J
José Antonio Yagüe Fabra
Researcher at University of Zaragoza
Publications - 5
Citations - 34
José Antonio Yagüe Fabra is an academic researcher from University of Zaragoza. The author has contributed to research in topics: Production engineering & Agency (philosophy). The author has an hindex of 3, co-authored 4 publications receiving 26 citations.
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Journal ArticleDOI
Traceability of on-machine tool measurement: Uncertainty budget assessment on shop floor conditions
Unai Mutilba,Alejandro Sandá,Ibon Vega,Eneko Gomez-Acedo,Ion Bengoetxea,José Antonio Yagüe Fabra +5 more
TL;DR: A medium size on-machine tool measurement uncertainty assessment is reviewed and the significance of each uncertainty contributor on shop floor conditions is given and an experimental test according to ISO 15530-3:2011 standard is executed for a medium size prismatic component.
Journal ArticleDOI
Person-Based Design: A Human-Centered Approach for Lean Factory Design
TL;DR: The outcomes of this research provide a coherent mindset for managers facing an organizational change, and the structured method allows for the design of effective lean factories, which are particularly useful when space and/or labor productivity constitute the main factors of a firm’s competitiveness.
Journal ArticleDOI
One-Dimensional Control System for a Linear Motor of a Two-Dimensional Nanopositioning Stage Using Commercial Control Hardware.
Lucía Candela Díaz Pérez,Marta Torralba Gracia,José Antonio Albajez García,José Antonio Yagüe Fabra +3 more
TL;DR: A one-dimensional (1D) control strategy for positioning a Halbach linear motor has been developed, implemented, and experimentally validated and it was verified that the control system achieves the working requirements of the NanoPla.
Journal ArticleDOI
Trajectory Definition with High Relative Accuracy (HRA) by Parametric Representation of Curves in Nano-Positioning Systems.
Lucía Díaz Pérez,Beatriz Rubio Serrano,José Antonio Albajez García,José Antonio Yagüe Fabra,Esmeralda Mainar Maza,Marta Torralba Gracia +5 more
TL;DR: This work studies the contribution of the trajectory definition errors to the final positioning uncertainty of a large-range 2D nanopositioning stage and verified that the HRA method offers better positioning accuracy than commonly used CAD/CAM methods when defining a trajectory by curve fitting.
Proceedings ArticleDOI
Demonstrating engineering schools’ commitment to the achievement of the SDGs: The ALCAEUS Evaluation Program / 2030 Agenda. A case study
TL;DR: The ALCAEUS pilot program was carried out last year and two Engineering Schools (Escuela de Ingeniería y Arquitectura and Escuela Politécnica Superior) of the University of Zaragoza (Spain) participated in it as discussed by the authors .