Results 241 to 250 of about 7,593,248 (327)

Analysis of Temperature and Stress Distribution on the Bond Properties of Hybrid Tailored Formed Components

open access: yesAdvanced Engineering Materials, EarlyView.
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek   +7 more
wiley   +1 more source

Nonlinearity and Domain Switching in a 3D‐Printed Architected Ferroelectric

open access: yesAdvanced Engineering Materials, EarlyView.
By combining functional properties measurement with in situ 2D X‐ray microdiffraction experiments, it is shown that nonlinear polarization and strain responses of a 3D‐printed architected ferroelectric are driven by localized progression of domain switching, which depends on nonuniform electric‐field distribution as well as evolving stress fields.
Abhijit Pramanick   +7 more
wiley   +1 more source

Beyond Global Mechanical Properties: Bioinspired Triply‐Periodic Minimal Surface Cellular Solids for Efficient Mechanical Design and Optimization

open access: yesAdvanced Engineering Materials, EarlyView.
Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish   +2 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco   +8 more
wiley   +1 more source

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