Reference : A Discrete-Continuous Method for Predicting Thermochemical Phenomena in a Cement Kiln...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Chemistry
Engineering, computing & technology : Materials science & engineering
Physics and Materials Science
http://hdl.handle.net/10993/38319
A Discrete-Continuous Method for Predicting Thermochemical Phenomena in a Cement Kiln and Supporting Indirect Monitoring
English
Copertaro, Edoardo mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Estupinan Donoso, Alvaro Antonio mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Peters, Bernhard mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
4-Dec-2018
Engineering Journal
Chulalongkorn University
22
6
165-183
Yes
International
0125-8281
Thailand
[en] Cement kiln ; computational fluid dynamics ; discrete element method ; XDEM
[en] Thermochemical phenomena involved in cement kilns are still not well
understood because of their complexity, besides technical difficulties in achieving direct
measurements of critical process variables. This article addresses the problem of their
comprehensive numerical prediction. The presented numerical model exploits
Computational Fluid Dynamics and Finite Difference Method approaches for solving the
gas domain and the rotating wall, respectively. The description of the thermochemical
conversion and movement of the powder particles is addressed with a Lagrangian approach.
Coupling between gas, particles and the rotating wall includes momentum, heat and mass
transfer. Three-dimensional numerical predictions for a full-size cement kiln are presented
and they show agreement with experimental data and benchmark literature. The quality and
detail of the results are believed to provide a new insight into the functioning of a cement
kiln. Attention is paid to the computational burden of the model and a methodology is
presented for reducing the time-to-solution and paving the way for its exploitation in quasireal-time,
indirect monitoring.
http://hdl.handle.net/10993/38319
10.4186/ej.2018.22.6.165
http://www.engj.org/index.php/ej/article/view/2605

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