Pr. Eric CLIMENT

Professor of Fluid Mechanics

Director of the Institute of Fluid Mechanics, Toulouse (IMFT UMR5502)
Toulouse INP-ENSEEIHT / CNRS / Univ. Paul Sabatier

Head of the international Master on Fluids Engineering for Industrial Processes (INP - INSA Toulouse)

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Short biography

Prof. Éric Climent has twenty years of experience in teaching and research on numerical modelling and simulations of two-phase flows. He received his PhD in fluid mechanics in 1996. He was lecturer at the University of Strasbourg (1997–2001). Then, he moved to Brown University (USA.) as a visiting professor in the department of applied mathematics. He returned to Toulouse (France) in 2003 to carry out research in the chemical engineering laboratory (LGC – UMR 5503 CNRS-INPT-UPS) on the modelling of industrial processes involving two-phase flows. Since 2008, he is full Professor of fluid mechanics and has been a member of the Fluid Mechanics Institute (IMFT – UMR 5502 CNRS-INPT-UPS), developing his expertise on the modelling and simulation of disperse two-phase flows (suspension flow, solid/liquid separation, bubbles, and drops in turbulent flows). Eric Climent has supervised 30 PhD students and several post-docs and master students. He is co-author of more than 90 papers in international peer-reviewed journals on particulate flows, bubble and drop dynamics, active suspensions and liquid-solid separation techniques. He gave many invited talks in international conferences and more than 200 international communications. He was visiting Professor at Brown Univ. and at the Massachusetts Institute of Technology (MIT), USA. He has continuously developed numerical tools and modelling approaches (DNS, LES and fully resolved particulate flows) for the simulation of dispersed two-phase flows dealing with academic topics and industrial applications in engineering. His research is funded either by academic grants or industrial supports in the field of petroleum and nuclear engineering, heat and mass transfer related processes. Prof. Eric Climent is the Director of IMFT over the period 2016-2025 and member of editorial advisory board of International Journal of Multiphase Flows. He will be the chair-person of the next ICMF 2025 (International Conference on Multiphase Flows) which will be held in Toulouse.

Field of Expertise

Computational Fluid Dynamics for multiphase flows and HPC- High Performance Computing.
Dispersed two-phase flows: turbulent dispersion and collective effects (two-way coupling, modulation of turbulence …).
Flow of suspensions (sedimentation, shear-induced self-diffusion, colloidal dispersions in microchannels).
Complex suspensions (magneto-rheological fluids, gyrotactic suspensions of micro-organisms).
Chemical reactions and mass transfer in two-phase flows.
Solid/liquid separation (Falcon centrifugal separator, hydrocyclones) and industrial applications.

Brief CV

Education

1993-1996 : PhD Thesis in Fluid Mechanics (with honors) – advisor J. Magnaudet, "Two-way coupling simulations of bubbly mixing layers"
1990-1993 : Engineering degree at ENSEEIHT (Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique et d'Hydraulique de Toulouse) Master Degree in Fluids Mechanics (with honors)

Carrier

2008... : Full Professor (ENSEEIHT – Toulouse INP, Fluids Mechanics)
2007 : Acknowledgement for high level and continuous research (Tenure track)
2003-2008 : Associate Professor (ENSIACET – Toulouse INP, Chemical Engineering)
2002-2003 : Visiting associate professor at Brown University (USA), Applied Math.
2002-2003 : Temporary position at CNRS (Section 10: Engineering Sciences)
1999 : Visiting assistant professor at Brown University (collaboration with Pr. Maxey)
1998 : Associate Professor - Louis Pasteur University, Strasbourg (Mechanical Eng.)
1997-1998 : Assistant Professor at Louis Pasteur University, Strasbourg
1997 : Industrial contract AEROSPATIALE

Scientific and collective commitments

  • Director of IMFT (2016-2025): academic research lab composed of 220 people
  • Invited professor at Tsinghua university (China), (2018-2020)
  • Adjunct professor at Teheran university (Iran), (2020-2023)
  • Editorial board of International Journal of Multiphase Flow / Editorial Advisory Board (EAB)
  • Editorial Board of Acta Mechanica Sinica (AMS), co-published by The Chinese Society of Theoretical and Applied Mechanics (CSTAM) and Springer Nature
  • Member of scientific committee at INERIS (CSS, risk engineering) (2017-2020)
  • Deputy Director of IMFT (2011-2015)
  • Scientific consulting for TOTAL (2008-2018)
  • Head of the international Master program: Fluids & Industrial Processes (INPT): 2009…

Research

Turbulent flows with particles

Particles in a turbulent channel flow
Particles in a turbulent channel flow

Direct numerical simulations of turbulent suspension flows are carried out with the Force-Coupling Method in plane Couette and pressure-driven channel configurations. Through investigation of particle modification on two distinct flow configurations, we were able to show the specific response of turbulent structures and the modulation of the fundamental mechanisms composing the regeneration cycle of turbulence in the buffer layer of near-wall region. Especially for pressure-driven flow, the particles enhance the lift-up and let it act continuously whereas the particles do no significantly alter the streak breakdown process. It is observed that particles increase the transverse r.m.s. flow velocity fluctuations and they break down the flow coherent structures into smaller, more numerous and sustained eddies, preventing the flow to relaminarize at the single-phase critical Reynolds number.

