Three-dimensional numerical simulation of oxide melt flow in Czochralski configuration

2000 ◽  
Vol 216 (1-4) ◽  
pp. 372-388 ◽  
Author(s):  
C.J Jing ◽  
N Imaishi ◽  
T Sato ◽  
Y Miyazawa
Keyword(s):  
Numerical Simulation ◽  
Three Dimensional ◽  
Melt Flow ◽  
Oxide Melt

Three-dimensional numerical simulation of rotating spoke pattern in an oxide melt under a magnetic field

2000 ◽  
Vol 43 (23) ◽  
pp. 4347-4359 ◽  
Author(s):  
C.J. Jing ◽  
N. Imaishi ◽  
S. Yasuhiro ◽  
T. Sato ◽  
Y. Miyazawa
Keyword(s):  
Magnetic Field ◽  
Numerical Simulation ◽  
Three Dimensional ◽  
Oxide Melt

Numerical simulation and experiment validation of level-pour direct-chill casting of A390 alloy hollow billets under different feeding schemes

2016 ◽  
Vol 26 (6) ◽  
pp. 1871-1888 ◽  
Author(s):  
Kesheng Zuo ◽  
Haitao Zhang ◽  
Ke Qin ◽  
Jianzhong Cui
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Three Dimensional ◽  
Direct Chill ◽  
Melt Flow ◽  
Content Type ◽  
Primary Si ◽  
Hollow Billet ◽  
Dc Casting ◽  
A390 Alloy

Purpose – The purpose of this paper is to study the effect of feeding scheme on melt flow and temperature field during the steady-state of level-pour direct-chill (DC) casting of A390 alloy hollow billet and optimize the design of feeding scheme. Design/methodology/approach – Melt flow and temperature field are investigated by numerical simulation, which is based on a three-dimensional mathematical model and well verified by experiments. Findings – The numerical results reveal that both melt flow and temperature field are obviously affected by the feeding scheme. The homogeneity of melt flow and temperature field in hollow billet with the feeding scheme of modified four inlets are better than the other feeding schemes. Experimental results show that crack can be eliminated by increasing the number of feeding inlets. The primary Si size appears unaffected while the distribution of primary Si particles is highly affected by the change of feeding scheme. Only with the feeding scheme of modified four inlets can fine and uniformly distributed primary Si particles be achieved. Practical implications – The paper includes implications for the design of feeding scheme in level-pour DC casting of hollow billet for practical use. Originality/value – This paper develops different feeding schemes for level-pour DC casting of hollow billet and optimizes the design of feeding scheme.

Three-dimensional numerical simulation of spoke pattern in oxide melt

1999 ◽  
Vol 200 (1-2) ◽  
pp. 204-212 ◽  
Author(s):  
C.J Jing ◽  
N Imaishi ◽  
S Yasuhiro ◽  
Y Miyazawa
Keyword(s):  
Numerical Simulation ◽  
Three Dimensional ◽  
Oxide Melt

scholarly journals Optimal Control of SiC Crystal Growth in the RF-TSSG System Using Reinforcement Learning

Crystals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 791
Author(s):  
Lei Wang ◽  
Atsushi Sekimoto ◽  
Yuto Takehara ◽  
Yasunori Okano ◽  
Toru Ujihara ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Growth Rate ◽  
Reinforcement Learning ◽  
Marangoni Convection ◽  
Three Dimensional ◽  
Development Cost ◽  
Rf Coil ◽  
Melt Flow ◽  
2D Numerical Simulation ◽  
Top Seeded Solution Growth

We have developed a reinforcement learning (RL) model to control the melt flow in the radio frequency (RF) top-seeded solution growth (TSSG) process for growing more uniform SiC crystals with a higher growth rate. In the study, the electromagnetic field (EM) strength is controlled by the RL model to weaken the influence of Marangoni convection. The RL model is trained through a two-dimensional (2D) numerical simulation of the TSSG process. As a result, the growth rate under the control of the RL model is improved significantly. The optimized RF-coil parameters based on the control strategy for the 2D melt flow are used in a three-dimensional (3D) numerical simulation for model validation, which predicts a higher and more uniform growth rate. It is shown that the present RL model can significantly reduce the development cost and offers a useful means of finding the optimal RF-coil parameters.

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