Essays about: "Stochastic Reactor Model"

Found 3 essays containing the words Stochastic Reactor Model.

  1. 1. Development of a Simulation Methodology for Gas Turbine Combustion

    University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionen

    Author : Thommie Nilsson; [2015]
    Keywords : combustion; computational fluid dynamics; reactor network; Physics and Astronomy;

    Abstract : The main goal of this thesis was the development and application of a method to construct reactor networks based on pre-calculated flow fields for combustion systems. Computational fluid dynamics (CFD) was used to calculate flow fields for the Sandia piloted jet flame D and a Siemens SGT-800 gas turbine burner rig. READ MORE

  3. 2. Development of a spray evaporation model for SRM simulations

    University essay from Lunds universitet/Fysiska institutionen

    Author : Thommie Nilsson; [2012]
    Keywords : evaporation; vaporization; spray fuel droplets; SRM; engine combustion heating; Physics and Astronomy;

    Abstract : A fuel vaporization model has been developed for stochastic reactor simulations of engine in-cylinder combustion. The model includes calculations of evaporation rate from fuel droplets based on the diffusion of vapor from the surface of droplets, and the heating of droplets based on convective heat transfer with correction due to mass transfer. READ MORE

  4. 3. Development and Validation of a Turbulent Flame Propagation Model

    University essay from Lunds universitet/Fysiska institutionen

    Author : Simon Bjerkborn; [2011]
    Keywords : Combustion physics; flame propagation; engine simulations; SI engines; Bjerkborn; Simon Bjerkborn; Loge AB; Loge; SRM; Stochastic Reactor Model; Monte Carlo; Physics and Astronomy;

    Abstract : The aim of this thesis was to develop a model for flame propagation, to implement in a zero-dimensional engine simulation tool (DARS 0d-SRM) which previously only used fitted Wiebe-functions to describe the flame propagation. The idea was to create a model which could replace or complement the Wiebe function, but with predictive capabilities, avoiding the need to perform curve-fitting when certain parameters are changed. READ MORE