En cliquant sur le bouton ci-dessous, vous pouvez consulter la liste des dernières publications scientifiques du laboratoire dans la "Collection HAL du M2P2" qui permet de faire des recherches par année, auteur, type de document (article scientifique, ouvrage, chapitre d'ouvrage, actes de conférence...), etc.
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Yaxin Shen, Mitra Fouladirad, Antoine Grall. Mathematical modeling of solar farm performance degradation in a dynamic environment for condition-based maintenance. Reliability Engineering and System Safety, 2025, 257, pp.110778. ⟨10.1016/j.ress.2024.110778⟩. ⟨hal-05023346⟩ Plus de détails...
Yaxin Shen, Mitra Fouladirad, Antoine Grall. Mathematical modeling of solar farm performance degradation in a dynamic environment for condition-based maintenance. Reliability Engineering and System Safety, 2025, 257, pp.110778. ⟨10.1016/j.ress.2024.110778⟩. ⟨hal-05023346⟩
Journal: Reliability Engineering and System Safety
Polymorphism control in crystallization processes is critical for ensuring the final quality of active pharmaceutical ingredients (APIs). In the present research, the solvent-mediated phase transformation (SMPT) of paracetamol, a widely used API, from its metastable form II to the stable form I during seeded batch cooling crystallization in isopropyl alcohol/water solution is investigated. The study explores the utility of offline FT-NIR spectroscopy and an inline PAT Blaze900 probe to detect paracetamol polymorphs and monitor polymorphic changes. Key findings demonstrate that FT-NIR offers a robust offline alternative for polymorphism detection and monitoring. The PAT Blaze900 recordings, in terms of chord length counts and distributions, also provide additional information about form II SMPT and are in accordance with the FT-NIR prediction model output. The SMPT kinetics are influenced by operational parameters such as supersaturation and operational and cooling temperature. Optimization of these parameters enabled better control over the SMPT kinetics, paving the way for efficient stabilization of paracetamol metastable form II to 30 min before complete conversion to the most stable form I.
Carla Kalakech, Asma Madmar, Emilie Gagnière, Géraldine Agusti, Denis Mangin, et al.. Monitoring of Paracetamol Solvent-Mediated Phase Transformation in Seeded Batch Crystallization Processes. Crystal Growth & Design, 2025, ⟨10.1021/acs.cgd.4c01650⟩. ⟨hal-05006905⟩
Zohra Laggoune, Yasmine Masmoudi, Seyed Ali Sajadian, Elisabeth Badens. Sirolimus solubility in supercritical carbon dioxide: Measurement and modeling.. Journal of CO2 Utilization, 2025, 93, pp.103034. ⟨10.1016/j.jcou.2025.103034⟩. ⟨hal-04954883⟩ Plus de détails...
The solubility of drugs in supercritical carbon dioxide is a key parameter in their processing. This study focuses on sirolimus, an immunosuppressive drug used in organ transplantation. Its solubility in supercritical carbon dioxide was measured using a static gravimetric method. Measurements were carried out at pressures ranging from 12.5 MPa to 25.0 MPa and temperatures from 313 K to 328 K. The findings revealed a molar fraction range of sirolimus between 1.20 × 10 6 and 2.73 × 10 6 and a direct solubility behavior in the investigated domain. The experimental data were correlated using several models. These included semi-empirical density-based models (Chrastil, Mendez-Santiago and Teja, Bartle et al., Kumar and Johnston, Sparks et al., and Sodeifian et al.), as well as equation of state-based models (Soave-Redlich-Kwong and Peng-Robinson). The results indicated that Sparks et al. and Soave-Redlich-Kwong showed the lowest average absolute relative deviation (AARD%) and the corrected correlation coefficient (Radj) of 4.12 %, 0.978 and 05.18 %, 0.980 respectively.
