Mostrando ítems 1-20 de 5361

    • Producing cognitive discourse functions in disciplinary Basque writing: developmental patterns across secondary education and L1 profiles 

      Arias-Hermoso, Roberto; Garro, Eneritz; Imaz Agirre, Ainara (Taylor & Francis Group, 2025-04-10)
      The present study explores the developmental patterns of bilingual secondary education students in a disciplinary writing task in Basque, their language of instruction. A cross-sectional sample of 547 bilingual students ...
    • Multilingual disciplinary literacies: exploring developmental patterns of science writing across secondary education 

      Arias-Hermoso, Roberto; Imaz Aguirre, Ainara; Garro, Eneritz (Taylor & Francis Group, 2025-03-23)
      This study examines multilingual disciplinary literacies from a developmental perspective, a still relatively underexplored matter. Using a cross-sectional design, 535 multilingual learners enrolled in Basque immersion ...
    • Development and optimization of a finite element model with remeshing and Lagrangian formulation for the simulation of high deformation manufacturing processes 

      Valdivia Maldonado, Ignacio Manuel; Oruna, Ainara; Ortiz-de-Zarate, Gorka; Ducobu, François; Germain, Guénaël; ARRAZOLA, PEDRO JOSE (Elsevier, 2025)
      High deformation manufacturing processes, such as forming and machining, are complex physical phenomena involving severe thermo-mechanical and chemical loads. Traditional industrial-scale empirical methods involve high ...
    • An experimental methodology to improve the robotic drilling of aluminium alloys 

      Ducobu, François; Beuscart, Thomas; Dambly, Valentin; Rivière-Lorphèvre, Edouard; Ortiz-de-Zarate, Gorka; ARRAZOLA, PEDRO JOSE (Elsevier, 2025)
      In aeronautics, mastering the drilling process is crucial to meet strict quality standards. While robots provide a cost-effective solution for drilling large, complex parts, challenges arise in metallic materials due to ...
    • Finite Element Modeling to Design Optimized TMD for Milling Tools 

      Etxebeste , Mikel; Ortiz-de-Zarate, Gorka; ARRIETA, Iñaki Mirena; ARRAZOLA, PEDRO JOSE (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. ...
    • Effect of the supporting disks shape on nonlinear flow dynamics in a liquid bridge 

      Gaponenko, Yuri; Yasnou, V.; Mialdun, Aliaksandr; Nepomnyashchy, Alexander; Shevtsova, Valentina (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 

      Prokopev, Sergei; Lyubimova, Tatyana; Mialdun, Aliaksandr; Shevtsova, Valentina (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 ...
    • An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance 

      Reguera-Bakhache, Daniel; Garitano, Iñaki; Cernuda, Carlos; Uribeetxeberria, Roberto; Zurutuza, Urko; Lasa, Ganix (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 

      Mar Medina, Javier; Gorostiza, Ania; Arrospide, Arantzazu; Larrañaga Uribeetxeberria, Igor; Alberdi Aramendi, Ane; Cernuda, Carlos; Iruin, Álvaro; Tainta, Mikel; Mar Barrutia, Lorea; Ibarrondo Olagüenaga, Oliver (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 ...
    • High Frequency Modeling of Electric Drives for Electromagnetic Compatibility Analysis 

      Almandoz, Gaizka; Zárate Barriga, Sergio; Egea, Aritz; Moreno, Yerai; Urdangarin Lasa, Ander; Moreno, Roberto (IEEE, 2020)
      In the present paper a time domain simulation of the overall electric drive, comprising the power converter, the power cables and the electrical machine is developed in order to analyse in detail the electromagnetic ...
    • End magnet optimisation for the reduction of the thrust ripple of linear switched-flux machines 

      Eguren-Alustiza, Imanol; Almandoz, Gaizka; Egea, Aritz; Zárate Barriga, Sergio; Urdangarin Lasa, Ander (IEEE, 2020)
      Thanks to the usage and the placement of permanent magnets, linear switched flux machines exhibit a good performance even at a moderate cost. However, these machines are affected by high detent force and on load thrust ...
    • Universal Electric Vehicle Charging Infrastructure Analysis Tool 

      Aizpuru, Iosu; Arruti Romero, Asier; Anzola, Jon; IRAOLA, UNAI; Mazuela, Mikel; Rujas, Alejandro (IEEE, 2020)
      The proposed research article presents a simulation and comparison tool for Electric Vehicle EV charging infrastructure simulation. The design, development and sizing of an EV charging station is not a trivial engineering ...
    • El componente experiencial para la apropiación tecnológica 

      Mazmela Etxabe, Maitane; Lasa, Ganix; Aranburu, Erik (Dyna, 2019)
      Actualmente, la evolución exponencial de los avances tecnológicos en entornos de trabajo, está generando disrupción y cambios de paradigma continuos. La tecnología ha tomado un rol transformacional y la digitalización está ...
    • An Industry 4.0 maturity model for machine tool companies 

      Lizarralde Dorronsoro, Rafael; Ganzarain, Jaione; López Vargas, Cristina; Serrano Lasa, Ibon (Elsevier, 2020)
      Industry 4.0 is the new productive paradigm that is driving the 4th industrial revolution. The specific difficulties in adapting to this new approach pose challenges for Machine Tool (MT) companies, mostly Small and Medium ...
    • Analysis of the dynamic characterisation and behaviour of an elevator rope 

      Mendizabal, Mikel; Iriondo, Jaione; McCloskey, Alex; Otaño Aramendi, Nerea; Galfarsoro, Unai; Hernández García, Xabier (ISMA - International Conference on Noise and Vibration Engineering, 2020)
      The ropes of an elevator transmit the vibrations from the motor to the elevator car, and consequently have a great influence on comfort. Therefore, it is of major interest to analyse the dynamic behaviour of these elements, ...
    • Comfort improvement of an elevator car by viscoelastic sandwich panels 

      Mendizabal, M.; Iriondo, Jaione; Hernández García, Xabier; McCloskey, Alex; Irazu, Leire (ISMA - International Conference on Noise and Vibration Engineering, 2020)
      Viscoelastic sandwich structures have become one of the most important techniques to reduce structural vibrations. These structures have a great damping capacity due to their viscoelastic core, and their metallic skins ...
    • Analysis of the noise attenuation in ducts by means of rigid perforated panels 

      McCloskey, Alex; Guiral García, Ainara; Iriondo, Jaione; Galfarsoro, Unai (ISMA - International Conference on Noise and Vibration Engineering, 2020)
      The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect to take into account when the comfort of the users is compromised. For instance, passengers in trains perceive this noise, which ...
    • An interpretable operational state classification framework for elevators through Convolutional Neural Networks 

      Olaizola Alberdi, Jon; Izagirre, Unai; Serradilla Casado, Oscar; Zugasti, Ekhi; Mendicute, Mikel; Aizpurua Unanue, José Ignacio (Wiley, 2025)
      Ensuring the safe, reliable, and cost-efficient operation of transportation systems such as elevators is critical for the maintenance of civil infrastructures. The ability to monitor the health state and classify different ...
    • Impact of Gallium Nitride Devices in Real Power Electronics Applications 

      Udabe Zabala, Ander (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2024)
      Power converters traditionally use Silicon (Si) transistors and diodes for the conversion and control of electrical energy. Decades of refinement of manufacturing processes have led to the production of Silicon with ...
    • Modelling of magnetic devices for high frequency power converters 

      Arruti Romero, Asier (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2024)
      Magnetic devices are becoming the bottleneck element in many high frequency power converter designs. Although fast switching low resistance power transistors are readily available, due to increased losses and limited ...