SURFAV
Enhanced Surfaces for High Added-Value Hybrid Manufacturing Processes
ABOUT SURFAV
ABOUT THE PROJECT
SURFAV is a cross-border research and innovation project developing advanced manufacturing solutions through surface engineering, artificial intelligence and hybrid manufacturing technologies.
The project brings together universities and industrial partners from Spain and France to improve the quality, performance and industrial applicability of high-value manufactured components.
PROJECT FACTS
SURFAV at a glance
7
PARTNERS
Universities, research centres and industrial organisations.
2
COUNTRIES
Spain and France working together through a cross-border consortium.
3
YEARS
2026–2028: Three years of research and innovation activities.
€1.47M
TOTAL BUDGET
Co-funded by the Interreg POCTEFA programme and the ERDF.
SURFACE ENGINEERING · HYBRID MANUFACTURING · ARTIFICIAL INTELLIGENCE · PREDICTIVE MODELS · INDUSTRIAL INNOVATION · CROSS-BORDER RESEARCH
PROJECT OBJECTIVES
A SHARED APPROACH TO HYBRID MANUFACTURING
01 Advanced Manufacturing
Development of innovative hybrid manufacturing processes combining additive and subtractive technologies to improve the production of high-value industrial components.
02 Surface Engineering
Enhancement of surface quality and functional performance through advanced surface treatments, optimisation techniques and manufacturing strategies.
03 AI & Predictive Models
Application of artificial intelligence and numerical simulation to improve process efficiency, predict performance and support industrial decision-making.
Collaborative research and innovation across the POCTEFA territory
PROJECT PARTNERS
STAY INFORMED
LATEST NEWS & PROJECT UPDATES
UPNA DesignCabin becomes a showcase for SURFAV project advances
25 June 2026
First SURFAV Consortium Meeting
26 May 2026
FEM and FDM Models Compared for Faster WAAM Thermal Simulations
22 May 2026
New Study Evaluates the Influence of WAAM Deposition Modes on Al5356 Performance
21 May 2026
LOOKING AHEAD
FROM RESEARCH TO INDUSTRIAL APPLICATION
Bringing together research excellence, industrial expertise and artificial intelligence to advance hybrid manufacturing through innovative surface engineering solutions.
