Alejandro Fernández Suárez

Apoyo técnico para el análisis de viabilidad y conceptualización de un sistema de ingeniería inversa basado en tecnologías de escaneado 3D (Project Rosetta)

Abstract: In this project, EPMAN conducted an in-depth analysis of AEGIS’s reverse engineering requirements. AEGIS manages a significant number of modification projects involving in-service train fleets, often with limited or outdated design information and little involvement from the original manufacturer. Based on this analysis, EPMAN [...]

By Gonzalo Valino|2026-09-13T21:16:30+00:00septiembre 11, 2026|Projects, Private Funding Projects|0 Comments

Technological Support for the Development of a Human Face Digitization System Based on Optical Sensors

Abstract This project provided technological support for the development of an optical human face digitization system aimed at customizing 3D-printed oronasal masks. Two acquisition strategies (simultaneous and progressive) were analyzed and compared. A test bench incorporating simplified prototypes was designed and built, and different configurations [...]

By Carlos Rico|2026-09-18T09:43:17+00:00septiembre 10, 2026|Projects, Private Funding Projects|0 Comments

Induction-Heated, Unrestricted-Rotation Rectangular-Slot Hot End for FFF
Gallery
Induction-Heated, Unrestricted-Rotation Rectangular-Slot Hot End for FFF

Publications

Induction-Heated, Unrestricted-Rotation Rectangular-Slot Hot End for FFF

Abstract This work presents a fused-filament fabrication (FFF) hot end that combines an unrestricted-rotation C-axis with a rectangular-slot nozzle and an induction-heated melt sleeve. The architecture replaces the popular resistive cartridge and heater block design with an external coil that induces eddy-current heating in a [...]

By Carlos Rico|2026-09-24T10:03:16+00:00agosto 16, 2026|Publications|0 Comments

A run-centric spatiotemporal information architecture for multisensor monitoring in filament-based material extrusion
Gallery
A run-centric spatiotemporal information architecture for multisensor monitoring in filament-based material extrusion

Theses, PhD

A run-centric spatiotemporal information architecture for multisensor monitoring in filament-based material extrusion

Abstract Filament-based material extrusion has evolved from a low-cost prototyping technique into a manufacturing process increasingly considered for functional and quality-critical applications. However, its industrial adoption remains constrained by a persistent traceability gap between planned process parameters and final part outcomes. During fabrication, heterogeneous monitoring [...]

By Gonzalo Valino|2026-09-22T17:54:20+00:00mayo 12, 2026|Theses, PhD|0 Comments

Evaluating the influence of machine type on surface roughness in material extrusion
Gallery
Evaluating the influence of machine type on surface roughness in material extrusion

Publications

Evaluating the influence of machine type on surface roughness in material extrusion

Abstract Surface quality in material extrusion of polymers (MEX/P) plays a critical role in determining the functional performance of printed parts, especially in components that must work together and in sectors such as medical and aerospace. Predicting surface quality before printing shall be therefore considered [...]

By Carlos Rico|2026-09-24T10:37:29+00:00septiembre 15, 2025|Publications|0 Comments

In‑situ digitising system for geometric improvement of layer contours in additive manufacturing
Gallery
In‑situ digitising system for geometric improvement of layer contours in additive manufacturing

Publications

In‑situ digitising system for geometric improvement of layer contours in additive manufacturing

Abstract Additive manufacturing (AM) has faced challenges in achieving the part accuracy required for industrial adoption. Most research has focused on offline inspection of geometric deviations in test parts. This paper introduces a novel approach to enhance part accuracy and process control in Polymer Extrusion [...]

By Gonzalo|2026-09-15T16:42:25+00:00junio 17, 2025|Publications|0 Comments

Accuracy Enhancement of Metal MEX Manufactured Parts through Geometry Compensation and Data-Driven Optimization (AEMMEX)
Gallery
Accuracy Enhancement of Metal MEX Manufactured Parts through Geometry Compensation and Data-Driven Optimization (AEMMEX)

Projects, Public Funding Projects

Accuracy Enhancement of Metal MEX Manufactured Parts through Geometry Compensation and Data-Driven Optimization (AEMMEX)

Abstract The processes utilized for Additive Manufacturing (AM) production of metallic parts usually entail the use of hazardous feedstocks, expensive production equipment, and high energy consumption. Metal Material Extrusion AM (MEX/M) presents an alternative multi-step approach that addresses these challenges by additively extruding polymer-metal composite [...]

By Gonzalo|2026-09-17T17:14:49+00:00septiembre 1, 2024|Projects, Public Funding Projects|0 Comments

Layer contour geometric characterization in MEX/P through CIS-based adaptive edge detection
Gallery
Layer contour geometric characterization in MEX/P through CIS-based adaptive edge detection

Publications

Layer contour geometric characterization in MEX/P through CIS-based adaptive edge detection

Abstract: The industrial adoption of material extrusion of polymers (MEX/P) is hindered by the geometric quality of manufactured parts. Contact image sensors (CISs), commonly used in flatbed scanners, have been proposed as a suitable technology for layer-wise characterization of contour deviations, paving the way for [...]

By Gonzalo|2026-07-06T17:24:20+00:00junio 17, 2024|Publications|0 Comments

On-Machine LTS Integration for Layer-Wise Surface Quality Characterization in MEX/P

Abstract Material Extrusion (MEX) currently stands as the most widespread Additive Manufacturing (AM) process, but part quality deficiencies remain a barrier to its generalized industrial adoption. Quality control in MEX is a complex task as extrusion performance impacts the consistency of mechanical properties and the [...]

By Carlos Rico|2026-09-17T15:44:09+00:00junio 9, 2024|Publications|0 Comments