{"title":"A modeling method for the radiative characteristic parameters of a composite medium containing base fluid and randomly dispersed nanoparticles","authors":"Li Jiayu, Rong Teng","doi":"10.1016/j.ijthermalsci.2025.109862","DOIUrl":null,"url":null,"abstract":"<div><div>Radiative heat transfer in a composite medium containing randomly dispersed nanoparticles exists widely in nature and industrial applications. The prediction of radiative characteristic parameters is a crucial issue for the simulation of radiative heat transfer in particulate composite media. The morphology and distribution of nanoparticles can affect the interaction between electromagnetic radiation and the nanoparticles, thereby influencing the radiative characteristic parameters of the composite medium. To solve this problem, an electromagnetic model is constructed for a composite medium containing base fluid and randomly distributed nanoparticles. The computational domain is divided into several nanoscale cubic grid cells. Then, the effective radiative characteristic parameters of a grid cell are simulated using finite-element method (FEM), incorporating the dependent scattering effects from nanoparticles in adjacent grid cells. FEM scattering models are established based on varying degrees of interparticle interaction, and the influence of these interaction degrees on the effective radiative characteristic parameters is analyzed. The multigrid Monte Carlo (MC) program is used to simulate the radiative transfer with the inputs of effective radiative characteristic parameters. Finally, the absorptivity of the composite medium containing base fluid and randomly dispersed nanoparticles is obtained. The simulation results presented in this study indicate that the influence of dependent scattering on the radiative characteristic parameters of a particulate composite medium increases with an increasing nanoparticle volume fraction (<span><math><mrow><msub><mi>f</mi><mi>v</mi></msub></mrow></math></span>). The absorptivity of the composite medium does not definitely increase with increasing <span><math><mrow><msub><mi>f</mi><mi>v</mi></msub></mrow></math></span>. The established method can be used to analyze the influences of morphology and the distribution of the nanoparticles in a particulate composite medium. Both the dependent scattering of nanoparticles and the interactions between nanoparticles and the base fluid are taken into account.</div></div>","PeriodicalId":341,"journal":{"name":"International Journal of Thermal Sciences","volume":"214 ","pages":"Article 109862"},"PeriodicalIF":4.9000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Thermal Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1290072925001851","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Radiative heat transfer in a composite medium containing randomly dispersed nanoparticles exists widely in nature and industrial applications. The prediction of radiative characteristic parameters is a crucial issue for the simulation of radiative heat transfer in particulate composite media. The morphology and distribution of nanoparticles can affect the interaction between electromagnetic radiation and the nanoparticles, thereby influencing the radiative characteristic parameters of the composite medium. To solve this problem, an electromagnetic model is constructed for a composite medium containing base fluid and randomly distributed nanoparticles. The computational domain is divided into several nanoscale cubic grid cells. Then, the effective radiative characteristic parameters of a grid cell are simulated using finite-element method (FEM), incorporating the dependent scattering effects from nanoparticles in adjacent grid cells. FEM scattering models are established based on varying degrees of interparticle interaction, and the influence of these interaction degrees on the effective radiative characteristic parameters is analyzed. The multigrid Monte Carlo (MC) program is used to simulate the radiative transfer with the inputs of effective radiative characteristic parameters. Finally, the absorptivity of the composite medium containing base fluid and randomly dispersed nanoparticles is obtained. The simulation results presented in this study indicate that the influence of dependent scattering on the radiative characteristic parameters of a particulate composite medium increases with an increasing nanoparticle volume fraction (). The absorptivity of the composite medium does not definitely increase with increasing . The established method can be used to analyze the influences of morphology and the distribution of the nanoparticles in a particulate composite medium. Both the dependent scattering of nanoparticles and the interactions between nanoparticles and the base fluid are taken into account.
期刊介绍:
The International Journal of Thermal Sciences is a journal devoted to the publication of fundamental studies on the physics of transfer processes in general, with an emphasis on thermal aspects and also applied research on various processes, energy systems and the environment. Articles are published in English and French, and are subject to peer review.
The fundamental subjects considered within the scope of the journal are:
* Heat and relevant mass transfer at all scales (nano, micro and macro) and in all types of material (heterogeneous, composites, biological,...) and fluid flow
* Forced, natural or mixed convection in reactive or non-reactive media
* Single or multi–phase fluid flow with or without phase change
* Near–and far–field radiative heat transfer
* Combined modes of heat transfer in complex systems (for example, plasmas, biological, geological,...)
* Multiscale modelling
The applied research topics include:
* Heat exchangers, heat pipes, cooling processes
* Transport phenomena taking place in industrial processes (chemical, food and agricultural, metallurgical, space and aeronautical, automobile industries)
* Nano–and micro–technology for energy, space, biosystems and devices
* Heat transport analysis in advanced systems
* Impact of energy–related processes on environment, and emerging energy systems
The study of thermophysical properties of materials and fluids, thermal measurement techniques, inverse methods, and the developments of experimental methods are within the scope of the International Journal of Thermal Sciences which also covers the modelling, and numerical methods applied to thermal transfer.