Suspension dynamics at low Reynolds number

Particles clogging the entrance of a pore
Particles clogging the entrance of a pore

The dynamic formation of 3D structures of microparticle aggregates blocking the flow through straight microchannels or pore entrance is investigated by direct numerical simulation of the coupled motion of particles and fluid. We use the Force Coupling Method to handle simultaneously multibody hydrodynamic interactions of confined flowing suspension together with particle–particle and particle–wall surface interactions leading to adhesion and aggregation of particles. We show that physical–chemical interactions, modeled by DLVO forces, are essential features which control the blockage dynamics and aggregate structure. In the absence of DLVO repulsive forces, plugging is characterized by the temporal reduction of the bulk permeability when increasing the volume fraction of the flowing suspension up to 20%. The network of jammed particles collapses when the force chains among the particles overcome the flow stress. The build-up and the collapse of the jammed phase at the pore entrance induce temporal permeability fluctuations.

The history force for droplets

Streamlines for a droplet in an oscillatory flow
Streamlines for a droplet in an oscillatory flow

The forces experienced by a droplet embedded in an unsteady flow can be listed as follows: steady drag, inertial or pressure gradient force, added-mass effect, and history force. We consider the Basset-Boussinesq (history) force experienced by a spherical viscous fluid sphere. The kernel of the Basset-Boussinesq force has not been determined so far when internal circulation of the fluid occurs. The contribution of the history force acting on a spherical droplet in an oscillatory flow is determined using direct numerical simulation (DNS). By changing the flow oscillation frequency, we can determine the range of parameters for which the contribution of the history force is significant. Variation of the viscosity ratio makes the analysis relevant to bubbles, droplets, and solid particles. Combining the analytical expression of the Basset-Boussinesq kernel obtained for a solid sphere with interface slip and the description of the slip at the fluid-fluid interface, we were able to determine for the first time the Basset-Boussinesq history force acting on a spherical drop. This expression has been validated over a wide range of viscosity ratio from bubbles to viscous drops and particles.

Heat and Mass transfer, Chemical Reactions

Mass transfer around particles
Mass transfer around particles

We study mass transfer towards a solid spherical catalyst particle experiencing a first order irreversible reaction coupled to an external laminar flow. Chemical species get diffused from fluid phase to solid phase through the particle surface where an internal first order irreversible chemical reaction takes place within the porous catalyst particles. Then, we study mass transfer through random assemblies of fixed spherical catalyst particles experiencing an external convective-diffusive fluid stream. We address the problem by performing direct numerical simulations with fully internal-external coupling using concentration and flux continuity boundary conditions at the solid-fluid interface. We derive a model for the profiles of cup-mixing concentration, the average of mean surface and the average of mean volume concentration of the particles along the bed.

Mass transfer around droplets

Mass transfer from a moving droplet
Mass transfer from a moving droplet

Many key physical parameters (such as the viscosity ratio, diffusivity ratio, flow configuration, and kinetics of chemical reaction) may impact directly both the hydrodynamics of the flow inside and outside the droplet yielding extraction efficiency variations. A wide numerical investigation has been carried out using Direct Numerical Simulations to investigate the coupling between the internal and the external flows and their respective effects on the overall mass transfer coefficient. The CFD code, developed at IMFT, was adapted and used to this aim including the effect of chemical reaction. Original simulations have been made to investigate the interaction between the internal and the external flows related to the motion of a single droplet, and the evolution of the Sherwood number through the influence of the dimensionless numbers that control the physical system (Reynolds, Schmidt and Hatta numbers). Drastic changes of the internal and external resistances to mass transfer with increasing values of the Péclet number were predicted. Under specific flow conditions, 3D instabilities of internal and external fluid circulations were observed leading to drastic modifications of mass transfer.

Bubbly flows

Turbulent structures in a Taylor-Couette flow
Turbulent structures in a Taylor-Couette flow

We investigate bubble dispersion in turbulent Taylor-Couette flow. The aim of this study is to describe the main mechanisms yielding preferential bubble accumulation in near-wall structures of the flow. The simulations are compared and validated with experimental and numerical data from literature. The second part of this study is devoted to bubble dispersion. Bubble accumulation is analyzed by comparing the dispersion obtained with the full turbulent flow field to bubble dispersion occurring at lower Reynolds numbers in previous works. Several patterns of preferential accumulation of bubbles have been observed depending on bubble size and the effect of gravity.

Mixing in particulate suspension

PLIF measurements of mixing in Taylor vortices
PLIF measurements of mixing in Taylor vortices

The flow and mixing in a Taylor–Couette device have been characterized by means of simultaneous particle image velocimetry and planar laser-induced fluorescence (PLIF) measurements. Concentration of a passive tracer measurements was used to investigate mixing efficiency for different flow patterns. Neutrally buoyant particles with increasing volume concentration enhance significantly mixing of a passive tracer injected within the gap between two concentric cylinders. To achieve reliable experimental data, index matching of both phases is used together with a second PLIF channel. From this second PLIF measurements, dynamic masks of the particle positions in the laser sheet are determined and used to calculate accurately the segregation index of the tracer concentration. Experimental techniques have been thoroughly validated through calibration and robustness tests. Three particle sizes were considered, in two different flow regimes to emphasize their specific roles on the mixing dynamics.

