Hang Tuah Jaya

Papers

1

Total Citations

3

H-Index

1

About

Hang Tuah Jaya is a researcher specializing in advanced manufacturing and welding process optimization, with a particular focus on robotic arc welding and weld bead geometry. His most cited work, "PREDICTION and MEASUREMENT of WELD DILUTION in ROBOTIC CO2 ARC WELDING" (2013, 3 citations), investigates the critical relationship between welding process parameters and weld dilution—a key factor determining the mechanical and chemical properties of welded joints. By systematically analyzing how parameters control dilution in robotic CO2 arc welding, Jaya provides a predictive framework that enables more precise control over weld quality. This contribution is particularly valuable for industries relying on automated welding systems, where consistent joint integrity is essential. While his citation count remains modest, Jaya's work addresses a fundamental challenge in manufacturing: bridging the gap between theoretical process models and practical robotic applications. His research offers actionable insights for engineers seeking to optimize welding parameters, reduce defects, and enhance the reliability of automated fabrication processes.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
PREDICTION and MEASUREMENT of WELD DILUTION in ROBOTIC CO2 ARC WELDING
3 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago