eBiltegia - Digital repository of Mondragon Unibertsitatea
The Digital Repository of Mondragon Unibertsitatea provides you with full text access to the documents produced by the university as a result of its academic, research and institutional activity. Its purpose is to increase the visibility of University´s scientific and teaching production, to spread its impact and to assure its preservation, complying with the institution's Open Access policies:
You will find doctoral theses, bachelor and master thesis, teaching materials, university publications, working documents, preprints, postprints, articles, conference proceedings, data sets, institutional documents, 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 ...