives the dendritic growth rule being consistent with crystallization mechanism. An example indicates that AADCR can decreased 70% computational time compared with not using algorithms for a 3D domain of size 300×300×300 grids, at the same time, the accelerated algorithms’ computed precision is higher and the redundancy is small, therefore, the accelerated method is really an effective method.

scholarly journals Coupled Growth Zone of the Al2O3-YAG Eutectic System in the Undercooled Melt

2002 ◽  
Vol 66 (1) ◽  
pp. 9-15 ◽  
Author(s):  
Yoshiki Mizutani ◽  
Hideyuki Yasuda ◽  
Itsuo Ohnaka ◽  
Nobuhiro Maeda ◽  
Yoshiharu Waku
Keyword(s):  
Growth Zone ◽  
Eutectic System ◽  
Undercooled Melt ◽  
Coupled Growth

The effect of far field flow on a spherical crystal growth in the undercooled melt

2008 ◽  
Vol 24 (6) ◽  
pp. 681-689 ◽  
Author(s):  
Mingwen Chen ◽  
Zidong Wang ◽  
Jianxin Xie ◽  
Jian-Jun Xu
Keyword(s):  
Crystal Growth ◽  
Far Field ◽  
Undercooled Melt ◽  
Spherical Crystal

scholarly journals Modeling of dendrite growth in undercooled solution sodium acetate trihydrate

2019 ◽  
Vol 128 ◽  
pp. 01023
Author(s):  
Chanchal Kumar ◽  
Aniket D. Monde ◽  
Anirban Bhattacharya ◽  
Prodyut R. Chakraborty
Keyword(s):  
Sodium Acetate ◽  
Exothermic Reaction ◽  
Interface Temperature ◽  
Sodium Acetate Trihydrate ◽  
Crystal Anisotropy ◽  
Acetate Trihydrate ◽  
Undercooled Melt ◽  
Control Volumes ◽  
Solid Liquid Interface ◽  
Solid Liquid

The sodium acetate trihydrate is commonly used as energy storage phase change material in heating pads for body or hand warmer in cold climates. The undercooled melt of sodium acetate trihydrate kept at room temperature results in an exothermic reaction when solidification seed is nucleated. In presentwork, modeling of denritic growth in an undercooled solution of sodium acetate trihydrate has been carried out. The enthalpy method has been used to compute solid-liquid interface growing in undercooled melt. The interface temperature, concentration and grain growth have been modeled considering curvatureeffect and solutal undercooling. A 2-D computational grid of square control volumes has been used and discreatized governing equations were solved explicitly. The crystal anisotropy was imposed explicitly. The results are validated using experimental data.

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