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Simulation and experimental data resemblance of darmstadt spark ignition engine with different turbulence models - A
A Gnana Sagaya Raj1, Chandra Sekhar Mishra1
1Department of Mechanical Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.
Data in Brief
|June 16, 2022
Summary
Computational Fluid Dynamics (CFD) analysis using Reynolds Average Navier-Stokes (RANS) models was performed for in-cylinder air movement in a spark-ignition engine. The CFD data showed good resemblance to experimental Particle Image Velocimetry (PIV) data.
Area of Science:
- Internal Combustion Engine Research
- Fluid Dynamics and Turbulence Modeling
Background:
- Turbulence modeling in internal combustion (IC) engines is complex due to chaotic flow dynamics.
- Large Eddy Simulation (LES) is recognized as a superior approach for modeling such turbulence.
Purpose of the Study:
- To analyze Computational Fluid Dynamics (CFD) data of in-cylinder air movement in a spark-ignition engine.
- To compare CFD results obtained using Reynolds Average Navier-Stokes (RANS) models with experimental data.
Main Methods:
- Utilized CFD analysis with RANS approach, specifically Re-Normalized Group (RNG), K-Epsilon (k-ε), and K-Omega (k-ω) turbulence models.
- Employed commercial STAR-CD software based on the finite volume method for numerical simulations.
- Compared CFD data with experimental Particle Image Velocimetry (PIV) data from Technische Universität Darmstadt.
Main Results:
- Analyzed qualitative and quantitative resemblance between CFD and experimental data for in-cylinder air movement.
- Validated CFD predictions against experimental data for trapped air mass, in-cylinder pressure, flow patterns, and velocity variations.
- Demonstrated good agreement between RANS-based CFD simulations and PIV experimental results.
Conclusions:
- The study validates the use of RANS turbulence models for simulating in-cylinder air motion in IC engines.
- CFD data generated using STAR-CD shows significant resemblance to experimental PIV data.
- The findings are valuable for researchers conducting CFD studies in diesel and spark-ignition engines.
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