Guofu Lian
Papers
7
Total Citations
82
H-Index
5
About
Guofu Lian is a researcher specializing in robotic welding and wire and arc additive manufacturing (WAAM), with a particular focus on process modeling, bead geometry prediction, and manufacturing optimization. His most significant contributions lie in advancing the understanding of multi-bead overlapping profiles in WAAM systems, developing innovative recursive modeling approaches that more accurately describe bead formation — including the previously problematic flattened valley regions between beads. His 2022 profile transformation-based recursive model has already garnered 39 citations, establishing him as a notable voice in additive manufacturing geometry prediction. Lian has further extended this work through axisymmetric drop shape analysis for improved dimensional accuracy in robotic WAAM components. Beyond additive manufacturing, he has made meaningful contributions to robotic gas metal arc welding (GMAW), including multi-objective process optimization using Grey Relational Analysis and Taguchi methods, V-shaped weld seam measurement for large workpieces, and tackling the complex challenges of intersecting structural joints common in offshore jacket fabrication. His body of work reflects a strong drive toward automating and optimizing welding processes to replace manual techniques with more consistent, efficient robotic solutions — research increasingly relevant to modern manufacturing and structural engineering industries.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7