Imperial College London

Luca Magri

Faculty of EngineeringDepartment of Aeronautics

Professor of Scientific Machine Learning
 
 
 
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Contact

 

l.magri Website

 
 
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Location

 

CAGB324City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Qadri:2021:10.1098/rspa.2020.0472,
author = {Qadri, UA and Magri, L and Ihme, M and Schmid, PJ},
doi = {10.1098/rspa.2020.0472},
journal = {Proc Math Phys Eng Sci},
pages = {20200472--20200472},
title = {Using adjoint-based optimization to enhance ignition in non-premixed jets.},
url = {http://dx.doi.org/10.1098/rspa.2020.0472},
volume = {477},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Gradient-based optimization is used to reliably and optimally induce ignition in three examples of laminar non-premixed mixture configurations. Using time-integrated heat release as a cost functional, the non-convex optimization problem identified optimal energy source locations that coincide with the stoichiometric local mixture fraction surface for short optimization horizons, while for longer horizons, the hydrodynamics plays an increasingly important role and a balance between flow and chemistry features determines non-trivial optimal ignition locations. Rather than identifying a single optimal ignition location, the results of this study show that there may be several equally good ignition locations in a given flow configuration.
AU - Qadri,UA
AU - Magri,L
AU - Ihme,M
AU - Schmid,PJ
DO - 10.1098/rspa.2020.0472
EP - 20200472
PY - 2021///
SN - 1364-5021
SP - 20200472
TI - Using adjoint-based optimization to enhance ignition in non-premixed jets.
T2 - Proc Math Phys Eng Sci
UR - http://dx.doi.org/10.1098/rspa.2020.0472
UR - https://www.ncbi.nlm.nih.gov/pubmed/33642926
VL - 477
ER -