D. Bessette
5 Papers
D. Bessette is an academic researcher. The author has contributed to research in topics: Chemistry & Combustion. The author has an hindex of 1, co-authored 1 publications.
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Papers
The Preparation and Preliminary Characterisation of Eight Geological MPI-DING Reference Glasses for In-Situ Microanalysis
Klaus Peter Jochum,Donald B. Dingwell,Alexander Rocholl,Brigitte Stoll,Albrecht W. Hofmann,S. Becker,A. Besmehn,D. Bessette,H.-J. Dietze,Peter Dulski,J. Erzinger,Eric Hellebrand,Peter Hoppe,Ingo Horn,Koen Janssens,George A. Jenner,Max Klein,William F. McDonough,M. Maetz,Klaus Mezger,C. Müker,Igor K. Nikogosian,C. Pickhardt,Ingrid Raczek,Dieter Rhede,H. M. Seufert,S.G. Simakin,Alexander V. Sobolev,B. Spettel,Susanne M. Straub,Laszlo Vincze,A. Wallianos,G. Weckwerth,Stefan Weyer,D. Wolf,M. Zimmer +35 more
TL;DR: In this paper, eight silicate glasses were prepared by directly fusing and stirring 50-100 g each of basalt, andesite, komatiite, peridotite, rhyolite, and quartz-diorite.
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High-fidelity H2–CH4 jet in crossflow modelling with a flame index-controlled artificially thickened flame model
Roberto Meloni,Stefano Orsino,Naseem Ansari,Rakesh Krishna Yadav,D. Bessette,Isaac Boxx,Antonio Andreini +6 more
TL;DR: In this article , a multi-regime CH4-H2 Jet In Crossflow (JICF) flame, at gas turbine relevant conditions, has been investigated with a Flame Index controlled Artificially Thickened Flame Model (ATFM).
4
Numerical Prediction of Pressurized Hydrogen Leakage and Spontaneous Ignition
Yu Xia,D. Bessette,V. Kumar,A. Patil,Sourabh Shrivastava,Patrick Sharkey,Pravin Nakod +6 more
- 19 Jan 2023
TL;DR: In this paper , a density-based CFD solver is used to simulate the 3D turbulent structures during the mixing of the fast-propagating hydrogen with the ambient air, using Large Eddy Simulation for turbulence and Finite Rate Chemistry for combustion.
Numerical Simulation of Turbulent Premixed Flames Using Thickened Flame Model
Yu Xia,Ashish S. Newale,Rakesh Krishna Yadav,Ishan Verma,D. Bessette +4 more
- 26 Jun 2023
TL;DR: This study numerically investigates the Thickened Flame Model (TFM) for premixed methane/air flames using Large Eddy Simulation (LES) and Finite-Rate Chemistry (FRC), evaluating efficiency functions and velocity fluctuation models to improve TFM accuracy and reduce computational costs.
Partially Premixed Hydrogen-Methane Flame Simulations at Relevant Gas Turbine Conditions With a Thickened Flame Model Enhancement
Roberto Meloni,Stefano Orsino,Naseem Ansari,Rakesh Krishna Yadav,D. Bessette,S. Castellani,Pier Carlo Nassini,Antonio Andreini,Isaac Boxx +8 more
- 26 Jun 2023
TL;DR: This study enhances the Thickened Flame Model for simulating partially premixed hydrogen-methane flames at gas turbine conditions, adapting the transport equation to combustion regimes and validating the approach against experimental measurements in a Jet in Cross Flow setup.