TY - GEN
T1 - A Scalable Framework for Numerical Simulation of Combustion in Internal Combustion Engines
AU - Bale, Rahul
AU - Wang, Wei Hsiang
AU - Li, Chung Gang
AU - Onishi, Keiji
AU - Uchida, Kenji
AU - Fujimoto, Hidefumi
AU - Kurose, Ryoichi
AU - Tsubokura, Makoto
N1 - Funding Information:
This work was supported through the computing resources provided on the K computer by RIKEN Center for Computational Science through the HPCI System Research project (Project ID: hp160032).
Publisher Copyright:
© 2020 ACM.
PY - 2020/6/29
Y1 - 2020/6/29
N2 - Numerically modelling the multi-physics phenomenon of combustion is challenging as it involves fluid flow, chemical reaction, phase change, energy release, etc. Combining numerical models for all these phenomena into a single solver ensuring scalability and performance is a daunting task. Based on the hierarchical meshing technique building cube method (BCM) we present a numerical framework for modelling internal combustion engines. The framework efficiently combines a fully compressible flow solver, chemical reaction and combustion model, a particle-in-cell based liquid spray model, and an immersed boundary method for geometry treatment. The flow, temperature fields and the transport of reacting species an all speed Roe scheme is adopted discretization of the advective flux. The solver is coupled with the equilibrium chemical reaction library CANTERA to model combustion. The parcel model-based particle-source-in-cell (PSI-cell) method is adopted for modelling liquid fuel spray and its evaporation. Validation of the numerical framework is carried out by using experimental data of a model internal combustion engine known as the Rapid Compression Machine (RCM). Evaluation of the framework with strong scaling analysis shows good scalability.
AB - Numerically modelling the multi-physics phenomenon of combustion is challenging as it involves fluid flow, chemical reaction, phase change, energy release, etc. Combining numerical models for all these phenomena into a single solver ensuring scalability and performance is a daunting task. Based on the hierarchical meshing technique building cube method (BCM) we present a numerical framework for modelling internal combustion engines. The framework efficiently combines a fully compressible flow solver, chemical reaction and combustion model, a particle-in-cell based liquid spray model, and an immersed boundary method for geometry treatment. The flow, temperature fields and the transport of reacting species an all speed Roe scheme is adopted discretization of the advective flux. The solver is coupled with the equilibrium chemical reaction library CANTERA to model combustion. The parcel model-based particle-source-in-cell (PSI-cell) method is adopted for modelling liquid fuel spray and its evaporation. Validation of the numerical framework is carried out by using experimental data of a model internal combustion engine known as the Rapid Compression Machine (RCM). Evaluation of the framework with strong scaling analysis shows good scalability.
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U2 - 10.1145/3394277.3401859
DO - 10.1145/3394277.3401859
M3 - Conference contribution
AN - SCOPUS:85090153232
T3 - Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020
BT - Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020
PB - Association for Computing Machinery
T2 - 7th Annual Platform for Advanced Scientific Computing Conference, PASC 2020
Y2 - 29 June 2020 through 1 July 2020
ER -