Aims. We present a database of 43 340 atmospheric models (∼80 000 models at the conclusion of the project) for stars with stellar masses between 9 and 120 M⊙, covering the region of the OB main-sequence and Wolf-Rayet stars in the Hertzsprung-Russell diagram. Methods. The models were calculated using the ABACUS I supercomputer and the stellar atmosphere code CMFGEN. Results. The parameter space has six dimensions: the effective temperature Teff, the luminosity L, the metallicity Z, and three stellar wind parameters: the exponent β, the terminal velocity V∞, and the volume filling factor Fcl. For each model, we also calculate synthetic spectra in the UV (900−2000 Å), optical (3500−7000 Å), and near-IR (10 000−40 000 Å) regions. To facilitate comparison with observations, the synthetic spectra can be rotationally broadened using ROTIN3, by covering v sin i velocities between 10 and 350 km s−1 with steps of 10 km s−1. Conclusions. We also present the results of the reanalysis of ϵ Ori using our grid to demonstrate the benefits of databases of precalculated models. Our analysis succeeded in reproducing the best-fit parameter ranges of the original study, although our results favor the higher end of the mass-loss range and a lower level of clumping. Our results indirectly suggest that the resonance lines in the UV range are strongly affected by the velocity-space porosity, as has been suggested by recent theoretical calculations and numerical simulations.
Since the beginning of the industrial revolution, manufacturing has gone through different stages: the 1st technological islands, 2nd the mass production, 3rd the lean manufacturing and the 4th IIoT (for the year 2025); we must keep in mind the leadership in the production of goods today what the Eastern countries have (and are using stage 3), so that the current guidelines have the necessary meaning, which establishes a new way of producing more as the potential of technologies that are in the process of maturation such as: Artificial Intelligence, Big Data, 3D Printing and Robotics; find original solutions to the problems of productivity, customization, just in time and services.Artificial Intelligence is taking a leading role in solving manufacturing problems, with the purpose of eliminating all those areas that are blindly worked, and that therefore it is not possible to improve by suffering from data to: analyze them, obtain information, establish controls and improve. The above is achieved by establishing disruptive technologies that take control in real time.
We present a database of 45,000 atmospheric models (which will become 80,000 models by the end of the project) with stellar masses between 9 and 120 M ⊙ , covering the region of the OB main sequence and W-R stars in the H-R diagram. The models were calculated using the ABACUS I supercomputer and the stellar atmosphere code CMFGEN. The parameter space has 6 dimensions: the effective temperature T eff , the luminosity L, the metallicity Z, and three stellar wind parameters, namely the exponent β , the terminal velocity V ∞ , and the volume filling factor F cl . For each model, we also calculate synthetic spectra in the UV (900-2000Å), optical (3500-7000Å), and near IR (10000-30000Å) regions. To facilitate comparison with observations, the synthetic spectra were rotationally broaden using ROTIN3, by covering v sin i velocities between 10 and 350 km/s with steps of 10 km/s, resulting in a library of 1 575 000 synthetic spectra. In order to demonstrate the benefits of employing the databases of pre-calculated models, we also present the results of the re-analysis of ε Ori by using our grid.
2019). Importancia del mantenimiento, aplicación a una industria textil y su evolución en eficiencia. 3C Tecnología. Glosas de innovación aplicadas a la pyme, 8(2), pp. 50-67. doi: http://dx.doi.org/10.17993/3ctecno/2019.v8n2e30.50-67 52 3C Tecnología. Glosas de innovación aplicadas a la pyme. ISSN: 2254-4143 RESUMEN La importancia hoy en día del mantenimiento por su contribución a la productividad es innegable. Este artículo expone un análisis de la evolución del mantenimiento, en referencia a una fábrica de tejido, haciendo una descripción por medio de sus datos reales, se propone una reestructuración del método de mantenimiento, que evidentemente si se implementara se obtendrían mejoras en la productividad. El tema es complejo por naturaleza ya que, según los métodos actuales de mantenimiento, debe ser abordado desde diferentes ángulos (multidisciplinar) y en todos los niveles de la organización por ser una actividad Logística de nivel estratégico. ABSTRACTThe importance today of maintenance for its contribution to productivity is undeniable. This article presents an analysis of the evolution of maintenance, in reference to a fabric factory, making a description by means of its real data, a restructuring of the maintenance method is proposed, which evidently, if implemented, would result in improvements in productivity. The subject is complex by nature since, according to current methods of maintenance, it must be approached from different angles (multidisciplinary) and at all levels of the organization because it is a Logistics activity at a strategic level.
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