Commercialization of a Comprehensive Spark-Ignition Model for Automotive Engine Applications in CONVERGE CFD
- Argonne National Laboratory (ANL), Argonne, IL (United States)
The work completed under this CRADA commercializes an advanced hybrid Lagrangian-Eulerian spark-ignition (LESI) model for multi-dimensional engine simulations. In this report, LESI is coupled with combustion models (WSR, TFM, G-equation) to model spark channel elongation and kernel and flame development in a constant volume combustion vessel, and a four-valve direct-injection spark-ignition (4VDISI) engine in two operating conditions: stoichiometric E30 with no dilution, and stoichiometric PACE-20 with dilution using CONVERGE CFD solver.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States); Convergent Science, Madison, WI (United States)
- Sponsoring Organization:
- USDOE Office of Technology Transitions (OTT), Technology Commercialization Fund (TCF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO)
- DOE Contract Number:
- AC02-06CH11357
- OSTI ID:
- 1922198
- Report Number(s):
- ANL/ES-C2019-19216; 180508
- Country of Publication:
- United States
- Language:
- English
Similar Records
Coupling a Lagrangian–Eulerian Spark-Ignition (LESI) model with LES combustion models for engine simulations
Application of a Comprehensive Lagrangian–Eulerian Spark-Ignition Model to Different Operating Conditions
High-Fidelity Energy Deposition Ignition Model Coupled with Flame Propagation Models at Engine-like Flow Conditions
Journal Article
·
Tue May 31 00:00:00 EDT 2022
· Science and Technology for Energy Transition
·
OSTI ID:1960145
Application of a Comprehensive Lagrangian–Eulerian Spark-Ignition Model to Different Operating Conditions
Journal Article
·
Sun Apr 07 00:00:00 EDT 2024
· SAE International Journal of Engines
·
OSTI ID:2530141
High-Fidelity Energy Deposition Ignition Model Coupled with Flame Propagation Models at Engine-like Flow Conditions
Conference
·
Mon May 01 00:00:00 EDT 2023
·
OSTI ID:2426852