Marcel Graf

Chemnitz University of Technology

Papers

3

Total Citations

54

H-Index

3

About

Marcel Graf is a materials and manufacturing engineer whose research sits at the intersection of advanced manufacturing processes, computational modeling, and structural analysis. His work focuses primarily on Wire Arc Additive Manufacturing (WAAM) and finite element method (FEM) simulation, areas in which he has made meaningful contributions to the field's understanding of process-induced distortion and material behavior. Graf's most influential work, accumulating 28 citations, introduced a systematic bead modeling methodology for predicting thermomechanical distortion in WAAM processes — a critical challenge as the industry seeks greater dimensional accuracy in metal additive manufacturing. Building on this foundation, his subsequent research (15 citations) experimentally validated computational predictions of substrate deformation and plastic strain in hollow thin-walled WAAM structures, strengthening the reliability of simulation-based design approaches for complex geometries using stainless steel alloys. Beyond additive manufacturing, Graf has extended his simulation expertise to traditional manufacturing process chains, including forming and welding operations for tube manufacturing, demonstrating a broad command of metal processing and structural mechanics. With a combined citation record reflecting growing recognition across the research community, Graf represents an emerging voice bridging experimental validation and high-fidelity computational modeling in modern manufacturing engineering.

Research Focus

Key Achievements

3
H-Index
3
Papers
54
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Development of Bead Modelling for Distortion Analysis Induced by Wire Arc Additive Manufacturing using FEM and Experiment
28 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Chemnitz University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago