Show simple item record

contributor authorNovoselov, Alex G.;Ebi, Dominik;Noiray, Nicolas
date accessioned2022-12-27T23:11:19Z
date available2022-12-27T23:11:19Z
date copyright9/12/2022 12:00:00 AM
date issued2022
identifier issn0742-4795
identifier othergtp_144_10_101013.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288059
description abstractA novel boundary layer flashback model is developed based on previous measurements that showed flashback limits may be related to strained premixed flame extinction. According to the model, flashback occurs at the equivalence ratio where the strained extinction limit flame speed matches the mean axial flow velocity one thermal distance from the wall. The model is validated by comparison with experimental measurements of flashback of confined nonswirling turbulent hydrogen-air flames. This comparison shows that the proposed model is capable of predicting confined turbulent boundary layer flashback across a large range of wall velocity gradients and preheat temperatures. The model is extended to methane-hydrogen-air flames in a swirling configuration using information about a single flashback event and shows good agreement with experimental measurements as a function of both hydrogen mole fraction in the fuel and pressure. In addition, inclusion of a mean nonreacting velocity field computed via large Eddy simulation allows for a significant increase in the accuracy of the model when applied to swirling flows. Ultimately, this model provides a new pathway for the design of flashback resistant gas turbines, even with the addition of fuels like hydrogen.
publisherThe American Society of Mechanical Engineers (ASME)
titleAccurate Prediction of Confined Turbulent Boundary Layer Flashback Through a Critically Strained Flame Model
typeJournal Paper
journal volume144
journal issue10
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4055413
journal fristpage101013
journal lastpage101013_8
page8
treeJournal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 010
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record