Fernando Veiga

About

Fernando Veiga is a researcher specializing in advanced manufacturing, robotic welding automation, and additive manufacturing technologies, with a particular focus on industrial applications in aerospace, automotive, shipbuilding, and oil and gas sectors. His work sits at the intersection of intelligent systems, robotics, and materials processing, making significant contributions to how modern industries approach complex manufacturing challenges. Veiga's most impactful contribution, "Advances in Robotic Welding for Metallic Materials" (2023, 22 citations), provides a comprehensive survey of inspection, modeling, monitoring, and automation techniques in robotic welding — establishing an authoritative reference for researchers and engineers alike. Building on this foundation, he has developed intelligent and adaptive systems for automating welding processes in complex joint configurations, including T-shaped joints and multi-pass Butt Double V-Groove geometries, earning multiple citations across 2023–2024. His work on automatic trajectory determination through laser-based weld joint reconstruction represents a particularly innovative contribution to smart manufacturing. More recently, Veiga has expanded into additive manufacturing, investigating the machinability of short carbon fiber-reinforced polyamide parts, addressing emerging challenges in next-generation aerospace production. With a growing citation record and consistently applied research across interconnected manufacturing domains, Veiga is establishing himself as a key voice in intelligent industrial automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Advances in Robotic Welding for Metallic Materials: Application of Inspection, Modeling, Monitoring and Automation Techniques

   22 citations · 2023
2. 2
   Analysis of the machining process of short carbon fiber-reinforced polyamide additive manufactured parts

   8 citations · 2024
3. 3
   Advanced welding automation: Intelligent systems for multipass welding in Butt Double V-Groove and Tee Double Bevel configurations

   6 citations · 2024
4. 4
   Intelligent and Adaptive System for Welding Process Automation in T-Shaped Joints

   5 citations · 2023
5. 5
   Intelligent and adaptive system for welding process automation

   5 citations · 2023
6. 6
   Automatic Trajectory Determination in Automated Robotic Welding Considering Weld Joint Symmetry

   4 citations · 2023

Key Collaborators

Contact & Links