Fabrication of high-purity polycrystalline mgo
Chemical production and analysis of magnesium oxide - high purity polycrystalline fabrication
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Chemical production and analysis of magnesium oxide - high purity polycrystalline fabrication
Creep behavior of polycrystalline aluminum oxide and sodium chloride at high temperatures
Creep tests and stress levels in determining mechanical behavior of polycrystalline nonmetallic materials at elevated temperatures
Ductility in polycrystalline single phase ceramics, noting behavior at room and high temperature of single crystal structure, dislocation, etc
Vacuum thermionic work functions of polycrystalline Be, Ti, Cr, Fe, Ni, Cu, Pt and type 304 stainless steel
Mechanical behavior of polycrystalline nonmetallics at elevated temperature
Dielectric properties of polycrystalline barium titanate ceramic materials for microelectronic applications
Temperature and gamma radiation effects on electric breakdown of polycrystalline alpha phase aluminum oxide ceramic insulators used in nuclear thermionic reactors
Recrystallization effect on sliding friction of metals in single-crystal polycrystalline form
Microprobe study of impurities in hot-pressed polycrystalline MgO compact and existence of significant grain boundary volume
At cryogenic temperatures, TbDy alloys exhibit giant magnetostriction, which makes these materials interesting for engineering service in cryogenics actuators, valves, and positioners.
These heat switches are designed to replace slower gas-gap switches in many applications. Applications include isolating calorimeters, and the thermal shorting of heat shields to shorten cool down times on cryogenic apparatus.
To accurately predict the mechanical response of advanced metallic parts, the grain structure of the metal must be considered and coupled to the macroscale in a multiscale model. The size of the microscale representative volume element must be sufficiently large, and the grid used to discretize the microscale must be adequately refined, in order to ensure an accurate and converged solution. The generalized method of cells is used to predict the mechanical properties of polycrystalline representative volume elements of copper containing randomly oriented grains with the properties of a single face-centered-cubic crystal. Moreover, the results of a parametric study are used to conclude the geometric requirements for an objective microscale model, with respect to the elastic stiffness.
A convolutional neural network was used to enhance the localization of strain and stress for a generalized method of cells model of a metallic microstructure. Enhanced shear strains, measured in terms of the linear regression coefficients as a function of ground truth strains, were improved from inaccurate and uncorrelated (slope=0.003, Rsq=0.000) to accurate and well correlated (slope=0.890, Rsq=0.882) relative to ground truth (slope=1.0, Rsq=1.0). In applying the convolutional neural network, a convolutional stride of 1.0 (padding=’same’) was only modestly effective while strides of 2 or 3 were more effective yet at higher cost. Additional convolutional layers were generally more expensive than additional dense layers, often with limited benefit. The accuracy of enhanced localized shear strains and stress is expected to yield benefits for damage progression models, especially in the context of hierarchical multi-scale methods where the generalized method of cells is applied at the intermediate scale.