Phytoplanton in turbulence

Preferential accumulation of phytoplankton cells in turbulence
Preferential accumulation of phytoplankton cells in turbulence

The motility of microorganisms is often biased by gradients in physical and chemical properties of their environment, with myriad implications on their ecology. Patchiness plays a fundamental role in phytoplankton ecology by dictating the rate at which individual cells encounter each other and their predators. We demonstrate experimentally that Heterosigma akashiwo forms striking patches within individual vortices and prove with a mathematical model that this patchiness results from the coupling between motility and shear. We show that fluid acceleration or gravity reorient gyrotactic plankton, triggering small-scale clustering. We experimentally demonstrate this phenomenon by studying the distribution of the phytoplankton Chlamydomonas augustae within a rotating tank and find it to be in good agreement with a new, generalized model of gyrotaxis. When this model is implemented in a direct numerical simulation of turbulent flow, we find that fluid acceleration or gravity generates multifractal plankton clustering, with faster and more stable cells producing stronger clustering.

Active suspensions

Collective dynamics of active squirmers
Collective dynamics of active squirmers

We present a new development of the force-coupling method (FCM) to address the accurate simulation of a large number of interacting micro-swimmers. Our approach is based on the squirmer model, which we adapt to the FCM framework, resulting in a method that is suitable for simulating semi-dilute squirmer suspensions. Other effects, such as steric interactions, are considered with our model. Using this methodology, we investigate the emergence of polar order in a suspension of squirmers and show that for large domains, both the steady-state polar order parameter and the growth rate of instability are independent of system size.

Centrifugal separation of solid-liquid suspensions

Particle spatial distribution in a hydrocyclone
Particle spatial distribution in a hydrocyclone

There are many circumstances where hydrocyclone performance and dense flow are intertwined, such as for example when feed solids flow exceeds hydrocyclone capacity during continuous operations. The work reported here, which is part of an ongoing research effort to develop a robust CFD model for prediction of hydrocyclone performance, focuses on hydrocyclone operation under high solids concentration. The paper presents the basic physics framework that accounts for solid–liquid and solid–solid interactions under hydrocyclone’s swirling flow. Operating conditions that are past the transition from spray to rope regime are deliberately chosen for this purpose. Model predictions are validated by comparison with solids split and separation curves measured on a 100 mmdiameter hydrocyclone. CFD model predictions permit taking an insightful look at the inside of a hydrocyclone under extreme operating conditions, which would be difficult to achieve experimentally.

List of publications

Bibliometry
Bibliometry from GoogleScholar from January 2024

Flows of particulate suspensions

Adhesion of microparticles in a channel flow
Adhesion of microparticles in a channel flow
Couette shear flow with oblate particles
Couette shear flow with oblate particles
  1. Near-wall dynamics of a neutrally-buoyant spherical particle in an axisymmetric stagnation point flow (2020) Q. Li, M. Abbas, J.F. Morris, E. Climent, J. Magnaudet. J. Fluids Mech., 892, A32. See publication
  2. Numerical modelling of long flexible fibers in homogeneous isotropic turbulence. M Sulaiman, E. Climent, B. Delmotte, P. Fede, F. Plouraboué, G. Verhille (2019) Eur. Phys. J. E (2019) 42: 132. See publication
  3. Modulation of the regeneration cycle by neutrally buoyant finite-size particles. G. Wang, M. Abbas and E. Climent (2018) J. Fluids Mech., Vol. 852, 257-282. See publication

