Clément Le Falher optimizes MAG-CMT additive manufacturing to improve the quality of metal parts in Benin

Clément Le Falher, a researcher at the Institute of Chemistry - CNRS, has developed numerical models to optimize MAG-CMT additive manufacturing in Benin. This advancement allows for better control of plastic deformations and residual stresses, thus providing solutions to improve the quality of metal parts while reducing production costs.

Additive manufacturing, particularly through the MAG-CMT process, represents a significant advancement in the production of metal parts. However, mastering plastic deformations and residual stresses remains a major challenge. Clément Le Falher's thesis proposes predictive numerical models to better understand these complex phenomena, thus addressing growing economic and environmental issues.

By developing digital tools capable of predicting the effects of thermal gradients on manufactured parts, Le Falher paves the way for improved industrial practices. Two modeling methodologies have been implemented, allowing for simplified calculations while taking into account hydrodynamic effects, which constitutes an advancement in the field.

The implications of this research are strategic for decision-makers and industrialists. By optimizing additive manufacturing processes, it is possible to reduce costs and improve the quality of metal parts. Investors should support projects integrating these numerical models to capitalize on the growing trend in the additive manufacturing market.

« « Thanks to my numerical models, we can better predict the deformations and stresses in metal parts, which is essential to ensure their structural integrity. » »

« « Access to this new knowledge will enable decision-makers to improve industrial practices and support innovation in additive manufacturing. » »