Results 91 to 100 of about 79,851 (290)
Bioinspired Design of Isotropic Lattices with Tunable and Controllable Anisotropy
This study introduces nested isotropic lattices, integrating architectural elements like nesting orders and orientations inspired by bioarchitectures. The design enables tunable anisotropy across nine mono‐nest and twenty multi‐nest lattices with 252 parametric variations, demonstrating transitions from shear‐ to tensile‐compression‐dominant behaviors ...
Ramalingaiah Boda+2 more
wiley +1 more source
Viscoelastic Flow through an Axisymmetric Contraction Using the Grid-by-Grid Inversion Method
The newly developed algorithm called the grid-by-grid inversion method is a very convenient method for converting an existing computer code for Newtonian flow simulations to that for viscoelastic flow simulations.
H. M. Park
doaj +1 more source
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring+2 more
wiley +1 more source
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
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks
There is a significant expansion in both volume and range of applications along with the concomitant increase in the variety of data sources. These ever-expanding trends have highlighted the necessity for more versatile analysis tools that offer greater opportunities for algorithmic developments and computationally faster operations than the standard ...
Kisil, Ilya+4 more
openaire +2 more sources
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör+9 more
wiley +1 more source
Characterizations of the expanse of processes parameter combinations that can be used to minimize cracking and porosity while optimizing crystallization and hardness are used to assess laser processing of four glass‐forming alloys. The set of viable alloys for laser additive manufacturing is not the same as for suction casting; some alloys are common ...
Soumya Mohan+3 more
wiley +1 more source
Probing cardiomyocyte mobility with multi-phase cardiac diffusion tensor MRI.
PurposeCardiomyocyte organization and performance underlie cardiac function, but the in vivo mobility of these cells during contraction and filling remains difficult to probe.
Kévin Moulin+4 more
doaj +1 more source
Pointwise approximation by elementary complete contractions [PDF]
A complete contraction on a C*-algebra A, which preserves all closed two sided ideals J, can be approximated pointwise by elementary complete contractions if and only if the induced map on the tensor product of B with A/J is contractive for every C*-algebra B, ideal J in A and C*-tensor norm on the tensor product.
arxiv
Elastic‐Wave Propagation in Chiral Metamaterials: A Couple‐Stress Theory Perspective
The intrinsic chirality of chiral metamaterials renders an effective medium based on the classical continuum theory ineffective for predicting their acoustic activity. This limitation is addressed in the present study by employing augmented asymptotic homogenization to derive a couple‐stress‐based effective medium, enabling accurate predictions in the ...
Shahin Eskandari+5 more
wiley +1 more source