A Comparison between Different Moving Grid Techniques for the Analysis of the TCC Engine under Motored Conditions

2019-01-0218

04/02/2019

Event
WCX SAE World Congress Experience
Authors Abstract
Content
The accurate representation of Internal Combustion Engine (ICE) flows via CFD is an extremely complex task: it strongly depends on a combination of highly impacting factors, such as grid resolution (both local and global), choice of the turbulence model, numeric schemes and mesh motion technique. A well-founded choice must be made in order to avoid excessive computational cost and numerical difficulties arising from the combination of fine computational grids, high-order numeric schemes and geometrical complexity typical of ICEs. The paper focuses on the comparison between different mesh motion technologies, namely layer addition and removal, morphing/remapping and overset grids. Different grid strategies for a chosen mesh motion technology are also discussed. The performance of each mesh technology and grid strategy is evaluated in terms of accuracy and computational efficiency (stability, scalability, robustness). In particular, a detailed comparison is presented against detailed PIV flow measurements of the well-known "TCC Engine III" (Transparent Combustion Chamber Engine III) available at the University of Michigan. Since many research groups are simultaneously working on the TCC engine using different CFD codes and meshing approaches, such engine constitutes a perfect playground for scientific cooperation between High-Level Institutions. A motored engine condition is chosen and the flow evolution throughout the engine cycle is evaluated on four different section planes. Pros and cons of each grid strategy as well as mesh motion technique are highlighted and motivated.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-01-0218
Pages
16
Citation
Barbato, A., Rulli, F., Fontanesi, S., D'Adamo, A. et al., "A Comparison between Different Moving Grid Techniques for the Analysis of the TCC Engine under Motored Conditions," SAE Technical Paper 2019-01-0218, 2019, https://doi.org/10.4271/2019-01-0218.
Additional Details
Publisher
Published
Apr 2, 2019
Product Code
2019-01-0218
Content Type
Technical Paper
Language
English