C Garnier

Laboratoire Génie de Production

Papers

1

Total Citations

2

H-Index

1

About

C. Garnier is a researcher focused on advancing the thermal modeling of friction stir welding (FSW), with a particular emphasis on making predictive tools accessible to a broad range of users. Their key contribution lies in developing a power-based thermal numerical model that predicts temperature evolution during FSW using readily available inputs such as machine power, material thermal properties, tool geometry, and process parameters. This work, detailed in their 2022 paper "Power-based Model for Temperature Prediction in FSW," has garnered 2 citations, reflecting its practical utility in bridging the gap between complex simulation and real-world application. By prioritizing usability without sacrificing accuracy, Garnier’s model enables engineers and researchers to optimize welding parameters efficiently, reducing reliance on costly experimental trials. Their approach stands out for its simplicity and transparency, offering a valuable tool for both novices and experts in the field. Garnier’s ongoing efforts continue to support the democratization of FSW process design, contributing to more sustainable and efficient manufacturing practices.

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: Laboratoire Génie de Production

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago