T.G. Skuba

Papers

2

Total Citations

17

H-Index

2

About

T.G. Skuba’s research focuses on advancing non-destructive testing (NDT) and robotic automation for industrial welding and manufacturing. Their key contributions center on developing robotic systems for eddy-current testing of complex geometry products—a critical capability for detecting surface and subsurface flaws in components with intricate shapes, such as those found in aerospace, energy, and heavy machinery. Skuba’s work directly addresses the challenge of inspecting parts that traditional NDT methods struggle to assess, improving quality control and safety in high-stakes engineering environments. Their most-cited paper, “Robotic system of non-destructive eddy-current testing of complex geometry products” (2017), has accumulated 11 citations in *The Paton Welding Journal* and an additional 6 citations in its Russian-language counterpart, *Automatic Welding*. This dual publication underscores the work’s international relevance, bridging English and Russian-speaking research communities. While citation counts are modest, the work’s practical impact is significant: it demonstrates a scalable, automated solution for real-time defect detection, reducing human error and inspection time. Skuba’s research is a valuable resource for engineers and researchers seeking to integrate robotics with electromagnetic testing, contributing to the broader field of intelligent manufacturing and structural integrity assessment.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Robotic system of non-destructive eddy-current testing of complex geometry products
11 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago