David Hebert
CEA Cesta
57 Papers
296 Citations
David Hebert is an academic researcher from CEA Cesta. The author has contributed to research in topics: Laser & Shock (mechanics). The author has an hindex of 14, co-authored 54 publications. Previous affiliations of David Hebert include French Alternative Energies and Atomic Energy Commission.
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Papers
Evaluation of the fused silica thermal conductivity by comparing infrared thermometry measurements with two-dimensional simulations
TL;DR: In this article, a self-consistent approach is proposed to determine the temperature dependent thermal conductivity k(T) of fused silica, for a range of temperatures up to material evaporation using a CO2 laser irradiation.
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Thermo-mechanical simulations of CO2 laser–fused silica interactions
Thomas Doualle,Laurent Gallais,Philippe Cormont,David Hebert,Patrick Combis,Jean-Luc Rullier +5 more
TL;DR: In this article, the authors developed a comprehensive thermo-mechanical numerical simulations of these physical processes, based on finite-element method, for 2D or 3D cases to tackle the case of a moving beam at the surface of the sample, and particularly discuss the choice of different parameters based on bibliographic inputs.
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Experimental observations and modeling of nanoparticle formation in laser-produced expanding plasma
Emilien Lescoute,L. Hallo,David Hebert,B. Chimier,Bertrand Etchessahar,Vladimir Tikhonchuk,J.-M. Chevalier,Patrick Combis +7 more
TL;DR: In this paper, experimental observations of fragments and nanoparticles in plasma plumes created from gold targets are presented, and compared with theoretical models of vapor condensation and microparticle formation.
56
Predicting turbulence in flows with strong stable stratification
TL;DR: In this paper, high-resolution direct numerical simulations are used to understand how turbulence can be predicted in flows subject to strong stable stratification, and it is observed that shear instabilities are the predominant cause of turbulence in the simulations, which supports the derivation of a Froude-Reynolds number scaling to predict turbulence in this flow regime.
47
Self-consistent modeling of jet formation process in the nanosecond laser pulse regime
TL;DR: In this article, a hydrodynamic code is used to model the jet formation process and estimate the constraints obeyed by the bioelements during the transfer of biological material such as cells and proteins.
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