Stretch Rate and Displacement Speed Correlations for Increasingly-Turbulent Premixed Flames
View / Open Files
Authors
Nivarti, GV
Cant, RS
Publication Date
2019Journal Title
Flow, Turbulence and Combustion
ISSN
1386-6184
Publisher
Springer Science and Business Media LLC
Volume
102
Issue
4
Pages
957-971
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Nivarti, G., & Cant, R. (2019). Stretch Rate and Displacement Speed Correlations for Increasingly-Turbulent Premixed Flames. Flow, Turbulence and Combustion, 102 (4), 957-971. https://doi.org/10.1007/s10494-018-9990-7
Abstract
Probability density functions of the components of stretch rate are investigated using a previously-published Direct Numerical Simulation dataset spanning a range of turbulence intensities in the Thin Reaction Zones (TRZ) regime. The dataset was generated by varying the turbulence intensity across five different simulations while maintaining fixed the remaining physico-chemical input parameters such as integral length scale and laminar flame thickness and speed. Across the entire dataset, the joint probability density function of stretch rate and displacement speed displays a distinctive shape with two branches consistent with previous studies at low turbulence intensities. This joint probability density function is analysed further by extracting individual contributions of stretch rate components to determine their relative importance across the branches. The curvature dependence of displacement speed appears to play an important role in shaping these branches. Implications of this result with regard to evaluation of the components of stretch rate in the TRZ regime are discussed.
Keywords
Flamelet modelling, Stretch rate, Displacement speed
Sponsorship
Engineering and Physical Sciences Research Council (EP/P022286/1)
Engineering and Physical Sciences Research Council (EP/K025791/1)
Identifiers
External DOI: https://doi.org/10.1007/s10494-018-9990-7
This record's URL: https://www.repository.cam.ac.uk/handle/1810/286367
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk