Print Email Facebook Twitter 基于视觉辐条图案识别方法的蓝宝石引晶机制研究 Title 基于视觉辐条图案识别方法的蓝宝石引晶机制研究 Author Chen, Chen (Taiyuan University of Technology) Qiao, Tiezhu (Taiyuan University of Technology) Pang, Y. (TU Delft Transport Engineering and Logistics) Hao, Guirong (Shanxi Zhongjujingke Semiconductor Co.) Date 2022 Abstract In the process of industrial production of sapphire crystals, the seeding step plays a vital role. Seeding needs to be performed under conditions where the temperature gradient is small and the temperature distribution tends to be stable. At present, the industrial production of sapphire mainly relies on manual experience to control the seed rod to achieve the crystal pilot operation, but the low accuracy of manual pilot operation will lead to poor quality of finished products and waste of resources. Therefore, this paper proposes a method based on sapphire visual spokes pattern recognition method to detect the free liquid surface state of sapphire melt, so as to realize an efficient crystal induction mechanism. In this method, classic skeletoning algorithm was used to refine the spoke pattern, and Harris operator was used to extract the characteristic information. The extracted characteristic information was put into the motion trajectory model to judge the stability of the melt, and the stability of the temperature distribution of the liquid surface was analyzed to achieve crystal induction. Experimental results show that this algorithm is effective, the efficiency of sapphire crystal seeding is greatly improved, and the yield of the finished product is also improved, which can effectively guide the industrial production of sapphire. Subject Feature informationMotion tracePattern recognitionSapphireSeedingSkeletonization algorithmSpoke patternTemperature gradient To reference this document use: http://resolver.tudelft.nl/uuid:fe981aca-7232-4b1a-b894-eef680557abd Embargo date 2023-07-01 ISSN 1000-985X Source Rengong Jingti Xuebao/Journal of Synthetic Crystals, 51 (2), 256-262 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 Chen Chen, Tiezhu Qiao, Y. Pang, Guirong Hao Files PDF 2022_02_0256.pdf 3.7 MB Close viewer /islandora/object/uuid:fe981aca-7232-4b1a-b894-eef680557abd/datastream/OBJ/view