Martin Edgren
Papers
1
Total Citations
28
H-Index
1
About
Martin Edgren is a researcher specializing in manufacturing engineering, with a particular focus on the probabilistic modeling of welding processes. His work addresses critical challenges in automated welding, specifically the inherent variability in weld penetration depth during robotized metal active gas (MAG) welding. Edgren’s major contribution lies in developing an analytical probabilistic model that predicts penetration depth by accounting for uncontrollable uncertainties in process parameters, offering a robust framework for improving weld quality and reliability in industrial applications. His most-cited paper, "A probabilistic model of weld penetration depth based on process parameters" (2019), has garnered 28 citations, underscoring its relevance to both academic research and practical manufacturing. This work is notable for bridging the gap between theoretical probability theory and real-world welding variability, providing engineers with tools to anticipate and mitigate defects. Edgren’s research is particularly valuable for students and professionals in welding engineering, robotics, and quality control, as it advances the understanding of stochastic effects in automated production systems.
Research Focus
Key Achievements
Top Papers
- 1A probabilistic model of weld penetration depth based on process parameters28 citations · 2019