Zohra Laggoune, Yasmine Masmoudi, Seyed Ali Sajadian, Elisabeth Badens. Sirolimus solubility in supercritical carbon dioxide: Measurement and modeling.. Journal of CO2 Utilization, 2025, 93, pp.103034. ⟨10.1016/j.jcou.2025.103034⟩. ⟨hal-04954883⟩
Jingqi Zhang, Mitra Fouladirad, Nikolaos Limnios. Sensitivity analysis of an imperfect maintenance policy for Proton-exchange membrane fuel cell based on geometric a semi-Markov model. Reliability Engineering and System Safety, 2025, 255, pp.110674. ⟨10.1016/j.ress.2024.110674⟩. ⟨hal-05023351⟩ Plus de détails...
This paper proposes a maintenance model for a Proton-Exchanged Membrane Fuel Cells system. Two types of failures are considered: non repairable internal failures and possibly repairable external failures. The maintenance involves replacing one or more cells. Therefore the maintenance can be perfect or imperfect. Moreover after each repair, the maintenance operator improves and the down time due to maintenance is reduced. A semi-Markov process is proposed to model the system’s lifetime. In this framework, the reliability measures and the remaining useful lifetime are derived. The long run average maintenance cost is studied. A sensitivity analysis of model parameters and maintenance unit costs is performed and a maintenance optimization strategy is proposed.
Jingqi Zhang, Mitra Fouladirad, Nikolaos Limnios. Sensitivity analysis of an imperfect maintenance policy for Proton-exchange membrane fuel cell based on geometric a semi-Markov model. Reliability Engineering and System Safety, 2025, 255, pp.110674. ⟨10.1016/j.ress.2024.110674⟩. ⟨hal-05023351⟩
Journal: Reliability Engineering and System Safety
Mohammed Zine, Noureddine Touach, El Mostapha Lotfi, Philippe Moulin. Efficiency of an Ultrafiltration Process for the Depollution of Pretreated Olive Mill Wastewater. Membranes, 2025, 15 (3), pp.67. ⟨10.3390/membranes15030067⟩. ⟨hal-04961886⟩ Plus de détails...
The depollution of constructed wetland-pretreated olive mill wastewater (OMW) using a membrane filtration system was experimentally studied. Dead-end filtration (DEF) was employed to evaluate suitable MF/UF membranes and select the appropriate molecular weight cut-off for optimal OMW treatment. Removal efficiencies for COD (chemical oxygen demand) and TOC (total organic carbon) using DEF reached maximum values of 88.14% and 11.17%, respectively. Adsorption of raw and pretreated OMW on granular activated carbon was also carried out for a comparative study against DEF and pretreatment. The semi-industrial-scale experiments were conducted using commercial ceramic ultrafiltration (UF) membranes (150 and 50 kDa) in cross-flow filtration (CFF) mode at a permeate flux around 200 L h−1 m−2 and a trans-membrane pressure (TMP) of 3.5–3.8 bars. This post-treatment had a significant impact on COD removal efficiency from pretreated OMW, reaching 78.5%. The coupled process proposed in this study achieved removal efficiencies of 97%, 97%, and 99.9% of COD, TOC, and turbidity, respectively.
Mohammed Zine, Noureddine Touach, El Mostapha Lotfi, Philippe Moulin. Efficiency of an Ultrafiltration Process for the Depollution of Pretreated Olive Mill Wastewater. Membranes, 2025, 15 (3), pp.67. ⟨10.3390/membranes15030067⟩. ⟨hal-04961886⟩
Hippolyte Lerogeron, Pierre Boivin, Vincent Faucher, Julien Favier. A Numerical Framework for Fast Transient Compressible Flows Using Lattice Boltzmann and Immersed Boundary Methods. International Journal for Numerical Methods in Engineering, 2025, 126 (3), ⟨10.1002/nme.7647⟩. ⟨hal-04958000⟩ Plus de détails...
