Model on Titanium Tetrachloride Gas Phase Oxidation Process


Article Preview

Titanium tetrachloride (TiCl4) oxidation is the most important stage in the titanium dioxide production. High temperature, fast reaction and strong oxidation and strong corrosive atmosphere have increased a lot of difficulty to measuring and testing in oxidation reactor. Computational fluid dynamics (CFD) simulation is one of the most valid methods to investigate TiCl4 gas phase oxidation. In this paper, the achievements and progress about fluid dynamics simulations of titanium tetrachloride gas phase oxidation are described. The further research directions and new perspectives in this field are presented.



Edited by:

Xiaopeng Xiong and Ran Zhang




Y. D. Li et al., "Model on Titanium Tetrachloride Gas Phase Oxidation Process", Materials Science Forum, Vol. 833, pp. 56-60, 2015

Online since:

November 2015




[1] S. A. Orszag, I. Staroselsky. CFD: Progress and problems. Computer Physics Communications. 127 (2000) 165-171.


[2] Xiong Y, Pratsinis S E. Formation of agglomerate particles by coagulation and sintering-Part 2. The evolution of the morphology of aerosol-made titania, silica and silica-doped titania powders. J. Aerosol Science. 24 (1993) 301-313.


[3] Xiong Y, Pratsinis S E. Modeling the formation of boron carbide particles in an aerosol flow Reactor. AIChE J. 38 (1992) 1685-1692.


[4] Tsantilis S, Pratsinis S E. Evolution of primary and aggregate particle-size distribution by coagulation and sintering. AIChE J. 46 (2000) 407-415.


[5] SM Zhang. A cold model experimental study of titanium pigment. Paint & Coatings industry. 5 (2000) 20-22.

[6] ZM Lu, CZ Li, DZ Cong, et al. Study on Jet Mixing Characters in the Oxidation Reactor for Titanium Dioxide Powder Production by Chloride Process. Chemical engineering (China). 3 (2001) 25-28.

[7] Yi Cheng, Aiwei Ye, Fei Liu, Fei Wei. Numerical simulation of swirling flows in oxidation reactors for TiO2 manufacture. China Particuology. 4 (2006) 108-113.


[8] XZ Yang, ZF Yuan, Zhi Wang et al. Design and Enlargement of Oxidation Reactor for the Production of Titania with Chlorination method. Chemical engineering desing. 14 (2004) 5-10.

[9] T. Araki, T. Ono, M. Matsukata, K. Ueyama and R. Oshima. Proc. 1st Int. Forum on Particle Technology, Denver, CO. 2 (1994) 281-285.

[10] Pratsinis S E, Kodas T T, Dudukovic M P et al. Aerosol Reactor Design: Effect of Reactor Type and Process Parameters on Product Aerosol Characteristics. IndEngChem. 25 (1986) 634-642.


[11] Xiong Yun. Formation of Agglomerate Particles by Coagulation and Sintering, Part I. A Two-dimensional Solution of the Population Balance Equation. Journal of Aerosol Science. 24 (1993) 283-300.


[12] R. Singh, V. Raman. Two-dimensional direct numerical simulation of nanoparticle precursor evolution in turbulent flames using detailed chemistry. Chemical Engineering Journal. 207-208 (2012) 794-802.


[13] Y. Sung, V. Raman, R.O. Fox. Large-eddy-simulation-based multiscale modeling of TiO2 nanoparticle synthesis in aturbulent flame reactor using detailed nucleation chemistry. Chemical Engineering Science. 66 (2011) 4370-4381.


[14] A. Schild, A. Gutsch, H. Mühlenweg, S.E. Pratsinis. Simulation of nanoparticle production in premixed aerosol flow reactors by interfacing fluid mechanics and particle dynamics. Journal of Nanoparticle Research. 1 (1999) 305-315.


[15] T. Johannessen, S.E. Pratsinis, H. Livbjerg. Computational analysis of coagulation and coalescence in the flame synthesis of titania particles. Powder Technology. 118 (2001) 242-250.


[16] Jethro Akroyd, Alastair J. Smith, Raphael Shirley et al. A coupled CFD-population balance approach for nanoparticle synthesis in turbulent reacting flows. Chemical Engineering Science. 17 (2011) 3792-3805.


[17] Buddhiraju V S, Runkana V. Simulation of nanoparticle synthesis in an aerosol flame reactor using a coupled flame dynamics–monodisperse population balance model. Journal of Aerosol Science. 1 (2012) 1-13.


Fetching data from Crossref.
This may take some time to load.