{"title":"Darcy–Brinkman–Forchheimer model for natural convection analysis of porous cavity with entropy generation and triangle vanes","authors":"Musa Bahmani , Morteza Babagoli , Payam Jalili , Bahram Jalili , Davood Domiri Ganji","doi":"10.1016/j.ijft.2025.101411","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the temperature distribution in solid and fluid phases, stream function, natural convection, and thermal entropy generation. In the current work, the temperature diffusion in the solid and fluid phases, stream function, and entropy generation are all analyzed using the finite element method (FEM). Considerably, several circular heated obstacles exert an effect on thermal performance, including stream function Ψ, and temperature distribution in solid phase θ<sub><em>s</em></sub> and fluid phase θ<sub><em>f</em></sub>, entropy generation. Moreover, to achieve optimal system performance and energy utilization, emphasis should be placed on the detailed examination of influential parameters such as Rayleigh number, Darcy number, Prandtl number, and ε on fluid flow, Nu<sub>f, ave</sub>, Nu<sub>s, ave</sub>, S<sub>htf, ave</sub>, S<sub>hts, ave</sub>, and Ty<sub>ave</sub>. The computation in the results was validated by accurately adapting it to the stream function, temperature diffusion in the solid phase and fluid phase, and various γ for <em>Nu</em><sub><em>f</em>, <em>ave</em></sub> and <em>Nu</em><sub><em>s</em>, <em>ave</em></sub>. Based on numerical results, it was found that there was a noticeable increase in <em>S</em><sub><em>htf</em>, <em>ave</em></sub>, <em>S</em><sub><em>hts</em>, <em>ave</em></sub>, <em>Nu</em><sub><em>f</em>, <em>ave</em></sub> and <em>Nu</em><sub><em>s</em>, <em>ave</em></sub> as the Darcy and Rayleigh numbers increased. Conversely, <em>S</em><sub><em>htf</em>, <em>ave</em></sub>, <em>S</em><sub><em>hts</em>, <em>ave</em></sub>, <em>Nu</em><sub><em>f</em>, <em>ave</em></sub> and <em>Nu</em><sub><em>s</em>, <em>ave</em></sub> dropped with an increase in ε.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"30 ","pages":"Article 101411"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Thermofluids","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266620272500357X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Chemical Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates the temperature distribution in solid and fluid phases, stream function, natural convection, and thermal entropy generation. In the current work, the temperature diffusion in the solid and fluid phases, stream function, and entropy generation are all analyzed using the finite element method (FEM). Considerably, several circular heated obstacles exert an effect on thermal performance, including stream function Ψ, and temperature distribution in solid phase θs and fluid phase θf, entropy generation. Moreover, to achieve optimal system performance and energy utilization, emphasis should be placed on the detailed examination of influential parameters such as Rayleigh number, Darcy number, Prandtl number, and ε on fluid flow, Nuf, ave, Nus, ave, Shtf, ave, Shts, ave, and Tyave. The computation in the results was validated by accurately adapting it to the stream function, temperature diffusion in the solid phase and fluid phase, and various γ for Nuf, ave and Nus, ave. Based on numerical results, it was found that there was a noticeable increase in Shtf, ave, Shts, ave, Nuf, ave and Nus, ave as the Darcy and Rayleigh numbers increased. Conversely, Shtf, ave, Shts, ave, Nuf, ave and Nus, ave dropped with an increase in ε.