This article is dedicated to the development of a model to simulate fast transient compressible flows on solid structures using immersed boundary method (IBM) and a lattice Boltzmann solver. Ultimately, the proposed model aims at providing an efficient algorithm to simulate strongly‐coupled fluid‐structure interactions (FSI). Within this goal, it is necessary to propose a precise and robust numerical framework and validate it on stationary solid cases first, which is the scope of the present study. Classical FSI methods, such as body‐fitted approaches, are facing challenges with moving or complex geometries in realistic conditions, requiring computationally expensive re‐meshing operations. IBM offers an alternative by treating the solid structure geometry independently from the fluid mesh. This study focuses on the extension of the IBM to compressible flows, and a particular attention is given to the enforcement of various thermal boundary conditions. A hybrid approach, combining diffuse forcing for Dirichlet‐type boundary conditions and ghost‐nodes forcing for Neumann‐type boundary conditions is introduced. Finally, a simplified model, relying only on diffuse IBM forcing, is investigated to treat specific cases where the fluid solid interface is considered as adiabatic. The accuracy of the method is validated through various test cases of increasing complexity.
Hippolyte Lerogeron, Pierre Boivin, Vincent Faucher, Julien Favier. A Numerical Framework for Fast Transient Compressible Flows Using Lattice Boltzmann and Immersed Boundary Methods. International Journal for Numerical Methods in Engineering, 2025, 126 (3), ⟨10.1002/nme.7647⟩. ⟨hal-04958000⟩
Journal: International Journal for Numerical Methods in Engineering
B. Clavier, D. Zarzoso, D. Del-Castillo-Negrete, E. Frénod. Generative-machine-learning surrogate model of plasma turbulence. Physical Review E , 2025, 111 (1), pp.L013202. ⟨10.1103/PhysRevE.111.L013202⟩. ⟨hal-04966199⟩ Plus de détails...
Generative artificial intelligence methods are employed for the first time to construct a surrogate model for plasma turbulence that enables long-time transport simulations. The proposed GAIT (Generative Artificial Intelligence Turbulence) model is based on the coupling of a convolutional variational autoencoder that encodes precomputed turbulence data into a reduced latent space, and a recurrent neural network and decoder that generate new turbulence states 400 times faster than the direct numerical integration. The model is applied to the Hasegawa-Wakatani (HW) plasma turbulence model, which is closely related to the quasigeostrophic model used in geophysical fluid dynamics. Very good agreement is found between the GAIT and the HW models in the spatiotemporal Fourier and Proper Orthogonal Decomposition spectra, and the flow topology characterized by the Okubo-Weiss decomposition. The GAIT model also reproduces Lagrangian transport including the probability distribution function of particle displacements and the effective turbulent diffusivity.
B. Clavier, D. Zarzoso, D. Del-Castillo-Negrete, E. Frénod. Generative-machine-learning surrogate model of plasma turbulence. Physical Review E , 2025, 111 (1), pp.L013202. ⟨10.1103/PhysRevE.111.L013202⟩. ⟨hal-04966199⟩
Antoine Monot, Christophe Friess, Jeroen Wackers. Grey Area Mitigation for Detached-Eddy Simulations Using Volume Forcing. International Journal of Computational Fluid Dynamics, 2025, Adaptation for Scale-Resolved Turbulence, 38 (2-3), pp.246-264. ⟨10.1080/10618562.2024.2376851⟩. ⟨hal-04923705⟩ Plus de détails...
Hybrid RANS/LES (HRL) models use LES in complex regions and RANS otherwise. However, HRL models have issues when dealing with the transition between RANS and LES areas. The goal of this paper is to propose a solution to the lack of a mechanism in the DES model for transferring the modelled turbulent kinetic energy (TKE) to the resolved scales. The presented approach uses a volume forcing which amplifies existing velocity fluctuations. It aims at compensating for the modelled TKE dissipated by reinjecting it as resolved kinetic energy, so that the total TKE is unaffected. This solution's effectiveness is evaluated on a turbulent boundary layer over a flat plate, a case where DES is highly sensitive to mesh refinement. Different meshes and time steps are tested to assess the impact of the method on the flow. This approach shows a clear improvement on the turbulent quantities compared to the DES model.
