Projects per year
Abstract
The burner of outside vapor deposition (OVD) is of great significance for enhancing the yields and quality of the optical fiber preform. This study aims to numerically investigate the effects of the burner on silica particles formation and its corresponding deposition performance in the OVD process. This work is based on our recently developed integrated Eulerian-Eulerian multiphase OVD process model combined with a particle nucleation model. The effects of the distance between the burner and target, the horizontal offset of the target to the burner, the shape of burners, swirl burners as well as double burners are investigated. The results demonstrate that there exists an optimal value for the distance between the burner and target to yield the largest deposition efficiency. However, the deposition efficiency monotonically declines as the horizontal offset of the target to the burner increases. The elliptic burner potentially provides a better match with the target surface for particle deposition. An optimal number of helical vanes installed inside the O2–1 inlet is observed in the counter-swirling burner of O2–1 and H2 inlets, which yields the largest deposition efficiency of 33.4%. Double burners could promote the deposition rate, but could not enhance the particle deposition efficiency. The results provide a deeper understanding of the burner design and OVD process optimization.
Original language | English |
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Article number | 119148 |
Number of pages | 19 |
Journal | Powder Technology |
Volume | 433 |
DOIs | |
Publication status | Published - 15 Jan 2024 |
Keywords
- Burner geometry
- Double burners
- Outside vapor deposition
- Swirl burner
Projects
- 1 Finished
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ARC Research Hub for Computational Particle Technology
Yu, A. (Primary Chief Investigator (PCI)), Zhao, D. (Chief Investigator (CI)), Rudman, M. (Chief Investigator (CI)), Jiang, X. (Chief Investigator (CI)), Selomulya, C. (Chief Investigator (CI)), Zou, R. (Chief Investigator (CI)), Yan, W. (Chief Investigator (CI)), Zhou, Z. (Chief Investigator (CI)), Guo, B. (Chief Investigator (CI)), Shen, Y. (Chief Investigator (CI)), Kuang, S. (Primary Chief Investigator (PCI)), Chu, K. (Chief Investigator (CI)), Yang, R. (Chief Investigator (CI)), Zhu, H. (Chief Investigator (CI)), Zeng, Q. (Chief Investigator (CI)), Dong, K. (Chief Investigator (CI)), Strezov, V. (Chief Investigator (CI)), Wang, G. (Chief Investigator (CI)), Zhao, B. (Chief Investigator (CI)), Song, S. (Partner Investigator (PI)), Evans, T. J. (Partner Investigator (PI)), Mao, X. (Partner Investigator (PI)), Zhu, J. (Partner Investigator (PI)), Hu, D. (Partner Investigator (PI)), Pan, R. (Partner Investigator (PI)), Li, J. (Partner Investigator (PI)), Williams, S. R. O. (Partner Investigator (PI)), Luding, S. (Partner Investigator (PI)), Liu, Q. (Partner Investigator (PI)), Zhang, J. (Chief Investigator (CI)), Huang, H. (Chief Investigator (CI)), Jiang, Y. (Chief Investigator (CI)), Qiu, T. (Partner Investigator (PI)), Hapgood, K. (Chief Investigator (CI)) & Chen, W. (Partner Investigator (PI))
Australian Research Council (ARC), Jiangxi University of Science and Technology, Jiangsu Industrial Technology Research Institute, Fujian Longking Co Ltd, Baosteel Group Corporation, Hamersley Iron Pty Limited, Monash University, University of New South Wales (UNSW), University of Queensland , Western Sydney University (WSU), Macquarie University
31/12/16 → 30/12/21
Project: Research