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  1. Modelling of particle wet milling in a stirred tank using CFD/PBE coupled approach. Z. Mercier, P. Fede, M. Pigou, J-Ph. Bayle and E. Climent. (2024) Multiphase Science and Technology, 36(1):1–12.
  2. From hydrodynamic to granular regime: Particle laden flows around a cylinder. D. Schuster, E. Climent and U. Rüde, (2023) Int. J. Multiphase Flows., 165, 104487
  3. Near-wall dynamics of a neutrally-buoyant spherical particle in an axisymmetric stagnation point flow (2020) Q. Li, M. Abbas, J.F. Morris, E. Climent, J. Magnaudet. J. Fluids Mech., 892, A32. See publication
  4. Multi-fluid approach for the numerical prediction of wall erosion in an elbow. W. Yu, P. Fede, E. Climent, S. Sanders. (2019) Powder Tech., 354, pp. 561-583. See publication
  5. Numerical modelling of long flexible fibers in homogeneous isotropic turbulence. M Sulaiman, E. Climent, B. Delmotte, P. Fede, F. Plouraboué, G. Verhille (2019) Eur. Phys. J. E (2019) 42: 132. See publication
  6. Assessment of numerical methods for fully resolved simulations of particle-laden turbulent flows (2019) J. C. Brandle de Motta, P. Costa, J. J. Derksen, C. Peng, L.-P. Wang, W.-P. Breugem, J. L. Estivalezes, S. Vincenti, E. Climent, P. Fede, P. Barbaresco, N. Renon. Computers & Fluids, 179, 1–14. See publication
  7. Non spherical and inertial particles in Couette turbulent large scale structures. G. Wang, M. Abbas, Z. Yu, A. Pedrono, E. Climent. (2019) M. Gorokhovski and F. S. Godeferd (eds.), Turbulent Cascades II, ERCOFTAC Series 26, See publication
  8. Finite-size particles in a turbulent Couette flow: the effect of particle shape and inertia. G. Wang, M. Abbas, Z. Yu, A. Pedrono, E. Climent. (2018) Int. J. Multiphase Flows. 107 (2018), pp. 168-181. See publication
  9. Modulation of the regeneration cycle by neutrally buoyant finite-size particles. G. Wang, M. Abbas and E. Climent (2018) J. Fluids Mech., Vol. 852, 257-282. See publication
  10. Modulation of large-scale structures by neutrally buoyant and inertial finite-size particles in turbulent Couette flow. G. Wang, M. Abbas and E. Climent (2017) Phys. Rev. Fluids. 2, 084302.
  11. Controlling the quality of two-way Euler/Lagrange numerical modeling of bubbling and spouted fluidized beds dynamics (2017) Indus. & Eng. Chem. Res. M. Bernard, E. Climent, A. Wachs. – 56 (1), pp 368–386. See publication
  12. Local dissipation properties and collision dynamics in a sustained homogeneous turbulent suspension composed of finite size particles (2016) – J. Brandle de Motta, J-L. Estivalezes, E. Climent, S. Vincent – Int. J. Multiphase Flows 85, pp.369-379. See publication
  13. A few fundamental aspects related to the modelling of an accidental massive jet release of nanoparticles. H.D. Le, P. Fede, E. Climent, B. Truchot, J.-M. Lacome, A. Vignes. Chemical engineering transactions, vol 48, 2016
  14. Inertia-driven particle migration and mixing in a channel suspension laminar flow. V. Loisel, M. Abbas, O. Masbernat and E. Climent. (2015) Physics of Fluids, 27, 123304 (2015). See publication
  15. Fully-resolved simulations of the flow through a packed bed of cylinders: effect of size distribution. F. Dorai; C.M. Teixeira; M. Rolland; E. Climent; M. Marcoux; A. Wachs (2015) Chem. Eng. Sc. (129), 180–192. See publication
  16. Collective dynamics of flowing colloids during pore clogging. C. Agbangla, E. Climent and P. Bacchin. (2014) Soft Matter, (10), 6303-6315. See publication
  17. Numerical investigation of channel blockage by flowing microparticles. C. Agbangla, E. Climent and P. Bacchin Computers & Fluids (2014), 94C, pp. 69-83. See publication
  18. A Lagrangian Volume of Fluid tensorial penalty method for the direct numerical simulation of resolved particle-laden flows. S. Vincent, J. Brandle de Motta, A. Sarthou, J.-L. Estivalezes, O. Simonin and E. Climent. J. Comp. Physics (2014), 256 - pp. 582-614. See publication
  19. The effect of neutrally-buoyant finite-size particles on channel flows in the laminar-turbulent transition regime. V. Loisel, M. Abbas, O. Masbernat and E. Climent. Physics of Fluids, 25, 123304 (2013). See publication
  20. Numerical modelling of finite-size particle collisions in a viscous fluid. J. Bandle de Motta, W.- P. Breugem, B. Gazanion, J.-L. Estivalezes, S. Vincent and E. Climent. Physics of Fluids (2013) Vol.25, 083302. See publication
  21. Experimental investigation of pore clogging by microparticles: evidence for a critical flux density of particle yielding arches and deposits. G.C. Agbangla, E. Climent, P. Bacchin, Separ. Purif. Technol. (2012), vol. 101 . pp. 42-48. See publication
  22. Adhesion and detachment fluxes of micro-particles from a permeable wall under turbulent flow conditions. R. Maniero, E. Climent, P. Bacchin. Chem. Eng. Sciences (2012), 71, 409-421. See publication
  23. Flow of particles suspended in a sheared viscous fluid: effects of finite inertia and inelastic collisions. (2010) M. Abbas, E. Climent, J-F Parmentier, O. Simonin, AIChE Journal, Vol. 56, 10 , 2523-2538. See publication
  24. Two colliding grinding beads: Experimental flow fields and particle capture efficiency. (2010) R. Gers, D. Anne-Archard, E. Climent, D. Legendre, C. Frances. Chem. Eng. and Tech., Volume 33, Issue 9, September, 2010, Pages: 1438–1446. See publication
  25. Numerical modelling of grinding in a stirred media mill: Hydrodynamics and Collision characteristics (2010) R. Gers, E. Climent, D. Legendre, D. Anne-Archard, C. Frances. Chem. Eng. Sciences Volume 65, Issue 6, 15 March 2010, Pages 2052-2064. See publication
  26. Shear-induced self-diffusion of inertial particles in a viscous fluid. M. Abbas, E. Climent And O. Simonin, (2009) Phys. Rev. E. - 79, 036313. See publication
  27. The Force Coupling Method: A flexible approach for the simulation of particulate flows, E. Climent & M.R. Maxey, (2009) inserted in “Theoretical Methods for Micro Scale Viscous Flows”, Ressign Press, Eds F. Feuillebois and A. Sellier (ISBN: 978-81-7895-400-4).
  28. Ultrafine aerosol generation from free falling nanopowders: experiments and numerical modelling, N. Ibaseta, E. Climent & B. Biscans, (2008). Int. J. Chem. React. Eng., Vol. 6, A24. See publication
  29. Dynamic Self-Assembly of Spinning Particles, E. Climent, K.M. Yeo, M.R. Maxey & G.E. Karniadakis, 2007. J. of Fluids. Eng., Vol 129, p. 379. See publication
  30. Fully coupled simulations of non-colloidal monodisperse sheared suspensions, M. Abbas, E. Climent & O. Simonin, 2007. IChemE Journal, ChERD. Vol 85, A3, p. 1-15. See publication
  31. Dynamics of bidisperse suspensions under Stokes flows: Linear shear flow and Sedimentation, M. Abbas, E. Climent, O. Simonin & M. R. Maxey, 2006. Physics of Fluids. 18, p. 121504. See publication
  32. Dynamics of self-assembled chaining in magneto-rheological fluids. E. Climent, M.R. Maxey & G.E. Karniadakis, 2004. Langmuir. No 20, p. 507-513
  33. Collision barrier effects on the bulk flow in a random suspension. S.L Dance, E. Climent & M.R. Maxey, 2004. Physics of Fluids. Vol 16 (3), p. 828-831.
  34. Numerical simulations of random suspensions at finite Reynolds number. E. Climent & M.R. Maxey, 2003. Int. J. Multiphase Flows, Vol 29, p. 579-601.

