Impact of Multiple Linear Regression Strategies on Unsteady Thin Film Flow of Al2O3 Nanofluid Over a Stretching Sheet DOI

P. Priyadharshini,

P. Divya,

M. Archana

et al.

Journal of Nanofluids, Journal Year: 2024, Volume and Issue: 13(5), P. 1080 - 1095

Published: Oct. 1, 2024

This study is motivated by the need for advanced thermal management in industries such as electronics, energy and biomedical engineering, where efficient heat transfer essential performance reliability. By analyzing thermophysical properties of a base fluid with differently shaped Al 2 O 3 nanoparticles unsteady thin-film flow over stretching layer, paper explores enhancement. Internal generation convective boundary effects are incorporated, transforming complex nonlinear partial differential equations (PDEs) into ordinary (ODEs) using similarity transformations, MATLAB BVP4C solver providing insights. Key parameters like Biot number, Eckert number slip parameter manipulated, showing that higher Prandtl numbers reduce diffusivity. The state nanofluid, influenced conductivity significantly affected presence impacts results applications requiring precise accurate outcomes. degradation ( M = K φ 0 ) tabulated to evaluate efficacy current approach. A multiple linear regression model delivers strong predictive errors 10 −5 , reinforcing previous findings highlighting its utility predicting physical quantities nanotechnology which plays vital role electronics cooling, exchangers, solar panels devices.

Language: Английский

Hybrid nanofluids preparation, thermo-physical properties, and applications: A Review DOI Creative Commons
Bikram Singh, Shilpa Sood

Hybrid Advances, Journal Year: 2024, Volume and Issue: 6, P. 100192 - 100192

Published: April 22, 2024

Nanofluids (NFs) incorporation has emerged as a pivotal advancement in the realm of technology. With technology, new segments NFs are introduced recently. Compared to conventional fluids, both and Hybrid nanofluids (HNFs) offer significantly enhanced heat transfer due presence nanoparticles (NPs). provide an initial boost, but HNFs take it step further by combining different NPs for even greater thermal performance efficiency. combination two or more dispersed convectional fluid. This compilation purpose is serve succinct overview covering history, preparation techniques, thermo-physical properties, future directions, current status applications. Mainly two-step one-step methods discussed preparation. Thermophysical properties like conductivity, specific heat, density viscosity distinct parameter variation (temperature, concentration etc.) reviewed. applications various fields solar heating systems, cooling exchangers industrial processes, medical treatments, oil recovery have been discussed. The aspects focus on refining compositions, scalable production methods, eco-friendly formulations optimizing predictive models diverse

Language: Английский

Citations

21
Computational Analysis of Thermo-Solutal Marangoni Convective Unsteady Stagnation Point Flow of Tetra Hybrid Nanofluid Past Rotating Sphere with Activation Energy DOI Creative Commons
Munawar Abbas, Hawzhen Fateh M. Ameen, Jihad Younis

et al.

International Journal of Thermofluids, Journal Year: 2024, Volume and Issue: unknown, P. 101025 - 101025

Published: Dec. 1, 2024

Language: Английский

Citations

12
Artificial neural networks computing system for Ree-Eyring hybrid nanofluid flow over a solar panel sheet: Hamilton–Crosser model DOI

P. Priyadharshini,

M. Archana

International Journal of Ambient Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Language: Английский

Citations

0
Thermal and flow characteristics of tetra-hybrid nanofluid over a stretching/shrinking inclined cylinder: Influence of heat absorption and quadratic radiation DOI
Khadija Rafique, Zafar Mahmood,

Hamiden Abd El-Wahed Khalifa

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101513 - 101513

Published: April 16, 2025

Language: Английский

Citations

0
Enhancing thermo-hydraulic performance in flow boiling with hybrid nanofluids in double-layered wavy microchannel heat sink DOI

Santanu Borah,

Dipankar Bhanja

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126488 - 126488

Published: April 1, 2025

Language: Английский

Citations

0
Advances in nanofluid flow, heat, and mass transfer at moving/stretching surfaces DOI
K. Vajravelu, John Abraham, Swati Mukhopadhyay

et al.

Advances in heat transfer, Journal Year: 2024, Volume and Issue: unknown, P. 81 - 154

Published: Jan. 1, 2024

Language: Английский

Citations

0
Impact of Multiple Linear Regression Strategies on Unsteady Thin Film Flow of Al2O3 Nanofluid Over a Stretching Sheet DOI

P. Priyadharshini,

P. Divya,

M. Archana

et al.

Journal of Nanofluids, Journal Year: 2024, Volume and Issue: 13(5), P. 1080 - 1095

Published: Oct. 1, 2024

This study is motivated by the need for advanced thermal management in industries such as electronics, energy and biomedical engineering, where efficient heat transfer essential performance reliability. By analyzing thermophysical properties of a base fluid with differently shaped Al 2 O 3 nanoparticles unsteady thin-film flow over stretching layer, paper explores enhancement. Internal generation convective boundary effects are incorporated, transforming complex nonlinear partial differential equations (PDEs) into ordinary (ODEs) using similarity transformations, MATLAB BVP4C solver providing insights. Key parameters like Biot number, Eckert number slip parameter manipulated, showing that higher Prandtl numbers reduce diffusivity. The state nanofluid, influenced conductivity significantly affected presence impacts results applications requiring precise accurate outcomes. degradation ( M = K φ 0 ) tabulated to evaluate efficacy current approach. A multiple linear regression model delivers strong predictive errors 10 −5 , reinforcing previous findings highlighting its utility predicting physical quantities nanotechnology which plays vital role electronics cooling, exchangers, solar panels devices.

Language: Английский

Citations

0