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Journal of Synthetic Crystals ›› 2026, Vol. 55 ›› Issue (3): 475-485.DOI: 10.16553/j.cnki.issn1000-985x.2025.0195

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Numerical Simulation of Multi-Parameter Control of Gas Flow Patterns During Chemical Vapor Deposition of ZnS

WANG Hu1(), ZHAO Xiaobo1(), YAN Hao2, LU Zhichen1, CAO Yancui3, ZHANG Shaofeng1, SHI Lin2, MA Pengfei1   

  1. 1.Sinoma Synthetic Crystals (Shandong) Co. ,Ltd. ,Jinan 250200,China
    2.CNNC No. 7 Research and Design Institute Co. ,Ltd. ,Taiyuan 030032,China
    3.Sinoma Synthetic Crystals Co. ,Ltd. ,Beijing 100018,China
  • Received:2025-09-08 Online:2026-03-20 Published:2026-04-08
  • Contact: ZHAO Xiaobo

Abstract: Numerical simulation studies on gas flow patterns in the deposition chamber during chemical vapor deposition (CVD) of zinc sulfide (ZnS) were conducted using FLUENT software. Focusing on the flow characteristics of zinc(Zn) vapor and hydrogen sulfide (H2S) gas, a three-dimensional physical model of the deposition chamber was established, and the distribution characteristics of the gas flow field under the synergistic effects of various process parameters were systematically analyzed. The study emphasized the distribution of gas flow patterns, density flow fields, velocity flow fields, and the evolution of temperature fields under parameters such as chamber pressure and reactant inlet velocity. It aims to reveal how gas flow patterns influence the uniformity of ZnS deposition rates and the quality of material growth. Results indicate that as the deposition pressure increases from 3 000 Pa to 6 000 Pa and the nozzle velocity synchronously increases, the gas flow patterns in the deposition chamber exhibit a synergistic evolution trend of “disordered-ordered-stable-instable”. This work provides a theoretical basis and process optimization directions for the controllable growth of high-quality ZnS materials, and offers significant guiding value for the preparation of infrared optical materials.

Key words: ZnS; vapor deposition; numerical simulation; gas flow pattern; pressure regulation; inlet optimization; growth rate

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