Hydrodynamics of Continuous Spiral Dryer with Rotatory Conical Sleeves: Experiments versus CFD Simulations

Xiaojing Wang , Yuankui Li , Dongyun Ma , Yaqian Liu , Yiping Huang , Fengxiang Qin

Transactions of Tianjin University ›› 2017, Vol. 23 ›› Issue (6) : 511 -520.

PDF
Transactions of Tianjin University ›› 2017, Vol. 23 ›› Issue (6) : 511 -520. DOI: 10.1007/s12209-017-0071-0
Research Article

Hydrodynamics of Continuous Spiral Dryer with Rotatory Conical Sleeves: Experiments versus CFD Simulations

Author information +
History +
PDF

Abstract

In this study, a continuous and airtight twin-spiral dryer was developed in accordance with the characteristics and challenges in the process of disposing polysilicon slurry. Computational fluid dynamics (CFD) simulations were used to investigate the flow field in the rotating twin-spiral continuous dryer and an original discrete phase model was also elaborated to compare with the cold-modeling experimental results. The corresponding flow field was obtained using the available inlet velocity of 0.05–0.3 m/s and the rotational speed of the inner cone of 12–44 r/min, the residence time distribution, and tracked particles trajectory. Results showed that the residence time of the tracer particles in the cone cylinder was about 15.8–25.4% of the time spent out of it, and the particle’s residence time was much shorter in contrast to the rotational speed and inlet velocity. The external ribbon had a larger influence on the fluid, thereby leading to a larger velocity in the region outside the cone compared to that in the region inside the cone. In addition, the appearance of the vortex and boundary layer separation at the back of the ribbon and the spoke bar had secondary diversion effects on the fluid. Furthermore, the inlet velocity had little influence on the flow field while the rotational speed of the cone greatly affected the flow field. Hence, the CFD simulations showed good agreement with the experimental results.

Keywords

Polysilicon slurry / Continuous dryer / Cold-modeling experiment / CFD / DPM / RTD

Cite this article

Download citation ▾
Xiaojing Wang, Yuankui Li, Dongyun Ma, Yaqian Liu, Yiping Huang, Fengxiang Qin. Hydrodynamics of Continuous Spiral Dryer with Rotatory Conical Sleeves: Experiments versus CFD Simulations. Transactions of Tianjin University, 2017, 23(6): 511-520 DOI:10.1007/s12209-017-0071-0

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Bu XP. Market status and development trend of silicon industry. Chem Ind, 2008, 26(7): 32-41 (in Chinese)

[2]

Ran Y, Lan TS, Qin P, et al. Silicon tetrachloride direct reduction to polysilicon in the plasma system. J Synth Cryst, 2007, 36(4): 828-831 (in Chinese)

[3]

Wen Y, Hu YD, Shan TL. Improvements of separating process in polycrystalline silicon production by modified Siemens arts and crafts. Chem Ind Eng, 2008, 25(2): 154-159 (in Chinese)

[4]

Seifert DA, Browning MF. Pilot-scale development of the zinc reduction process for production of high-purity silicon. Process Energy Met Miner, 1982, 218(78): 104-118.

[5]

Jamaleddine TJ, Ray MB. Application of computational fluid dynamics for simulation of drying processes: a review. Dry Technol, 2010, 28(2): 120-154.

[6]

Yang T. The discussion of the improved Siemens process for polysilicon in design. Guizhou Chem Ind, 2009, 34(3): 7-11 (in Chinese)

[7]

Liu G, Qin R, Liu SZ, et al. Improvement on rectification process of polycrystalline silicon by improved Siemens process. Nonferrous Metal (Extr Metall), 2013, 9: 56-59 (in Chinese)

[8]

Li QS, Wang XY. Optimization of the distillation process of trichlorosilane using the response surface method. J Beijing Univ Chem Technol (Nat Sci Edn), 2015, 42(1): 16-20 (in Chinese)

[9]

Li GD, Zhang XL, Hu YD. Thermodynamic analysis of production technology of electronic grade polycrystalline silicon. Chin J Process Eng, 2007, 7(3): 520-525 (in Chinese)

[10]

Jiang LX, Wan Y, Si WX, et al. A low energy-consumption distillation process for dealing with cold hydrogen material. Chem Enterp Manag, 2014, 12: 91-92 (in Chinese)

[11]

Pirayesh H, Cadien K. The effect of slurry properties on the CMP removal rate of boron doped polysilicon. ECS J Solid State Sci Technol, 2016, 5(5): 233-238.

[12]

Sun HY, Li T, Ying WY, et al. Experimental study on bubble behavior and CFD simulation of large-scale slurry bubble column reactor. Front Chem Sci Eng, 2010, 4(4): 515-522.

[13]

Jaskulski M, Wawrzyniak P, Zbicinski I. CFD model of particle agglomeration in spray drying. Dry Technol, 2015, 33(15/16): 1971-1980.

[14]

Keshani S, Montazeri MH, Daud WRW, et al. CFD modeling of air flow on wall deposition in different spray dryer geometries. Dry Technol, 2015, 33(7): 784-795.

[15]

Yakhot V, Orszag SA. Renormalization-group analysis of turbulence. I. Basic theory. J Sci Comput, 1986, 1(1): 3-51.

[16]

Zhang MH, Meng F, Geng ZF. CFD simulation on shell-and-tube heat exchangers with small-angle helical baffles. Front Chem Sci Eng, 2015, 9(2): 183-193.

[17]

Launder BE, Spalding DB. The numerical computation of turbulent flows. Comput Methods Appl Mech Eng, 1974, 3(2): 269-289.

[18]

Ebrahimifakhar M, Mohsenzadeh E, Moradi S, et al. CFD simulation of the hydrodynamics in an internal air-lift reactor with two different configurations. Front Chem Sci Eng, 2011, 5(4): 455-462.

[19]

Fluent Inc (2003) FLUENT user’s guide. USA

[20]

Lin JZ. Fluid-soild two-phase coherent vortex flow and hydrodynamic stability, 2003, Beijing: Tsinghua University Press.

[21]

Johnson KL. Contact mechanics, 1985, Cambridge: Cambridge University Press

[22]

Felzenszwalb PF, Girshick RB, McAllester D, et al. Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell, 2010, 32(9): 1627-1645.

[23]

Tian ZJ. Two-phase rotating flow field simulation and analyses in spouted rotating-fluidized bed, 2005, China: School of Chemical Engineering and Technology, Tianjin University (in Chinese)

AI Summary AI Mindmap
PDF

115

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/