Results 61 to 70 of about 418,771 (348)

Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing

open access: yesAdvanced Engineering Materials, EarlyView.
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická   +2 more
wiley   +1 more source

PEMANFAAT FREKUENSI BUNYI MATERIAL SEBAGAI DASAR PENGUJIAN MODULUS ELASTISITAS PADA PENGUJIAN TANPA MERUSAK (NON DESTRUCTIVE TEST)

open access: yesRotor: Jurnal Ilmiah Teknik Mesin, 2013
Elastic modulus of material are usually obtained from tensile test. Tensile test categorized as destructive test. One of destructive test weakness is the testing specimen can not be reused.
M. Fahrur Rozy Hentihu   +2 more
doaj  

MICRO THERMAL ELASTOHYDRODYNAMIC LUBRICATION ANALYSIS OF LINE CONTACT ROLLER PAIRS CONSIDERING THE CHANGE OF ELASTIC MODULUS

open access: yesJixie qiangdu, 2021
As an important performance parameter of metal materials,the elastic modulus changes with temperature.However,in the analysis of thermal elastohydrodynamic lubrication,the elastic modulus has been taken as a constant,and there must be an error in the ...
LU ZunYou, LV YanJun
doaj  

Elastic modulus measurements of cooked Lutefisk

open access: yesPhysics of Fluids, 2022
Lutefisk is a traditional Norwegian Christmas dish, made of dry cod soaked in a lye solution before re-hydrated. We report measurements of tissue rheological properties of cooked Lutefisk. Surprisingly, we find that the elastic modulus does not seem to depend heavily on cooking time, cooking temperature, or the amount of salt, but depends instead ...
Blandine Feneuil   +4 more
openaire   +3 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

Investigation of the Elastic Modulus of Polymer Sleepers Under a Quasistatic and Cyclic Loading

open access: yesCivil and Environmental Engineering, 2019
In ballasted track, the wheel load is transmitted to the subgrade via sleepers commonly made of impregnated wood, prestressed concrete, steel or recently developed polymer sleepers.
Lojda Vít   +2 more
doaj   +1 more source

Acoustic scattering from a strained region [PDF]

open access: yes, 2006
A composite material consists of a rubber filled with gas-filled microspheres. In underwater applications it is compressed hydrostatically by a pressure that may be not insignificant compared with the shear modulus of the rubber, so large strains are ...
Allwright, David   +2 more
core  

Elastic Energy, Fluctuations and Temperature for Granular Materials

open access: yes, 2003
We probe, using a model system, elastic and kinetic energies for sheared granular materials. For large enough $P/E_y$ (pressure/Young's modulus) and $P/\rho v^2$ ($P/$kinetic energy density) elastic dominates kinetic energy, and energy fluctuations ...
Edwards S. F.   +4 more
core   +1 more source

Apparent Modulus of Elasticity of Dental Amalgams [PDF]

open access: yesJournal of Dental Research, 1975
Peer Reviewed ; http://deepblue.lib.umich.edu/bitstream/2027.42/66932/2/10.1177_00220345750540043301 ...
Powers, John M., Farah, J. W.
openaire   +4 more sources

Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy