Maxime Chalvin

About

Maxime Chalvin is a leading researcher in the field of multi-axis robotized additive manufacturing, with a focus on advancing deposition path planning and tool orientation strategies. His work primarily addresses the critical challenges of producing large, complex, and near-shape metal parts using technologies like Wire & Arc Additive Manufacturing (WAAM) and Fused Filament Fabrication (FFF). Chalvin’s major contributions include the development of a layer-by-layer method for generating optimized joint trajectories for parts of revolution, a framework for future CAM software tailored to multi-axis deposition, and automatic path planning for thinwall tubing. He has also pioneered techniques for orientation smoothing to handle large curvature gradients, significantly improving surface quality and process reliability. With over 69 citations across his key publications, Chalvin’s research is highly regarded for bridging the gap between robotic capabilities and practical industrial applications. His work is essential reading for students and researchers interested in the future of large-scale, multi-axis additive manufacturing and intelligent CAM solutions.

Research Focus

Key Achievements

Top Papers

1. 1
   Layer-by-layer generation of optimized joint trajectory for multi-axis robotized additive manufacturing of parts of revolution

   35 citations · 2020
2. 2
   A framework for future CAM software dedicated to additive manufacturing by multi-axis deposition

   13 citations · 2018
3. 3
   Automatic multi-axis path planning for thinwall tubing through robotized wire deposition

   13 citations · 2019
4. 4
   Orientation smoothing in multi-axis additive manufacturing

   8 citations · 2022

Key Collaborators

Contact & Links