Results 91 to 100 of about 8,960,737 (230)

Optimized Wavy Thermal Radiative Analysis of Electrochemically Ternary Hybrid Nanomaterials Affected by an Induced Magnetic Force: An ANN‐Based Levenberg–Marquardt Backpropagation Approach

open access: yesAdvanced Physics Research, Volume 5, Issue 10, October 2026.
This diagram illustrates the wavy flow configuration of the model in a Cartesian coordinate system. It represents the heat and mass transfer characteristics of ternary hybrid nanofluids over a vertically wavy surface in the presence of an induced magnetic field and double‐diffusive mixed convection.
Latif Ahmad   +4 more
wiley   +1 more source

Natural convection in a square Cavity: Effects of Rayleigh and Prandtl numbers on heat transfer and flow patterns

open access: yesCase Studies in Thermal Engineering
Natural convection within enclosures plays a crucial role in heat transfer across various thermal systems. This study presents a validated numerical benchmark for buoyancy-driven flow in a square cavity with differential heating, focusing solely on the ...
Saleh A. Bawazeer, Mohammad S. Alsoufi
doaj   +1 more source

Aero‐breakup of droplets: Recent progress and outlook

open access: yesDroplet, Volume 5, Issue 4, October 2026.
This work systematically reviews the recent progress of droplet aero‐breakup studies. The discussion covers the research history, theoretical framework, new breakup mode discoveries, influence of droplet fluid properties, scenarios of multi‐droplet and droplet cloud, and finally, an outlook for future explorations is presented. Abstract Aero‐breakup of
Ben Guan   +4 more
wiley   +1 more source

Variations of the Local Nusselt number and local Sherwood number with and when are fixed.

open access: yes, 2014
Variations of the Local Nusselt number and local Sherwood number with and when are fixed.
Waqar Azeem Khan (623521)   +2 more
core   +1 more source

Effect of distinct physical factors on the skin frictions and Nusselt number.

open access: yes, 2021
Effect of distinct physical factors on the skin frictions and Nusselt number.
Tanveer Sajid (11564899)   +6 more
core   +1 more source

Nanofluid Heat Transfer Enhancement in Porous Media With Geometric and Particle Morphology Effects

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
Levenberg–Marquardt neural network predicts Cu–water nanofluid flow and heat transfer in a converging/diverging porous channel with Darcy–Forchheimer drag, nanoparticle shape effects (sphere, column, lamina), and viscous dissipation. ABSTRACT Efficient thermal management in porous, nanofluid‐filled systems is essential for applications such as compact ...
Shafaq Naz, Saman Mushtaq
wiley   +1 more source

Values of local Nusselt number and local Sherwood number for different values of and when and

open access: yes, 2014
Values of local Nusselt number and local Sherwood number for different values of and when and
Tariq Hussain (607201)   +3 more
core   +1 more source

Numerical Investigation of MHD‐Driven Heat and Mass Transfer in a Porous Enclosure Filled With Cu–Water Nanofluid

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
A finite element framework is developed to analyze MHD flow and heat transfer in a porous T‐joint cavity under an inclined magnetic field, including viscous dissipation and heat source/sink effects. The model combines domain discretization, mesh refinement, and equation discretization to obtain validated numerical predictions.
Samiha Islam Tanni   +4 more
wiley   +1 more source

Nusselt number calculation methods based on CFD simulations applied to forced convection over cylinders

open access: yesResults in Engineering
Industrial thermal machines and electronic equipment require heat exchangers to maintain optimal operating temperatures. The design of heat exchangers involves modeling convective heat transfer in a manner consistent with Newton’s law of cooling and ...
Fábio Alfaia da Cunha   +1 more
doaj   +1 more source

Nanotechnology‐Driven Analysis of MHD Maxwell‐Casson Nanofluid Flow With Activation Energy Using Artificial Neural Networks

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
This study investigates Casson nanofluid flow over a porous inclined plate under magnetic field, thermal radiation, buoyancy, and chemical reaction with activation energy. A feedforward artificial neural network (ANN) is employed to solve the coupled nonlinear governing equations and predict velocity, temperature, and concentration profiles.
D. Prabu   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy