Interpretation and characterization of MILD combustion data using unsupervised clustering informed by physics-based, domain expertise (2022)
Attributed to:
Numerical exploration and modelling of a novel environmentally friendly combustion technique: droplet-laden MILD combustion
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.combustflame.2021.111954
Publication URI: http://dx.doi.org/10.1016/j.combustflame.2021.111954
Type: Journal Article/Review
Parent Publication: Combustion and Flame