eBiltegia - Repositorio digital de Mondragon Unibertsitatea
El Repositorio digital de Mondragon Unibertsitatea da acceso abierto al texto completo de los documentos generados en la universidad resultado de su actividad académica, investigadora e institucional. Su objetivo es dar mayor visibilidad a la producción científica y docente de la Universidad, aumentar su impacto y asegurar su preservación, cumpliendo con las políticas de Acceso Abierto de la institución:
Podrás encontrar tesis doctorales, proyectos fin de carrera, material didáctico, publicaciones de la universidad, documentos de trabajo, preprints, postprints, artículos, actas de congresos, sets de datos, documentos institucionales, etc.
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Effect of the supporting disks shape on nonlinear flow dynamics in a liquid bridge
(AIP Publishing, 2021)The stability of convective flows in a non-homogeneous temperature field is affected by the shape of the container hosting the fluid. We present a nonlinear two-phase computational study of convection in a liquid bridge ... -
A ternary mixture at the border of Soret separation stability
(Royal Society of Chemistry, 2021)Ternary mixtures with the Soret effect are prone to triple-diffusive convection in a thermal field. The Soret coefficients of the toluene–methanol–cyclohexane mixture, measured in microgravity at a given composition ... -
Finite Element Modeling to Design Optimized TMD for Milling Tools
(Elsevier, 2025)Long milling tools are often limited in productivity due to chatter vibrations. Embedded Tuned Mass Dampers (TMDs) in these tools have proven to be an effective solution for reducing chatter and increasing productivity. ... -
An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance
(IEEE, 2021)Adaptive User Interfaces (AUI) have the potential to deliver advantageous solutions for a wide range of industrial applications. Their ability to adapt to operator interaction patterns and achieve a more personalised ... -
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data
(Elsevier, 2022)Introduction Incidence rates of dementia-related neuropsychiatric symptoms (NPS) are not known and this hampers the assessment of their population burden. The objective of this study was to obtain an approximate estimate ...