Results 51 to 60 of about 59,241 (298)
The goal of this paper is to propose and demonstrate a multi level design optimization approach for the coordinated determination of a material constitutive model synchronously to the design of the experimental procedure needed to acquire the necessary ...
John G. Michopoulos +3 more
doaj +1 more source
Advanced Methods of Joint Inversion of Multiphysics Data for Mineral Exploration
Different geophysical methods provide information about various physical properties of rock formations and mineralization. In many cases, this information is mutually complementary.
Michael S. Zhdanov +2 more
doaj +1 more source
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
Predicting Transdermal Fentanyl Delivery Using Mechanistic Simulations for Tailored Therapy
Transdermal drug delivery is a key technology for administering drugs. However, most devices are “one-size-fits-all”, even though drug diffusion through the skin varies significantly from person-to-person. For next-generation devices, personalization for
Thijs Defraeye +7 more
doaj +1 more source
Axial Flux PM In-Wheel Motor for Electric Vehicles: 3D Multiphysics Analysis
The Axial Flux Permanent Magnet (AFPM) motor represents a valid alternative to the traditional radial flux motor due to its compact structure; it is suitable for in-wheel applications so that the transmission gear can be suppressed.
Andrea Credo +5 more
doaj +1 more source
Electrodeposition in Structural Lattices of Variable Architectures
Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon +3 more
wiley +1 more source
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
A semi-automated Multiphysics simulation software for process design in the powder coating industry
Powder coating is a widely used industrial process to obtain functional or aesthetic surface properties on manufactured parts. In a previous contribution we have introduced a Multiphysics methodology to simulate real life coating applications with a ...
Siyahhan, Bercan, Boiger, Gernot Kurt
core +2 more sources
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
CFD modelling of pressure and shear rate in torsionally vibrating structures using ANSYS CFX and COMSOL Multiphysics [PDF]
This paper discusses numerical methodologies to simulate micro vibrations on a nontrivial torsionally oscillating structure. The torsional structure is the tip of a viscosity-density sensor using micro vibrations to measure the fluid properties.
Khawaja, Hassan +5 more
core +1 more source

