Numerical investigation of porosity effect on a PCM's thermal performance in a porous rectangular channel via thermal lattice Boltzmann method

Archive ouverte : Article de revue

Mabrouk, Riheb | Naji, Hassane | Dhahri, Hacen | Hammouda, Sihem | Younsi, Zohir

Edité par HAL CCSD ; Elsevier

Consulter en ligne

Suggestions

Du même auteur

Insight into Foam Pore Effect on Phase Change Process in a Plane Channel under Forced Convection Using the Thermal Lattice Boltzmann Method | Mabrouk, Riheb

Insight into Foam Pore Effect on Phase Change Process in a Plane Channel un...

Archive ouverte: Article de revue

Mabrouk, Riheb | 2020-08

International audience. In this work, the two-dimensional laminar flow and the heat transfer in an open-ended rectangular porous channel (metal foam) including a phase change material (PCM; paraffin) under forced co...

Numerical Investigation of Metal Foam Pore Density Effect on Sensible and Latent Heats Storage through an Enthalpy-Based REV-Scale Lattice Boltzmann Method | Mabrouk, Riheb

Numerical Investigation of Metal Foam Pore Density Effect on Sensible and L...

Archive ouverte: Article de revue

Mabrouk, Riheb | 2021-07-05

International audience. In this work, an unsteady forced convection heat transfer in an open-ended channel incorporating a porous medium filled either with a phase change material (PCM; case 1) or with water (case 2...

Advanced thermal lattice Boltzmann method for the simulation of latent heat thermal energy in a porous storage unit | Mabrouk, Riheb

Advanced thermal lattice Boltzmann method for the simulation of latent heat...

Archive ouverte: Communication dans un congrès

Mabrouk, Riheb | 2021

International audience. The current research expounds numerical investigation of key parameters effects, namely porosity ( ε= 0.4, 0.6, 0.7 and 0.8), Reynolds number ( Re = 100, 200, 400 and 600) and Eckert number (...

Du même sujet

Reading History of Science as a Physics and Mathematics Framework for Newton Geneva Edition (1822) | Pisano, Raffaele

Reading History of Science as a Physics and Mathematics Framework for Newto...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-04-19

International audience

On Mechanics and Thermodynamics Analogies in History of Physics-Mathematics and Teaching Science | Pisano, Raffaele

On Mechanics and Thermodynamics Analogies in History of Physics-Mathematics...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-05-12

International audience

On the epistemic interplay between physics and mathematics such as a dynamical framework within nos–research teaching science | Pisano, Raffaele

On the epistemic interplay between physics and mathematics such as a dynami...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-06-12

International audience

A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membranes with Nanopores | Bah, Thierno-Moussa

A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membran...

Archive ouverte: Article de revue

Bah, Thierno-Moussa | 2022-12-10

International audience. Herein, we report the use of nanostructured crystalline silicon as a thermoelectric material and its integration into thermoelectric devices. The proof-of-concept relies on the partial suppre...

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans les machines synchrones à aimants permanents surfaciques | Le Besnerais, Jean

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans l...

Archive ouverte: Communication dans un congrès

Le Besnerais, Jean | 2016-06-07

International audience. Cet article étudie l'effet de l'angle de charge sur les efforts harmoniques de Maxwell (tangentiels et radiaux) et les bruits et vibrations d'origine magnétique dans deux machines synchrones ...

Further investigation of convolutional neural networks applied in computational electromagnetism under physics‐informed consideration | Gong, Ruohan

Further investigation of convolutional neural networks applied in computati...

Archive ouverte: Article de revue

Gong, Ruohan | 2022-04-07

International audience. Convolutional neural networks (CNN) have shown great potentials and have been proven to be an effective tool for some image-based deep learning tasks in the field of computational electromagn...

Chargement des enrichissements...