Results 191 to 200 of about 75,987 (260)

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Real-Time Visualization of Turbulent Micromixing in a T-Mixer: Submillisecond Homogenization Revealed by Chemiluminescence. [PDF]

Anal Chem
Ishii Y, Ogawa T, Onda K, Miyagishi HV, Ashikari Y, Nagaki A, Asano S, Miyata K.   +7 more
europepmc   +1 more source

Influence of Structural and Environmental Parameters on Solar Air Collector Performance

Energy Science &Engineering, EarlyView.
Increasing air gap depth and mass flow rate significantly enhances the thermal performance of solar air collectors, with optimal performance achieved at an 8.5 cm air gap and 0.01318 kg/s mass flow rate. Air gap depth is identified as the dominant factor influencing system efficiency.
Quankun Zhu, István Farkas, János Buzas   +2 more
wiley   +1 more source

Optimizing the heating performance of Trombe walls with ribbed surfaces using three-dimensional CFD analysis. [PDF]

Sci Rep
Salhi JE, Zarrouk T, Jain S, Barboucha M, Siddiqui MIH, Parvez S, Moreda GA.   +6 more
europepmc   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

Energy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source

Synergistic Effects of Biomimetic Structures on Heat Transfer Enhancement and Flow Resistance Reduction. [PDF]

Biomimetics (Basel)
Wang K, Shi Y, Chen J, Dai Y.
europepmc   +1 more source

Application, Challenges, and Prospects of Non‐Thermal Processing Technologies for Seaweed Protein Extraction—A Review

Food Chemistry International, EarlyView.
This review highlights non‐thermal extraction technologies for seaweed proteins, emphasizing their mechanisms, impacts on protein structure and functionality, and sustainability potential. Key limitations related to species dependence, extract complexity, and scale‐up are discussed to guide future industrial and biorefinery applications.
Rahat Mahmud, Md Fuad Al Hasan, Shuvojit Roy, Tanvir Ahmed   +3 more
wiley   +1 more source

Numerical investigation of thermal performance in unsteady Casson hybrid nanofluid flow across rotating disks under variable Darcy resistance and Joule heating. [PDF]

Discov Nano
Yasmin H, Al-Essa LA, Noor S, Haq I.
europepmc   +1 more source

Monolithic Framework to Simulate Fluid‐Structure Interaction Problems Using Geometric Volume‐of‐Fluid Method

International Journal for Numerical Methods in Fluids, EarlyView.
A three‐dimensional fluid‐structure interaction (FSI) framework is developed using the geometric volume‐of‐fluid (VOF) interface capturing method and applied to assess largescale turbulent FSI interactions. The monolithic FSI framework is extensively validated, and despite the discontinuities across the interface, the FSI framework delivers stable and ...
Soham Prajapati, Ali Fakhreddine, Krishnan Mahesh   +2 more
wiley   +1 more source

Comparative analysis of the water-based nanofluids in semi-circular heat transfer systems for thermohydraulic performance evaluation. [PDF]

Nanoscale Adv
Ali U, Janajreh I.
europepmc   +1 more source