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

Yu Liu, Tiezhu Qiao, Yi Yang, Haitao Zhang, Yusong Pang, Hong Chen

Research output: Contribution to journalArticleScientificpeer-review

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.

Original languageEnglish
Article number107186
Number of pages11
JournalMeasurement: Journal of the International Measurement Confederation
Volume151
DOIs
Publication statusPublished - 2020

Keywords

  • Crystal quality
  • Fréchet distance
  • Multi-frame intercomparison visual detection (MIVD)
  • Seeding state detection
  • Spoke pattern

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