Bubbles and drops

Turbulent structures in Taylor-Couette flow
Turbulent structures in Taylor-Couette flow
ubble accumulation in near-wall streaky structures
Bubble accumulation in near-wall streaky structures
  1. The Basset-Boussinesq history force of a fluid sphere. D. Legendre, A. Rachih, C. Souilliez, S. Charton and E. Climent (2019) Phys. Rev. Fluids. 4, 073603. See publication
  2. Drag modulation in turbulent boundary layers subject to different bubble injection strategies (2019) S. Rawat, A. Chouippe, R. Zamansky, D. Legendre, E. Climent – Computers & Fluids. 178, 73-87. See publication
  3. Numerical simulation of bubble dispersion in turbulent Taylor-Couette flow. (2014) A.Chouippe, E.Climent, D. Legendre and C. Gabillet, Physics of Fluids, 26, 043304 (2014). * Phys. Fluids Research Highlights – within 10 most accessed articles in 2014. See publication

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  1. The Basset-Boussinesq history force acting on a drop in an oscillatory flow. H. Godé, D. Legendre, S. Charton and E. Climent (2023) Phys. Rev. Fluids. 8, 073605.
  2. The Basset-Boussinesq history force of a fluid sphere. D. Legendre, A. Rachih, C. Souilliez, S. Charton and E. Climent (2019) Phys. Rev. Fluids. 4, 073603. See publication
  3. Drag modulation in turbulent boundary layers subject to different bubble injection strategies (2019) S. Rawat, A. Chouippe, R. Zamansky, D. Legendre, E. Climent – Computers & Fluids. 178, 73-87. See publication
  4. Numerical simulation of bubble dispersion in turbulent Taylor-Couette flow. (2014) A.Chouippe, E.Climent, D. Legendre and C. Gabillet, Physics of Fluids, 26, 043304 (2014). * Phys. Fluids Research Highlights – within 10 most accessed articles in 2014. See publication
  5. Modeling and simulation of inertial drop break-up in a turbulent pipe flow downstream of a restriction. R. Maniero, O. Masbernat, E. Climent and F. Risso. (2012). Int. J. of Multiphase flows, 42, 1-8. See publication
  6. Modulation of homogeneous turbulence seeded with finite size bubbles or particles (2010) K. Yeo, S. Dong, E. Climent, M.R. Maxey, Int. J. of Multiphase flows, 36, 221–233. See publication
  7. Preferential accumulation of bubbles in Couette-Taylor flow patterns. E. Climent, M. Simonnet & J. Magnaudet, 2007 Physics of Fluids, 19, p. 083301. See publication
  8. Dynamics of a two-dimensional upflowing mixing layer seeded with bubbles: Bubble dispersion and effect of two-way coupling. E. Climent & J. Magnaudet, 2006. Physics of Fluids. 18, p. 103304. See publication
  9. Two-way coupling simulations of instabilities in a plane bubble plume. O. Caballina, E. Climent & J. Dusek, 2003. Physics of Fluids, Vol 15 (6), p. 1535-1544.
  10. Large-scale simulations of bubble-induced convection in a liquid layer. E. Climent & J. Magnaudet, 1999. Physical Review Letters Vol 82, No 24, pp. 4827-4830.
  11. Modifications d'une couche de mélange verticale par la présence de bulles. E. Climent & J. Magnaudet, 1998. C. R. Acad. Sc. Paris, t. 326. Série II B, pp. 627-634.
  12. Simulation d’écoulements induits par des bulles dans un liquide au repos. E. Climent & J. Magnaudet, 1997. C. R. Acad. Sc. Paris, t. 324. Série II B, pp 91-98.

