16 research outputs found
Phase Diagram of Metal-Insulator Transition in System with Anderson-Hubbard Centers
The model of a strongly correlated system in which periodically spaced
Anderson-Hubbard centers are introduced into narrow-band metal is considered.
Besides the interactions between localized magnetic moments and strong on-site
Coulomb interaction, the model takes into account the hybridization of
localized and band states. To study the efect of the lattice deformation on the
electrical properties of the system the phonon term and elastic energy have
been taken into account. Green functions for band and localized electrons have
been found. On this base, the energy spectrum has been investigated as function
of model parameters, temperature and external pressure. The criterion of
metal-insulator transition for integer value of electron concentration has been
derived and the phase diagram of the metal-insulator transition has been built.Comment: presented at 12 International Simposium on Physics of Materials,
Prague 4-8.09.201
Material matters: predicting the core hardness variance in industrialized case hardening of 18CrNi8 [Vorhersage der Kernhärtenvarianz von industriell einsatzgehärtetem 18CrNi8]
To explain the variance in core hardness of 18CrNi8 nozzle bodies after industrial heat treatment, several data sources, including steel melt composition, sensor process data, and measurement errors, of five years are aggregated. In order to predict hardness variations caused by alloy composition, traditional physical models by Maynier are compared with data-driven machine learning models, which show no advantage due to low data variability. Neither method can fully explain the visible drifts, which are better tracked by an alternative (i. e., filter model) that uses past measurements. Machine learning on features from heat treatment is not successful in predicting hardness change, presumably because the process is too stable. Finally, a large part of the variance is caused by the HV 1 measurement error