Nuno Mineiro

Papers

3

Total Citations

13

H-Index

3

About

Nuno Mineiro is a researcher specializing in robotized welding processes, manufacturing automation, and the optimization of welding parameters for aluminum alloys — areas of critical importance to the modern transport and industrial manufacturing sectors. His work focuses on advancing the precision and efficiency of Metal Inert Gas (MIG) and Cold Metal Transfer (CMT) welding techniques applied to aluminum alloys, particularly the widely used 6082-T6 grade. Mineiro's most notable contribution involves the application of the Taguchi method to optimize robotic welding parameters, employing L27 orthogonal arrays to systematically evaluate 27 distinct welding configurations under pulsed spray transfer modes. This methodological rigor has earned his 2018 study seven citations, making it his most impactful work to date. Complementing this, his comparative investigations of MIG Standard and CMT+P processes have provided valuable insights into weld penetration depth, cord width, and reinforcement geometry — practical metrics essential for quality assurance in industrial production. His 2020 publication further extends this research into full welding process automation for the transport industry, demonstrating how robotic systems can be strategically integrated into manufacturing workflows. With a growing body of cited work, Mineiro represents an emerging voice in advanced manufacturing research with direct industrial applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Optimization of Robotized Welding in Aluminum Alloys with Pulsed Transfer Mode Using the Taguchi Method
7 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 6

Top Papers

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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
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