Antoine Monot, Christophe Friess, Jeroen Wackers. Grey Area Mitigation for Detached-Eddy Simulations Using Volume Forcing. International Journal of Computational Fluid Dynamics, 2025, Adaptation for Scale-Resolved Turbulence, 38 (2-3), pp.246-264. ⟨10.1080/10618562.2024.2376851⟩. ⟨hal-04923705⟩
Journal: International Journal of Computational Fluid Dynamics
Gabriel Meletti, Stéphane Abide, Uwe Harlander, Isabelle Raspo, Stéphane Viazzo. On the influence of the heat transfer at the free surface of a thermally driven rotating annulus. Physics of Fluids, 2025, 37 (3), pp.034101. ⟨10.1063/5.0248712⟩. ⟨hal-05007412⟩ Plus de détails...
Experiments on rotating annuli that are differentially heated in the radial direction have largely contributed to a better understanding of baroclinic instabilities. This configuration creates waves at a laboratory scale that are related to atmospheric circulations. Pioneer studies in baroclinic tanks have shown that experiments with low aspect ratios are more suitable to reproduce small-scale inertia gravity waves, but these tanks have a larger free surface, which leads to higher interactions with their surrounding environment. Considering the heat transferred through the free surface, the present work investigates its impacts on the baroclinic instability using direct numerical simulations (DNS).
Gabriel Meletti, Stéphane Abide, Uwe Harlander, Isabelle Raspo, Stéphane Viazzo. On the influence of the heat transfer at the free surface of a thermally driven rotating annulus. Physics of Fluids, 2025, 37 (3), pp.034101. ⟨10.1063/5.0248712⟩. ⟨hal-05007412⟩
Antonello Tangredi, Cristian Barca, Jean-Henry Ferrasse, Olivier Boutin. Combining process severity and response surface methodology: a comprehensive approach to phosphorus speciation in sewage sludge hydrothermal treatment. Journal of Environmental Management, 2025, 381, pp.125239. ⟨10.1016/j.jenvman.2025.125239⟩. ⟨hal-05039217⟩ Plus de détails...
Phosphorus is essential for global food production, but intensive agriculture disrupts its natural cycle, increasing reliance on non-renewable sources. A sustainable alternative is recovering phosphorus from waste streams using thermochemical processes. This work investigates the hydrothermal treatment of sewage sludge digestate to explore phosphorus conversion and speciation, aiming to optimize solid by-product as fertilizer. Through a novel integration of response surface methodology and process severity modeling, the study examines the influence of process parameters (temperature, time) on phosphorus behavior. A sewage sludge digestate, sampled from a wastewater treatment plant, was treated in a batch reactor at temperatures from 250 to 350 °C for 5-45 min. Products were centrifuged into a solid pellet and process water, followed by characterization of their physicochemical properties. Results show that temperature and time significantly impact by-product characteristics and phosphorus speciation. Treatments at 250-300 • C promote organic phosphorus mineralization and increase soluble phosphate concentration, while treatments at 350 • C lead to greater phosphorus recovery in the solid pellet, mostly as calcium phosphates. This research provides a framework for sustainable phosphorus recovery, suggesting hydrothermally treated pellets as potential slow-release fertilizers. Future work should comprehensively investigate the effect of calcium addition on phosphorus precipitation as calcium phosphates.
Antonello Tangredi, Cristian Barca, Jean-Henry Ferrasse, Olivier Boutin. Combining process severity and response surface methodology: a comprehensive approach to phosphorus speciation in sewage sludge hydrothermal treatment. Journal of Environmental Management, 2025, 381, pp.125239. ⟨10.1016/j.jenvman.2025.125239⟩. ⟨hal-05039217⟩
