Results 111 to 120 of about 51,105 (282)
Heat Transfer, Volume 55, Issue 1, Page 212-240, January 2026.ABSTRACT This study reviews recent advances in using nanofluids to enhance double‐pipe heat exchanger (DPHE) efficiency. The review examines several types of nanofluids, that is, water‐based graphene oxide and CuO–water nanofluids, assessing their effectiveness under different operating conditions, including inlet temperature and nanoparticle volume ...
Farhan Lafta Rashid +8 more
wiley +1 more source
Scaling and spatial intermittency of thermal dissipation in turbulent convection
, 2019 We derive scaling relations for the thermal dissipation rate in the bulk and in the boundary layers for moderate and large Prandtl number (Pr) convection.
Chandrasekhar S. +7 more
core +1 more source
Heat Transfer, Volume 55, Issue 1, Page 764-774, January 2026.ABSTRACT This review explores the impact of gravitational instability on convective heat transfer, integrating existing research results and theoretical models. Gravitational instability is vital in promoting or hindering convective actions in different systems, such as atmospheric events, ocean currents, and industrial processes.
Hossam A. Nabwey +3 more
wiley +1 more source
Flow Regulation in a T‐Shaped Mixing Channel Using a Proportional‐Integral‐Derivative Controller
The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.This study investigates mixed convection in a 2D T‐shaped channel with a heated cylinder, employing a PID controller to regulate airflow and maintain consistent outlet temperatures. Using the Galerkin finite element method (GFEM), the effects of varying PID parameters on system stability and response time are analysed.
Siam Abrar Saad, Nahid Hasan, Sumon Saha
wiley +1 more source
Journal of the American Ceramic Society, Volume 109, Issue 1, January 2026.Abstract Silicon carbide (SiC) is a promising material for hypersonic thermal protection systems, but its complex oxidation behavior—marked by transitions between passive, active, and interfacial bubbling regimes—can lead to catastrophic failure. Existing SiC models typically focus exclusively on either passive or active oxidation.
Théo A. Rulko, Raúl A. Radovitzky
wiley +1 more source
Optimization of two-wheeler Bike engine among three different designs using design of experiments
HeliyonThis research presents the results of a fin heat transfer study of three different models of the motorcycle engine. The objective of this study is to minimize the external body temperature because the optimum design will be found when the heat transfer ...
Manish Dadhich +6 more
doaj +1 more source
Fully Non-Dimensional Nusselt Number Correlation for Transient Natural Convection in Tanks [PDF]
, 2010 Rejane De Césaro Oliveski, F. C. Haas
openalex +1 more source
Microchannel fluid flow and heat transfer by lattice boltzmann method [PDF]
, 2014 This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the ...
4th Micro and Nano Flows Conference (MNF2014) +2 more
core
Heat Transfer of Viscous MHD Nanofluid Flow in the Presence of Solar Radiation With Entropy
Abstract and Applied Analysis, Volume 2026, Issue 1, 2026.To satisfy the power needs of human beings without affecting the environment, scientists have been working on the efficient practices of renewable energy sources such as solar, water, and wind. As a source of energy resources, solar radiation is preferred because of its unlimited availability and low ecological impact.
Girma Tafesse Workneh +2 more
wiley +1 more source
OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR
EJOVOC Electronic Journal of Vocational Colleges, 2015 This present research uses artifical neural networks (ANNs) to determine Nusselt numbers and friction factors for nine different baffle plate inserted tubes. MATLAB toolbox was used to search better network configuration prediction by using commonly used multilayer feed-forward neural networks (MLFNN) with back propagation (BP) learning algorithm with ...
openaire +4 more sources