Results 141 to 150 of about 22,239 (263)

Performance Assessment of the Immersed Boundary Method in the Framework of the Moment Representation Lattice Boltzmann Method

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari   +2 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

open access: yesFlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu   +3 more
wiley   +1 more source

Heat Transfer Performance of Biphilic Surfaces With Diatomite‐Based Composite Coatings in a Closed Thermosyphon System

open access: yesHeat Transfer, EarlyView.
ABSTRACT This study investigates the thermal performance of innovative biphilic boiling surfaces designed for CPU cooling applications using a two‐phase closed thermosyphon (TPCT) system. The surfaces were fabricated by applying composite coatings—comprising epoxy resin and diatomite particles functionalized with APTES and PFOTS silanes— onto Al1050 ...
José Pereira   +3 more
wiley   +1 more source

BUOYANCE ASSISTED

open access: yes
This paper presents a detailed investigation into the potential of buoyancy-assisted energy harvesting using a cylindrical-block system.
openaire   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

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