Results 131 to 140 of about 4,635 (267)

Physics-Informed Neural Network Modeling of Inflating Dielectric Elastomer Tubes for Energy Harvesting Applications. [PDF]

Polymers (Basel)
Askari-Sedeh M, Faraji M, Baniardalan M, Choi E, Ostadrahimi A, Baghani M.   +5 more
europepmc   +1 more source

A study of chevron type plate design on pressure drop and friction factor of brazed plate heat exchanger

Environmental Progress &Sustainable Energy, EarlyView.
Abstract Brazed plate heat exchanger (BPHE) was analyzed using computational fluid dynamics (CFD) simulations by ANSYS Fluent to investigate the chevron‐patterned plates. The influence of geometric parameters, including corrugation pitch, depth, and angle was analyzed.
J. S. Huang, K. B. Then, X. W. Wang
wiley   +1 more source

Adaptive Mesh Refinement for Two-Phase Viscoelastic Fluid Mixture Models. [PDF]

Comput Fluids
Nagda BM, Barrett A, Griffith BE, Fogelson AL, Du J.   +4 more
europepmc   +1 more source

The Seepage Characteristics of Single Rough Joint of Granite Based on NMR Technology: A Modified Cubic Law

Energy Science &Engineering, EarlyView.
The low‐field nuclear magnetic resonance (NMR) measurements are applied to investigate the seepage characteristics of the single rough joint. The purpose of this paper is to investigate the seepage characteristics of granite specimens with single‐joint channel under the different roughness, confining pressures and seepage pressures.
Hao Cheng, Xiujie Zhong
wiley   +1 more source

Large-strain anisotropic behavior of meat during cooking: A finite element study. [PDF]

Curr Res Food Sci
Grasa J, Teresi L, van der Sman R.
europepmc   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

Energy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng, Hui Zhang, Junpeng Li, Baokang Wu, Geng Zhang, Xinrui Wang, Jintao An, Long Chen, Yiming Ma   +8 more
wiley   +1 more source

Homogenised balance equations for nematic liquid crystal flow in elastic porous media. [PDF]

Z Angew Math Phys
Alwady M, Mottram NJ, Penta R.
europepmc   +1 more source

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

Penile Mondor Disease Following Circumcision: Diagnostic Insights from Color Doppler Ultrasound. [PDF]

Diagnostics (Basel)
Douroumis K, Kotrotsios K, Levis PK, Fragkiadis E, Katsimperis S, Spyridopoulos TN, Stravodimos K, Moulavasilis N.   +7 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