Dissipative heat transfer in blood-based ternary hybrid nanofluids through a parallel channel with entropy optimization: The case of biomedical applications

This research aims to enhance heat transfer and optimize entropy in blood-based ternary hybrid nanofluids (THNs) flowing through a parallel channel. These THNs consist of silver (Ag), silicon dioxide ( Si O 2 ), and magnetite ( Fe 3 O 4 ) nanoparticles suspended in blood, forming a mixture of Si O 2 + Fe 3 O 4 + Ag /blood base-fluid. To enhance the originality of the study, it explores different factors that influence heat dissipation, such as viscous heating, Joule heating, and thermal radiation. Understanding these factors is crucial for numerous biomedical applications, specifically improving drug delivery systems. The micropolar fluid model is adopted to account for the micro-rotational influences. The proposed system of dimensional equations is converted into a non-dimensional form using similarity rules. Subsequently, the Spectral collocation method with assistance from Mathematica 11.3 software is applied to solve the transformed system. The findings show that both the Eckert number and the magnetic field parameter play an important role in enhancing the heat transfer rate in ternary hybrid nanofluids. These findings provide valuable insights into improving heat transfer processes in biomedical applications, particularly in situations where it's important to deliver drugs effectively and maintain their thermal stability.

Authors

Institutions

Publication Details

Journal
Alexandria Engineering Journal
Published
2024-12-18
DOI
https://doi.org/10.1016/j.aej.2024.12.026
Citations
12
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dissipative heat transfer in blood-based ternary hybrid nanofluids through a parallel channel with entropy optimization: The case of biomedical applications

Ali Elrashidi, Adebowale Martins Obalalu, Mohammed Zakarya, Umair Khan et al.
12 citations
Alexandria Engineering Journal
Nanofluid Flow and Heat Transfer
2.21
article

Dissipative heat transfer in blood-based ternary hybrid nanofluids through a parallel channel with entropy optimization: The case of biomedical applications

Ali Elrashidi, Adebowale Martins Obalalu, Mohammed Zakarya, Umair Khan, Yongjun Wang, Liping Yu, Muhammad Waqas
article en
12 citations

Abstract

This research aims to enhance heat transfer and optimize entropy in blood-based ternary hybrid nanofluids (THNs) flowing through a parallel channel. These THNs consist of silver (Ag), silicon dioxide ( Si O 2 ), and magnetite ( Fe 3 O 4 ) nanoparticles suspended in blood, forming a mixture of Si O 2 + Fe 3 O 4 + Ag /blood base-fluid. To enhance the originality of the study, it explores different factors that influence heat dissipation, such as viscous heating, Joule heating, and thermal radiation. Understanding these factors is crucial for numerous biomedical applications, specifically improving drug delivery systems. The micropolar fluid model is adopted to account for the micro-rotational influences. The proposed system of dimensional equations is converted into a non-dimensional form using similarity rules. Subsequently, the Spectral collocation method with assistance from Mathematica 11.3 software is applied to solve the transformed system. The findings show that both the Eckert number and the magnetic field parameter play an important role in enhancing the heat transfer rate in ternary hybrid nanofluids. These findings provide valuable insights into improving heat transfer processes in biomedical applications, particularly in situations where it's important to deliver drugs effectively and maintain their thermal stability.

Alexandria Engineering JournalVol. 115
Sakarya University (TR), Western Caspian University (AZ), City University of Science and Information Technology (PK), Shenyang Institute of Computing Technology (China) (CN), University of Business and Technology (SA), King Khalid University (SA), Shandong Institute of Business and Technology (CN), Alexandria University (EG), Saveetha University (IN), Kwara State University (NG)
King Khalid University
Affordable and clean energy
Openalex Percentile: Top 12%
Nanofluid Flow and Heat Transfer
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.