Satoki_2019 2nd paper Japanese.pdf (2.29 MB)
A Brief Review on How to Make a Database for Flamelet Approach
journal contributionposted on 2019-03-04, 10:06 authored by S. Yokoi, Y. Saito, Yohsuke Matsushita, H. Aoki, Weeratunge MalalasekeraWeeratunge Malalasekera
The simulation of turbulent combustion has been of more importance to develop practical combustors. The flamelet (or tabulated chemistry) approach is one of the techniques to estimate combustion reaction rate and to describe turbulent combustion field. This approach can reduce computational cost in comparison with the reduced reaction schemes because the combustion reaction rate is just looked up from the pre-calculated database. The difficulty of the flamelet approach comes from the variety of how to make this pre-calculated database. In the present study, we reviewed previous researches in terms of the flamelet approach and summarized the ideas to make the database for the flamelet approach. First, the fundamental combustion reaction models such as the detailed reaction model and skeletal model were introduced. And then, how to generate the dataset for the database in flamelet, flamelet progress variable, and flamelet generated manifolds models were mentioned. Moreover, how to process the dataset into the database for the turbulent combustion simulation was pointed out. Finally, apart from making the database, the treatment of the database in the computational fluid dynamics was described briefly.
- Mechanical, Electrical and Manufacturing Engineering
Published inJournal of the Combustion Society of Japan
Pages66 - 75
CitationYOKOI, S. ... et al., 2019. A Brief Review on How to Make a Database for Flamelet Approach. Journal of the Combustion Society of Japan, 61(195), pp. 66-75.
PublisherCombustion Society of Japan
- VoR (Version of Record)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis paper is published with kind permission of the publisher.