Transfer, Reaction and Mixing

Mixing in Taylor-Couette vortex with particles
Mixing in Taylor-Couette vortex with particles
Heat transfer in a fluidized bed of particles
Heat transfer in a fluidized bed of particles
  1. Numerical study of conjugate mass transfer from a spherical droplet at moderate Reynolds number. (2020) A. Rachih, E. Climent, D. Legendre, S. Charton. Int. J. of Heat and Mass Transfer, 157, 119958. See publication
  2. Numerical simulations and modelling of mass transfer through random assemblies of catalyst particles: from dilute to dense reactive particulate regime (2020) M. Sulaiman, E. Climent, A. Wachs, A. Hammouti. Chem. Eng. Science, 223, 115659. See publication
  3. Experimental investigation of mixing efficiency in particle laden Taylor-Couette flows. Z. Rida, S. Cazin, F. Lamadie. D. Dherbécourt, S. Charton, E. Climent (2019), Experiments in Fluids. 60:61 See publication

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  1. Towards more predictive correlations for conjugated mass transfer across a droplet interface. H. Godé, E. Climent, D. Legendre, S. Charton. (2023). Chem. Eng. Journal , 478,147110. See Corrigendum
  2. Filtering Particle-resolved simulation data to determine local heat transfer coefficients in a flow through a fixed bed of spherical particles (2021) F. Euzenat, A. Hammouti, E. Climent, P Fede, A. Wachs. Int. J. of Heat and Fluid Flow, 92, 108873. See publication
  3. Numerical study of conjugate mass transfer from a spherical droplet at moderate Reynolds number. (2020) A. Rachih, E. Climent, D. Legendre, S. Charton. Int. J. of Heat and Mass Transfer, 157, 119958. See publication
  4. Numerical simulations and modelling of mass transfer through random assemblies of catalyst particles: from dilute to dense reactive particulate regime (2020) M. Sulaiman, E. Climent, A. Wachs, A. Hammouti. Chem. Eng. Science, 223, 115659. See publication
  5. Experimental investigation of mixing efficiency in particle laden Taylor-Couette flows. Z. Rida, S. Cazin, F. Lamadie. D. Dherbécourt, S. Charton, E. Climent (2019), Experiments in Fluids. 60:61 See publication
  6. Particle-resolved numerical simulations of the gas-solid heat transfer in arrays of random motionless particles. E.I. Thiam, E. Masi, E. Climent, O. Simonin and S. Vincent. (2019) Acta Mechanica. 230, 541-567 See publication
  7. Coupling the fictitious domain and sharp interface methods for the simulation of convective mass transfer around reactive particles: towards a reactive Sherwood number correlation for dilute systems. M. Sulaiman, E. Climent, A. Hammoutti, A. Wachs. (2019), Chem. Eng. Science. 198, 334-335 See publication
  8. Mass transfer towards a reactive particle in a fluid flow: numerical simulations and modeling. M. Sulaiman, E. Climent, A. Hammoutti, A. Wachs. (2019), Chem. Eng. Science. 199, 496-507 See publication
  9. Experimental study of enhanced mixing induced by particles in Taylor-Couette flows. D. Dherbecourt, S. Charton, F. Lamadie, S. Cazin, E. Climent. (2016) IChemE Journal, ChERD Volume 108, Pages 109–117. See publication
  10. Mixing and axial dispersion in Taylor-Couette flows : the effect of the flow regime. M. Nemri, S. Charton, E. Climent. (2016) – Chem. Eng. Sc., 139, pp. 109-124. See publication
  11. Mass transfer enhancement by a reversible chemical reaction across the interface of a bubble rising under Stokes flow. F. Pigeonneau, M. Perrodin and E. Climent (2014), AIChE Journal, Volume 60, Issue 9, pages 3376–3388. See publication
  12. Experimental investigation of mixing and axial dispersion in Taylor-Couette flow patterns. M. Nemri, S. Cazin, S. Charton and Eric Climent. (2014) Experiments in Fluids – Vol. 55, Issue 7, 1769. See publication
  13. Experimental and Numerical investigation on mixing and axial dispersion in Taylor-Couette flow patterns. M. Nemri, E. Climent, S. Charton, J.-Y. Lanoë, D. Ode. IChemE Journal, ChERD Manuscript: Vol. 91, 12 – 2346-2354 (2012). See publication

Micro-organisms and active suspensions

Preferential accumulation of Plankton cells in turbulence
Preferential accumulation of Plankton cells in turbulence
Dispersion of passive tracer particles in an active suspension
Dispersion of passive tracer particles in an active suspension
  1. Chain formation can enhance the vertical migration of phytoplankton through turbulence. S. Lovecchio, E. Climent, R. Stocker and W. M. Durham. Sci. Adv. 5, eaaw7879 (2019). See publication
  2. Large-scale simulation of steady and time-dependent active suspensions with the force-coupling method. (2015) B. Delmotte, E. E. Keaveny, F. Plouraboué, E. Climent. J. Comp. Phys. 302, 524–547. See publication
  3. Turbulent fluid acceleration generates clusters of gyrotactic microorganisms. F. De Lillo, M. Cencini, W.M. Durham, Barry, R. Stocker, E. Climent and G. Boffetta (2014). Physical Review Letters – 112, 044502. Selected by the editors of PRL for a Focus in Physics article. See publication

