Browsing by Author "Du Toit, Philip C."

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    An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction
    (Stellenbosch : Stellenbosch University, 2018-03) Du Toit, Philip C.; Meyer, Chris J.; Laubscher, Ryno; Stellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering.
    ENGLISH SUMMARY: The ground work to include more detailed chemistry than global approaches in a combustion simulation was completed. A reduced-order model of the Biomass Chemical Percolation Devolatilisation model, ANN-Bio-CPD, was developed and implemented with artifcial neural networks in order to achieve ease of execution and computational cost reduction with regard to an industrial computational fluids dynamics application. ANN-Bio-CPD was validated with wire-mesh reactor and drop-tube furnace experiments from literature. Subsequently, the Eddy Dissipation Concept (EDC) turbulence-chemistry interaction model was implemented and validated with ANN-Bio-CPD in a bagasse- fired boiler simulation. The EDC model constants were adjusted to achieve the correct temperature and intermediate species results in combination with a two-step global reaction mechanism.