Abstract
Wall modelling in internal combustion engines (ICEs) is a challenging task due to highly specific boundary layers and a dynamically changing flow environment. Recent experimental (Jainski et al., 2013, Renaud et al., 2018) and direct numerical simulation (DNS, Schmitt et al., 2015a) studies demonstrate that scaled near-wall velocity and temperature profiles in ICEs deviate considerably from the law of the wall. Utilising the DNS data, the present paper focusses on benchmarking a scale-resolving approach with a 1-D non-equilibrium wall model (HLR-WT, Keskinen et al., 2017) in ICE-like flows. Specific emphasis is put on the compression stroke using different grids and two additional wall-modelled large eddy simulation (WMLES) reference approaches. The standard wall law based WMLES-1 produces highly grid-dependent underprediction of wall fluxes, to which WMLES-2 (Plensgaard and Rutland, 2013) and HLR-WT, employing engine-targeted wall treatments, yield considerable improvement. Differences between the improved methods are noted in detailed metrics. Throughout the compression stroke, HLR-WT provides a good match to the DNS in scaled mean boundary layer profiles for both velocity and temperature. With relevance to local heat flux distribution, the characteristic impingement-ejection process observed in the DNS is qualitatively replicated with WMLES-2 and HLR-WT. The non-equilibrium formulation of the latter allows for slight improvements in terms of local heat transfer fluctuation predictions. In contrast, coarse near-wall grids appear to be detrimental for such predictions with all approaches. The study provides evidence on the potential of the HLR-WT and WMLES-2 approaches in ICE near-wall flow prediction, advocating further investigations in more realistic engine configurations.
| Original language | English |
|---|---|
| Pages (from-to) | 154-172 |
| Number of pages | 19 |
| Journal | International Journal of Heat and Fluid Flow |
| Volume | 74 |
| DOIs | |
| Publication status | Published - 1 Dec 2018 |
| MoE publication type | A1 Journal article-refereed |
Funding
The authors gratefully acknowledge funding from the TEKES (the Finnish Funding Agency for Innovation) project “FLEX E ” (grant no. 2532/31/2014) and computational resources provided by the Aalto Science-IT project. Funding from the Swiss Federal Office of Energy (grant no. SI/501584-01) and the Swiss Competence Centre for Energy and Mobility (CCEM project “RENERG2”) is also gratefully acknowledged. The first author acknowledges support from the Finnish Foundation for Technology Promotion Gasum Gas Fund. The authors thank George Giannakopoulos and Christos Frouzakis for their assistance in DNS data acquisition and processing. The authors also acknowledge the International Energy Agency Combustion Technology Collaboration Program on Clean and Efficient Combustion for promoting the collaboration that made this work possible. Appendix A
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Compression stroke
- Engine flows
- Wall heat transfer
- Wall modelling
- Wall-modelled large eddy simulation
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