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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A Hierarchical Multilevel Modeling Framework for the Creation of High-Quality Solid Models in Parametric Feature-Based CAD Systems
(U-turn Press, 2025)Building on the premise that quality is a complex and multifaceted concept, we advocate for the structuring of the concept of quality in engineering design parametric CAD modeling by using three hierarchical levels. The ... -
Embracing strategic knowledge for developing a methodological framework for parametric modeling quality
(U-turn Press, 2025)In Model-Based Enterprise environments, 3D CAD models — specifically, native parametric solid models — become the primary carriers of design information for engineering and manufacturing activities. It is therefore critical ... -
Challenge-Based Learning in Higher Education: Master’s Degree in Logistics and Productive Operations Management from Mondragón University
(Editorial Universitat Politècnica de València, 2024)Since 2022, Mondragon University has implemented Challenge-Based Learning (CBL) in the teaching and learning process of the Master’s in Logistics and Productive Operations Management (MUDOLP) program. This article describes ... -
Tool surface texturing by shot peening: initial results and lessons learned
(IOP Publishing, 2024)Abrasive and adhesive wear is a major issue in sheet metal forming processes. Although different solutions exist to reduce its impact, there is still room for progress. Surface texturing presents a big potential for ... -
On the use of machine learning for predicting femtosecond laser grooves in tribological applications
(Elsevier, 2024)Femtosecond laser surface texturing is gaining increased interest for optimizing tribological behaviour. However, the laser surface texturing parameter selection is often conducted through time-consuming and inefficient ...