Modeling of Gasoline Direct Injection Spark Ignition Engines. Chen Huang, Andrei Lipatnikov

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1 Modeling of Gasoline Direct Injection Spark Ignition Engines, Andrei Lipatnikov

2 Background Volvo V40 XC Delphi-GDI-System CFD simulation of GDI combustion Hyundai 1.6 l GDI engine

3 Background Model development o Chalmers combustion chemistry for gasoline surrogate [1], fist year o Hollow-cone spray [2], second year o Flame Speed Closure (FSC) model [3] Knowledge gap o Simulate DISI engine using OpenFOAM o Very few correlation for flame propagation speed of gasoline o Effects of stratification [1] Huang, C., Golovitchev, V., Lipatnikov, A. SAE [2] Huang, C., Lipatnikov, A. SAE [3] Lipatnikov, A.N., Fundamentals of premixed turbulent combustion, CRC Press, 2012.

4 Goals To develop a numerical platform based on the open source code and models and for simulations of stratified turbulent combustion in DISI engines.

5 Implement FSC model of premixed turbulent combustion Extend the model to stratified flames and study effects of each extension step-by-step o Mean density o Laminar flame speed o Beta-PDF Approach o Evaporation source term in variance eq. Compare simulations with corresponding experimental project within CERC

6 Implement FSC model of premixed turbulent combustion o Mixture composition, pressure on burning rate o Transient behaviour, from flame kernel to turbulent flame o Preferential diffusion, Lewis number effects o Extensive quantitative validation Extend the model to stratified flames and study effects of each extension step-by-step o Mean density o Laminar flame speed o Beta-PDF Approach o Evaporation source term in variance eq. Compare simulations with corresponding experimental project within CERC

7 FSC Model homogeneous Methods eq. mean density laminar flame speed, flame temperature stratified eq. chemistry betapdf, evaporation source stratified & turbulence, eqs. P f chemistry

8 Implement FSC model of premixed turbulent combustion Extend the model to stratified flames and study effects of each extension step-by-step o Mean density BML o Laminar flame speed o Beta-PDF Approach o Evaporation source term in variance eq. Compare simulations with corresponding experimental project within CERC

9 Effect of Results

10 Implement FSC model of premixed turbulent combustion Extend the model to stratified flames and study effects of each extension step-by-step o Mean density o Laminar flame speed o Beta-PDF Approach o Evaporation source term in variance eq. Compare simulations with corresponding experimental project within CERC

11 Stratified Methods eq. Chalmers* Gülder s Constant S L *gasoline surrogate mechanism (120 species, 677 reaction), pressure 1-30 bar, temperature K, equivalence ratio U t

12 Results Effect of S L

13 Implement FSC model of premixed turbulent combustion Extend the model to stratified flames and study effects of each extension step-by-step o Mean density o Laminar flame speed o Beta-PDF Approach o Evaporation source term in variance eq. Compare simulations with corresponding experimental project within CERC

14 Methods Stratified + turbulence eq. eq. =

15 Effect of beta-pdf Results

16 Implement FSC model of premixed turbulent combustion Extend the model to stratified flames and study effects of each extension step-by-step o Mean density o Laminar flame speed o Beta-PDF Approach o Evaporation source term in variance eq. Compare simulations with corresponding experimental project within CERC

17 Results Effect of evaporation source term ( field)

18 Results Effect of evaporation source term

19 Results Effect of evaporation source term ( field) w/o evaporation source term w evaporation source term -20 CAD atdc

20 Conclusions and Future Work Implement FSC model of premixed turbulent combustion Extend the model to stratified flames and study effects of each extension step-by-step o Mean density o Laminar flame speed o Beta-PDF o Evaporation source term in variance eq. o Effect of all extensions on NO formation o Parametric studies, e.g. injection timing, equivalence ratio Compare simulations with corresponding experimental project within CERC

21 Thank you for your attention

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