LAPSE:2023.28273
Published Article
LAPSE:2023.28273
Recent Development and Future Prospective of Tiwari and Das Mathematical Model in Nanofluid Flow for Different Geometries: A Review
April 11, 2023
Abstract
The rapid changes in nanotechnology over the last ten years have given scientists and engineers a lot of new things to study. The nanofluid constitutes one of the most significant advantages that has come out of all these improvements. Nanofluids, colloid suspensions of metallic and nonmetallic nanoparticles in common base fluids, are known for their astonishing ability to transfer heat. Previous research has focused on developing mathematical models and using varied geometries in nanofluids to boost heat transfer rates. However, an accurate mathematical model is another important factor that must be considered because it dramatically affects how heat flows. As a result, before using nanofluids for real-world heat transfer applications, a mathematical model should be used. This article provides a brief overview of the Tiwari and Das nanofluid models. Moreover, the effects of different geometries, nanoparticles, and their physical properties, such as viscosity, thermal conductivity, and heat capacity, as well as the role of cavities in entropy generation, are studied. The review also discusses the correlations used to predict nanofluids’ thermophysical properties. The main goal of this review was to look at the different shapes used in convective heat transfer in more detail. It is observed that aluminium and copper nanoparticles provide better heat transfer rates in the cavity using the Tiwari and the Das nanofluid model. When compared to the base fluid, the Al2O3/water nanofluid’s performance is improved by 6.09%. The inclination angle of the cavity as well as the periodic thermal boundary conditions can be used to effectively manage the parameters for heat and fluid flow inside the cavity.
The rapid changes in nanotechnology over the last ten years have given scientists and engineers a lot of new things to study. The nanofluid constitutes one of the most significant advantages that has come out of all these improvements. Nanofluids, colloid suspensions of metallic and nonmetallic nanoparticles in common base fluids, are known for their astonishing ability to transfer heat. Previous research has focused on developing mathematical models and using varied geometries in nanofluids to boost heat transfer rates. However, an accurate mathematical model is another important factor that must be considered because it dramatically affects how heat flows. As a result, before using nanofluids for real-world heat transfer applications, a mathematical model should be used. This article provides a brief overview of the Tiwari and Das nanofluid models. Moreover, the effects of different geometries, nanoparticles, and their physical properties, such as viscosity, thermal conductivity, and heat capacity, as well as the role of cavities in entropy generation, are studied. The review also discusses the correlations used to predict nanofluids’ thermophysical properties. The main goal of this review was to look at the different shapes used in convective heat transfer in more detail. It is observed that aluminium and copper nanoparticles provide better heat transfer rates in the cavity using the Tiwari and the Das nanofluid model. When compared to the base fluid, the Al2O3/water nanofluid’s performance is improved by 6.09%. The inclination angle of the cavity as well as the periodic thermal boundary conditions can be used to effectively manage the parameters for heat and fluid flow inside the cavity.
Record ID
Keywords
convective heat transfer, entropy generation, hybrid nanofluids, mathematical modeling geometries, nanofluids
Subject
Suggested Citation
Zafar M, Sakidin H, Sheremet M, Dzulkarnain IB, Hussain A, Nazar R, Khan JA, Irfan M, Said Z, Afzal F, Al-Yaari A. Recent Development and Future Prospective of Tiwari and Das Mathematical Model in Nanofluid Flow for Different Geometries: A Review. (2023). LAPSE:2023.28273
Author Affiliations
Zafar M: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia; Centre for Research in Enhanced Oil Recovery, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia [ORCID]
Sakidin H: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia [ORCID]
Sheremet M: Laboratory on Convective Heat and Mass Transfer, Tomsk State University, 634050 Tomsk, Russia
Dzulkarnain IB: Centre for Research in Enhanced Oil Recovery, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia; Department of Petroleum Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia [ORCID]
Hussain A: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia
Nazar R: Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, (UKM) Bangi 43600, Selangor, Malaysia
Khan JA: Institute of Hydrocarbon Recovery, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia
Irfan M: Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia [ORCID]
Said Z: Sustainable and Renewable Energy Engineering College of Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; U.S.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12, I [ORCID]
Afzal F: Department of Humanities and Basic Sciences, MCS, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan [ORCID]
Al-Yaari A: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia [ORCID]
Sakidin H: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia [ORCID]
Sheremet M: Laboratory on Convective Heat and Mass Transfer, Tomsk State University, 634050 Tomsk, Russia
Dzulkarnain IB: Centre for Research in Enhanced Oil Recovery, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia; Department of Petroleum Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia [ORCID]
Hussain A: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia
Nazar R: Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, (UKM) Bangi 43600, Selangor, Malaysia
Khan JA: Institute of Hydrocarbon Recovery, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia
Irfan M: Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia [ORCID]
Said Z: Sustainable and Renewable Energy Engineering College of Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; U.S.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12, I [ORCID]
Afzal F: Department of Humanities and Basic Sciences, MCS, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan [ORCID]
Al-Yaari A: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia [ORCID]
Journal Name
Processes
Volume
11
Issue
3
First Page
834
Year
2023
Publication Date
2023-03-10
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11030834, Publication Type: Review
Record Map
Published Article
LAPSE:2023.28273
This Record
External Link
https://doi.org/10.3390/pr11030834
Publisher Version
Download
Meta
Record Statistics
Record Views
185
Version History
[v1] (Original Submission)
Apr 11, 2023
Verified by curator on
Apr 11, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.28273
Record Owner
Auto Uploader for LAPSE
Links to Related Works