The MIVD method of optimal seeding state detection using image processing technology for sapphire crystal growth via the Kyropoulos method

Journal article (2020)

Authors

Yu Liu Taiyuan University of Technology
Tiezhu Qiao Taiyuan University of Technology
Yi Yang Taiyuan University of Technology
Haitao Zhang Taiyuan University of Technology
Y. Pang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Hong Chen Shanxi Zhongju Jingke Semiconductor Co.
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Spoke pattern Crystal quality Fréchet distance Multi-frame intercomparison visual detection (MIVD) Seeding state detection
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Published Date

2020

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

Abstract

The seeding technique is critical to the quality of the sapphire single crystal. The core of the seeding technique is the identification of seeding state. The MIVD method is proposed in the paper to detect the optimal seeding state. Compared with the OCS method, the MIVD method detects the characteristics of spoke pattern before a single point is formed on melt surface. Based on the similarity and periodicity of the melt motion, the optimal seeding state is detected by Fréchet distance. In the experiment, the MIVD method was compared with the OCS method and the artificial seeding method in terms of seeding efficiency and crystal quality. The MIVD method improves the quality of the sapphire crystal, at same time, it ensures seeding efficiency. The MIVD method is more suitable for practical production.