Fibers cluster characterization in failure process of composite materials

Tanasehte, M.; Hader, A.; Hariti, Yassine; Amallah, Layla; Hakam, A.; Elkhal, M.; Lahbibi, A.

doi:10.1016/j.matpr.2022.04.646

Cited by 3 publications

(1 citation statement)

References 42 publications

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“…In general, the development of thermophysical properties in nanofluids depends on various factors, including the size and nature of the particles, their concentration, the base fluid, and the preparation method (Tanasehte et al ., 2020a; Hader et al ., 2020; Ait lahcen et al ., 2023; Tanasehte et al ., 2022; Hader et al ., 2021; Tanasehte et al ., 2020b). Hence, the variation of these thermophysical properties in hybrid nanofluids according to media characteristics, such as flow speed and medium permeability, is rarely studied.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of the volume fraction and thermophysical properties of nanofluids in a porous medium

EL Hana,

Hader,

Ait Lahcen

et al. 2024

MMMS

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PurposeThe purpose of the paper is to conduct a numerical and experimental investigation into the properties of nanofluids containing spherical nanoparticles of random sizes flowing through a porous medium. The study aims to understand how the thermophysical properties of the nanofluid are affected by factors such as nanoparticle volume fraction, permeability of the porous medium, and pore size. The paper provides insights into the behavior of nanofluids in complex environments and explores the impact of varying conditions on key properties such as thermal conductivity, density, viscosity, and specific heat. Ultimately, the research contributes to the broader understanding of nanofluid dynamics and has potential implications for engineering and industrial applications in porous media.Design/methodology/approachThis paper investigates nanofluids with spherical nanoparticles in a porous medium, exploring thermal conductivity, density, specific heat, and dynamic viscosity. Studying three compositions, the analysis employs the classical Maxwell model and Koo and Kleinstreuer’s approach for thermal conductivity, considering particle shape and temperature effects. Density and specific heat are defined based on mass and volume ratios. Dynamic viscosity models, including Brinkman’s and Gherasim et al.'s, are discussed. Numerical simulations, implemented in Python using the Langevin model, yield results processed in Origin Pro. This research enhances understanding of nanofluid behavior, contributing valuable insights to porous media applications.FindingsThis study involves a numerical examination of nanofluid properties, featuring spherical nanoparticles of varying sizes suspended in a base fluid with known density, flowing through a porous medium. Experimental findings reveal a notable increase in thermal conductivity, density, and viscosity as the volume fraction of particles rises. Conversely, specific heat experiences a decrease with higher particle volume concentration.xD; xA; The influence of permeability and pore size on particle volume fraction variation is a key focus. Interestingly, while the permeability of the medium has a significant effect, it is observed that it increases with permeability. This underscores the role of the medium’s nature in altering the thermophysical properties of nanofluids.Originality/valueThis paper presents a novel numerical study on nanofluids with randomly sized spherical nanoparticles flowing in a porous medium. It explores the impact of porous medium properties on nanofluid thermophysical characteristics, emphasizing the significance of permeability and pore size. The inclusion of random nanoparticle sizes adds practical relevance. Contrasting trends are observed, where thermal conductivity, density, and viscosity increase with particle volume fraction, while specific heat decreases. These findings offer valuable insights for engineering applications, providing a deeper understanding of nanofluid behavior in porous environments and guiding the design of efficient systems in various industrial contexts.

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Section: Introductionmentioning

confidence: 99%

Numerical study of the volume fraction and thermophysical properties of nanofluids in a porous medium

EL Hana,

Hader,

Ait Lahcen

et al. 2024

MMMS

View full text Add to dashboard Cite

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Fatigue and Failure Mechanism Induced by Mechanical Strain and Electrochemical Cycling of Li+ Intercalation and Deintercalation in CF Structural Batteries

Karim,

Mallah,

Tanasehte

et al. 2024

J. Electron. Mater.

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The permeability effect on the diffusion and correlation process of fluid flow in porous media

Hana

Hader

Tanasehte

et al. 2023

Int. J. Mod. Phys. B

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This study numerically examines the fluid flow in porous media used in desalination. This topic is of significant current interest in the fields of science, engineering and technology, particularly in the process of water filtration. Moreover, in this work, we are attracted to correlation and diffusion process of the porous medium below the effect of permeability, dynamic pressure and friction coefficient. These parameters characterized the fluid flow in porous medium. To study numerically this phenomenon, many models have been proposed. However, we developed our investigation by using the Langevin dynamics model. Furthermore, this dynamic framework is based on Newton’s second law and Darcy’s law. Hence, we modeled the medium as a set of random diameters pores, which are dispersed randomly. The obtained results indicate that the average velocity time evolution presents an exponential profile with two different states: the first is transient and the second is permanent. The two regimes are separated by a cross-over time. Furthermore, time evolution exhibits an increasing profile versus the permeability, then it presents a decreasing profile versus the friction coefficient. Likewise, the diffusion process and correlation are tested for different parameters, especially the permeability and the dynamic pressure. We remark that the effective diffusion coefficient decreases exponentially with permeability and increases linearly with dynamic pressure. Hence, the fluid flow correlation in porous media presents a Gaussian function profile, with standard deviation function which increases exponentially with permeability.

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Fibers cluster characterization in failure process of composite materials

Cited by 3 publications

References 42 publications

Numerical study of the volume fraction and thermophysical properties of nanofluids in a porous medium

Numerical study of the volume fraction and thermophysical properties of nanofluids in a porous medium

Fatigue and Failure Mechanism Induced by Mechanical Strain and Electrochemical Cycling of Li+ Intercalation and Deintercalation in CF Structural Batteries

The permeability effect on the diffusion and correlation process of fluid flow in porous media

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