Olivier Cahuc

Centre National de la Recherche Scientifique

Papers

1

Total Citations

2

H-Index

1

About

Olivier Cahuc is a leading researcher in the field of advanced manufacturing processes, with a primary focus on friction stir welding (FSW) and thermal modeling. His most-cited work, "Power-based Model for Temperature Prediction in FSW" (2022), introduces a groundbreaking thermal numerical model that makes temperature prediction accessible to all users by relying solely on power, material properties, and process parameters. This contribution is pivotal for optimizing weld quality and process efficiency, offering a practical tool that bridges the gap between complex simulations and real-world application. With 2 citations, this work underscores his ability to translate theoretical insights into actionable engineering solutions. Cahuc’s research is distinguished by its emphasis on democratizing advanced modeling techniques, enabling broader adoption in industry and academia. His achievements reflect a commitment to simplifying intricate thermal dynamics, making him a key figure in the evolution of FSW technology. For students and researchers, Cahuc’s work exemplifies how accessible models can drive innovation in manufacturing, offering a clear pathway from fundamental science to tangible impact.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Power-based Model for Temperature Prediction in FSW
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Centre National de la Recherche Scientifique

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago