KINETIC MODELING OF HYDROGEN TRANSPORT-LIMITED REDUCTION RATE USING SHRINKING CORE MODEL

Authors

  • Chun Chien Lee Structural Material Niche Area, School of Materials and Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia Author
  • Sivakumar Ramakrishnan Structural Materials Niche Area, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia. Author
  • Sheikh Abdul Rezan Structural Materials Niche Area, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia. Author
  • Reza Alizadeh Sahand University of Technology, Iran Author
  • Parham Roohi Sahand University of Technology, Iran Author

Keywords:

Titanium Dioxide, Mathematical Modeling, Matlab

Abstract

Reduction of titanium dioxide (TiO2) is important in the production of titanium sub- oxides such as Ti3O5 and Ti2O3 which have numerous applications. In this research, mathematical modeling of hydrogen (H2) reduction of TiO2 has been developed in MATLAB by using a shrinking core model (SCM). The SCM can be used to determine the transport-limited reaction rate for TiO2 reaction in 100 volume (vol.) % of H2 atmosphere. H2 gas was used due to its environmental benefits and faster reaction kinetics. The reduction process was predicted from independently measured physical and thermodynamic properties of TiO2 and H2 components. From the theoretical modeling results, the percent of reduction (R’) for isothermal conditions was 100% at 20 minutes with a temperature range between 1373-1773 K. Experimental data showed a lowered R’ then the model, with maximum R’ of 70% at 1773 K after 40 minutes. At 1373 K, experimental R’ was about 10%. Nonisothermal reduction model showed a theoretical R’ value of 100% after 40 minutes at 1373 K. At 1773 K, the theoretical R’ of 100% was obtained after 20 minutes. Non-isothermal reduction modeling showed a better approximation to experimental data than isothermal reduction.

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Published

27-08-2025