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  1. Clustering of settling microswimmers in turbulence. Qiu, Z. Cui, E. Climent, and L. Zhao. (2023). Nonlinear Processes in Geophysics See publication
  2. Fluid inertia is an effective gyrotactic mechanism for settling elongated micro-swimmers J. Qiu, Z. Cui, E. Climent, and L. Zhao. (2022) Phys. Rev. Research 4, 023094.
  3. Experimental investigation of preferential concentration in zooplankton swimming in turbulence. F.-G. Michalec, O. Praud, S. Cazin, and E. Climent (2022). Eur. Phys. J. E 45:12.
  4. Chain formation can enhance the vertical migration of phytoplankton through turbulence. S. Lovecchio, E. Climent, R. Stocker and W. M. Durham. Sci. Adv. 5, eaaw7879 (2019). See publication
  5. Hydrodynamic mechanisms of Brownian tracer transport in semi-dilute cell suspensions. B. Delmotte, E. E. Keaveny, E. Climent, F. Plouraboué, (2018) IMA J. of App. Math. Vol. 83, 4: 680–699. See publication
  6. Identification of internal properties of fibers and micro-swimmers (2017), F. Plouraboué, E.I.Thiam, B. Delmotte and E. Climent, Proc. R. Soc. A – 473: 20160517. See publication
  7. Large-scale simulation of steady and time-dependent active suspensions with the force-coupling method. (2015) B. Delmotte, E. E. Keaveny, F. Plouraboué, E. Climent. J. Comp. Phys. 302, 524–547. See publication
  8. A general formulation of Bead Models applied to flexible fibers and active filaments at low Reynolds number (2015) B. Delmotte, E. Climent, F. Plouraboué. J. Comp. Phys. 286, 14 –37. See publication
  9. Turbulent fluid acceleration generates clusters of gyrotactic microorganisms. F. De Lillo, M. Cencini, W.M. Durham, Barry, R. Stocker, E. Climent and G. Boffetta (2014). Physical Review Letters – 112, 044502. Selected by the editors of PRL for a Focus in Physics article. See publication
  10. Hydrodynamic interactions among large populations of swimming micro-organisms (2013) B. Delmotte, E. Climent, F. Plouraboué. Computer methods in biomechanics and biomedical engineering 16 (sup1), 6-8. See publication
  11. Turbulence drives microscale patches of motile phytoplankton. W. M. Durham, E. Climent, M. Barry, F. De Lillo G. Boffetta, M. Cencini and R. Stocker. Nature Communications (2013) – 4:2148 - doi: 10.1038/ncomms3148. Highlighted Article, Human Frontier Science Program See publication
  12. Gyrotaxis in a steady vortical flow. W.M. Durham, E. Climent and R. Stocker. (2011). Physical Review Letters – 106, 238102 (2011). See publication

Centrifugal separation of solid-liquid suspensions

Spray discharge at the underflow of an hydrocyclone
Spray discharge at the underflow of a hydrocyclone
Particle spatial distribution in a hydrocyclone
Particle spatial distribution in a hydrocyclone
  1. Mechanistic modelling of water partitioning behaviour in hydrocyclone. C. Bannerjee, E. Climent, A. K. Majumder - Chem. Eng. Sciences (2016), Volume 152, Pages 724–735. See publication
  2. Performance monitoring of a hydrocyclone based on underflow discharge angle - R. K. Dubey, E. Climent, C. Banerjee, A. K. Majumder, (2016) International Journal of Mineral Processing, Volume 154, Pages 41–52. See publication
  3. Physical analysis and modelling of the Falcon concentrator for ultrafines beneficiation. J.-S. Kroll-Rabotin; F. Bourgeois; E. Climent. Int. J. of Mineral Processing (2013) Vol. 121, 39-50. See publication

