Applications of radiated tri-hybrid nanoparticles (TiO2-CuO-SiO2) on the thermal performance of engine oil (SA E10W-30): A case study on HNF and MNF

Owing to superior thermal performances, the suspension of tri hybrid nanoparticles presents valuable applications across advanced heat transfer systems, heat exchangers, energy-efficient systems, aerospace engineering, automobile industries and biomedical applications. Current investigation seeks thermal insight to nonlinear radiated flow of tri hybrid nanofluid by using the non-Fourier heat flux model. A uniform suspension of three distinct category of nanoparticles including titanium oxide ( T i O 2 ) , silicon dioxide ( S i O 2 ) and copper oxide ( C u O ) are utilized. The engine oil ( S A E 10 W − 30 ) is treated as a base material. The thermal performances of engine oil are important in automobile industry to enhance thermal fuel efficiency, protecting against corrosion and balancing the optimal operating temperature. The heat generation and convective thermal constraints are followed to study current model. The flow is subject to elastic stretching sheet. The governing equations are developed under certain thermal constraints. For solution methodology, the shooting scheme is implemented. The computational thermal simulations are for mono nanofluid (MNF), hybrid nanofluid (HNF) and tri hybrid nanomaterial (THNF). The results for skin friction and Nusselt number are also graphically compiled.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-04-14
DOI
https://doi.org/10.1016/j.csite.2025.106144
Citations
9
Primary Topic
Polymer Nanocomposites and Properties
Type
article
Field-Weighted Citation Impact
5.46

Funders

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

Applications of radiated tri-hybrid nanoparticles (TiO2-CuO-SiO2) on the thermal performance of engine oil (SA E10W-30): A case study on HNF and MNF

Muapper Alhadri, Walid Aich, Sami Ullah Khan, Muhammad Ishaq et al.
9 citations
Case Studies in Thermal Engineering
Polymer Nanocomposites and Properties
5.46
article

Applications of radiated tri-hybrid nanoparticles (TiO2-CuO-SiO2) on the thermal performance of engine oil (SA E10W-30): A case study on HNF and MNF

Muapper Alhadri, Walid Aich, Sami Ullah Khan, Muhammad Ishaq, Lioua Kolsi, Kaouther Ghachem, Badreddine Ayadi, Mebarek-Oudina Fateh
article en
9 citations

Abstract

Owing to superior thermal performances, the suspension of tri hybrid nanoparticles presents valuable applications across advanced heat transfer systems, heat exchangers, energy-efficient systems, aerospace engineering, automobile industries and biomedical applications. Current investigation seeks thermal insight to nonlinear radiated flow of tri hybrid nanofluid by using the non-Fourier heat flux model. A uniform suspension of three distinct category of nanoparticles including titanium oxide ( T i O 2 ) , silicon dioxide ( S i O 2 ) and copper oxide ( C u O ) are utilized. The engine oil ( S A E 10 W − 30 ) is treated as a base material. The thermal performances of engine oil are important in automobile industry to enhance thermal fuel efficiency, protecting against corrosion and balancing the optimal operating temperature. The heat generation and convective thermal constraints are followed to study current model. The flow is subject to elastic stretching sheet. The governing equations are developed under certain thermal constraints. For solution methodology, the shooting scheme is implemented. The computational thermal simulations are for mono nanofluid (MNF), hybrid nanofluid (HNF) and tri hybrid nanomaterial (THNF). The results for skin friction and Nusselt number are also graphically compiled.

Case Studies in Thermal EngineeringVol. 70
Princess Nourah bint Abdulrahman University (SA), Government College University, Faisalabad (PK), Namal University (PK), University of Ha'il (SA), University of Skikda (DZ)
University of Hail
Affordable and clean energy
Openalex Percentile: Top 4%
Polymer Nanocomposites and Properties
5.46
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.