Klas Ericson

Papers

Total Citations

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About

Klas Ericson is a researcher whose work lies at the intersection of welding process monitoring and parametric modeling. His most-cited paper, "Automatic Detection of Burn-Through in GMA Welding Using a Parametric Model" (1996), has garnered 13 citations and represents a significant contribution to the field of automated welding quality control. In this work, Ericson developed a parametric model capable of detecting burn-through defects in real time during gas metal arc (GMA) welding, a critical advancement for industries relying on automated welding processes. By integrating signal processing with welding physics, his approach enables early detection of defects that could compromise structural integrity, thereby improving both safety and efficiency in manufacturing. While his citation count reflects a focused, specialized impact, Ericson’s research is foundational for engineers developing intelligent welding systems. His work demonstrates how parametric modeling can transform traditional manufacturing processes, offering a data-driven path to higher precision and reliability. For students and researchers in welding engineering or process monitoring, Ericson’s contributions provide a clear example of how theoretical models can solve practical industrial challenges.