Turbulence-Chemistry-Interaction Modelling in 3D-CFD for Study of Auto Ignition Phenomena

Benz, C.; Nocke, Jürgen; Hassel, Egon; Hoffmeyer, Henrik; Michels, Karsten

doi:10.4271/2012-01-0158

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…CFD techniques were adopted to predict product performance [2], chemical or physical processes [3,4], and fluid flow process [5,6]. With CFD techniques, Choi et al [7] predicted the internal flow of turbine in order to choose the best design and verified the reasonableness of the design through the field test.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization Design of Double-Row Blades Hydraulic Retarder with Surrogate Model

Liu

Linshan

et al. 2014

Advances in Mechanical Engineering

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For the design of double-row blades hydraulic retarder involves too many parameters, the solution process of the optimal parameter combination is characterized by the large calculation load, the long calculation time, and the high cost. In this paper, we proposed a multiobjective optimization method to obtain the optimal balanced solution between the braking torque and volume of double-row blades hydraulic retarder. Moreover, we established the surrogate model for objective function with radial basis function (RBF), thus avoiding the time-consuming three-dimensional modeling and fluid simulation. Then, nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the optimal combination solution of design variables. Moreover, the comparison results of computational fluid dynamics (CFD) values of the optimal combination parameters and original design parameters indicated that the multiobjective optimization method based on surrogate model was applicable for the design of double-row blades hydraulic retarder.

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Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization Design of Double-Row Blades Hydraulic Retarder with Surrogate Model

Liu

Linshan

et al. 2014

Advances in Mechanical Engineering

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Advancements in Combustion Modeling and Simulation for an Innovative Homogenous Reactivity-Controlled Compression Ignition (hRCCI) Concept

Sundaram,

Grundl,

Trapp

2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">The global imperative to develop clean energy solutions has redirected research efforts towards highly efficient combustion engines with ultra-low emissions. This has prompted investigations into alternative combustion concepts, including Low Temperature Combustion (LTC), utilizing environmentally friendly fuels. Within the scope of our research project, we are primarily focused on the development of an innovative combustion concept known as Homogeneous Reactivity-Controlled Compression Ignition (hRCCI), which employs renewable fuels such as ethanol and 1-octanol for a serial hybrid powertrain. The lack of predictive simulations for this concept presents a significant challenge in optimizing the engine's operation.</div><div class="htmlview paragraph">Most of the 1D system simulation models use a non-predictive combustion model for combustion simulations. Due to the dependence on auto-ignition chemistry, a chemistry based hRCCI combustion model for real time computation has been proposed with this work. Based on the thermal and chemistry data, a tabulated chemistry was generated using Ansys Chemkin. This table is further processed in Matlab- Simulink to predict the combustion in the proposed engine configuration. This helps in the simulation of combustion in real time and predicts the combustion profile before the start of combustion. This is one of the first steps in realizing multizone combustion modelling in 1D simulation to accurately predict the combustion.</div><div class="htmlview paragraph">Multidimensional computational fluid dynamics (CFD) simulation helps to refine the combustion process and provides a deeper understanding of the processes in the combustion chamber. Unsteady Reynolds averaged Navier-Stokes turbulence (URANS) simulations with detailed chemistry were previously conducted. For further insight into the hRCCI combustion process, a 2D CFD model of the combustion chamber with Large Eddy Simulation (LES), Partially averaged Navier-Stokes (PANS) and URANS turbulence model is developed using AVL FIRE M. The LES and PANS turbulence method consider the temperature variance due to the flow. This allows the precise depiction of the influence of turbulence on the combustion parameters like ignition delay, pressure rise, rate of heat release etc., and for the hRCCI concept it was found, that the flow field lead to a different temperature distribution compared to the URANS simulation and thus have an influence on the start of combustion.</div></div>

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Turbulence-Chemistry-Interaction Modelling in 3D-CFD for Study of Auto Ignition Phenomena

Cited by 2 publications

References 7 publications

Multiobjective Optimization Design of Double-Row Blades Hydraulic Retarder with Surrogate Model

Multiobjective Optimization Design of Double-Row Blades Hydraulic Retarder with Surrogate Model

Advancements in Combustion Modeling and Simulation for an Innovative Homogenous Reactivity-Controlled Compression Ignition (hRCCI) Concept

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