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  1. Velocity measurements inside a hydrocyclone using particle image velocimetry (PIV). C. Banerjee, K. Chaudhury, E. Cid, E. Climent and A. K. Majumder (2023) ISHMT-ASTFE special issue
  2. Oscillation dynamics of the air-core in a hydrocyclone. C. Bannerjee, K. Chaudhury, E. Cid, E. Climent, F. Bourgeois, S. Chakraborty, A.K. Majumder. (2022) Phys. Fluids 34, 092106.
  3. A study on the relationship between upstream and downstream conditions in swirling two-phase flow. B. Sahovic, H. Atmani, P. Wiedemann, E. Schleicher, D. Legendre, E. Climent, R. Zamansky, A. Pedrono, U. Hampel (2020) Flow Measurement and Instrumentation, 74, 101767. See publication
  4. Controlled inline fluid separation based on smart process tomography sensors. B. Sahovic, H. Atmani, P. Wiedemann, E. Schleicher, D. Legendre, E. Climent, R. Zamansky, A. Pedrono, U. Hampel (2020) Chemie Ingenieur Technik. 92, n° 5, 554–563. See publication
  5. Mechanistic modelling of water partitioning behaviour in hydrocyclone. C. Bannerjee, E. Climent, A. K. Majumder - Chem. Eng. Sciences (2016), Volume 152, Pages 724–735. See publication
  6. Performance monitoring of a hydrocyclone based on underflow discharge angle - R. K. Dubey, E. Climent, C. Banerjee, A. K. Majumder, (2016) International Journal of Mineral Processing, Volume 154, Pages 41–52. See publication
  7. Physical analysis and modelling of the Falcon concentrator for ultrafines beneficiation. J.-S. Kroll-Rabotin; F. Bourgeois; E. Climent. Int. J. of Mineral Processing (2013) Vol. 121, 39-50. See publication
  8. Analysis of swirling flow in hydrocyclones operating under dense regime. A. Davailles, E. Climent, F. Bourgeois, A.K. Majumder. Minerals Engineering (2012), 31; 32–41. See publication
  9. Fundamental understanding of swirling flow pattern in hydrocyclones. A. Davailles, E. Climent, F. Bourgeois. Separ. Purif. Technol. (2012), 92 , 152–160. See publication
  10. Experimental validation of a fluid dynamics based model of the UF Falcon concentrator in the ultrafine range, J.-S. Kroll-Rabotin; F. Bourgeois; E. Climent. Separ. Purif. Technol. (2012), Volume 92, 18 May 2012, Pages 129-135. See publication
  11. Beneficiation of concentrated ultrafine suspensions with a Falcon UF concentrator. J.-S. Kroll-Rabotin; F. Bourgeois; E. Climent, Canadian Institute of Mining, Metallurgy and Petroleum Can. Inst. Mining, Metallurgy and Petroleum Journal Volume 2, Issue 4, (2011). See publication
  12. Fluid dynamics based modeling of the Falcon concentrator for ultrafine particle beneficiation (2010) J.-S. Kroll-Rabotin; F. Bourgeois; E. Climent, Minerals Engineering Volume 23, Issue 4, March 2010, Pages 313-320. See publication

Flow instabilities

  1. Stochastic wall model for turbulent pipe flow using Immersed Boundary Method and Large Eddy Simulation (2020) H. Atmani, R. Zamansky, E. Climent, D. Legendre under revision for Computers & Fluids.
  2. Experimental study of backflow air leakage through an opening from a depressurized enclosure by Z. Rida, S. Kaissoun, C. Prevost, T. Gelain and E. Climent accepted in J. Nuclear Sc. and Tech.

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  1. Unexpected trends of lift for hydrofoils with superhydrophobic coatings. (2023) A. Shahsavari, A. Nejat, E. Climent, S. F. Chini. Eur. J. Fluids Mech. B 101, 219-226.
  2. Using genetic algorithm to find the optimum piecewise superhydrophobic pattern maximizing the lift to drag ratio on a SD 7003 foil at different working conditions (2023) A. Shahsavari, A. Nejat, E. Climent, S. F. Chini. Ocean engineering 278, 114438.
  3. Stochastic wall model for turbulent pipe flow using Immersed Boundary Method and Large Eddy Simulation (2020) H. Atmani, R. Zamansky, E. Climent, D. Legendre under revision for Computers & Fluids.
  4. Experimental study of backflow air leakage through an opening from a depressurized enclosure by Z. Rida, S. Kaissoun, C. Prevost, T. Gelain and E. Climent accepted in J. Nuclear Sc. and Tech.
  5. Unsteady behavior of a confined jet in a cavity at moderate Reynolds numbers. G. Bouchet and E. Climent. Fluids Dyn. Res. 44 (2012) 025505. See publication
  6. Instability of a confined jet impinging on a water/air free surface. G. Bouchet, E. Climent & A. Maurel, 2002. Europhysics Letters, Vol 59 (6), p. 827-833.

Teaching experiences

Eric Climent teaching

Bachelor and Master courses at ENSEEIHT

Introduction to Fluid Mechanics / Initiation to Turbulence / The Boundary layer theory / Low Reynolds number flows / Multiphase flows / Separation technics / Transport Phenomena (heat and mass transfer) / Coupling fluids mechanics with chemical reactions

Numerical analysis (basic and advanced courses on CFD) / Using Matlab for scientific computing / Finite difference and Finite volume methods /

Head of International Master Fluids Engineering for Industrial Processes (INPT-INSA) MSc website for more information

International teaching – more than 15 courses in foreign universities

2018-2019-2020: Invited professor at Tsinghua University, China – Bachelor and Master courses (Fundamentals of Fluid Mechanics /Two-phase flows modelling and simulations)

2013 to 2016 International GLOBEX program – (Peking Univ., Beijing – China) – « Computational Two-Phase Flows »

2015 GIAN courses (IIT Kharagpur / India) 2015 – Flows of suspensions and separation technics. Global Initiative of Academic Networks - http://www.gian.iitkgp.ac.in/

international summer & winter term

2013 Conferences at CISM (Udine, Italie) « Non-Spherical Particles and Aggregates in Fluid Flows »

Conference in the european COST action « flowing matter »: The force coupling method for the simulation of suspensions dynamics

6 courses in Central and South America (UMSA Bolivia, UNSM Peru, UNAM Mexico) : numerical analysis in fluids mechanics, matlab for ode and pde