Automated Author ProfileRouvinet, Julien
Rouvinet, Julien
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Compliant mechanisms achieve motion through elastic deformation rather than traditional rigid-body joints, eliminating wear, backlash, friction, and the need for lubrication. These advantages make them ideal for high-precision applications and harsh environments. While the design of compliant joints is well-studied, the design of the rigid bodies – connecting the joints and transmitting forces/motions – is often overlooked. Existing approaches such as manual modelling, parametric design, and topology optimisation are inadequate for automation due to their fragmented workflows, limited flexibility, and lack of real-time responsiveness. This paper introduces a computational framework for the design of rigid bodies in compliant mechanisms, considering both functional, non-functional objectives and additive manufacturing constraints. Building on guiding curve-based design approaches, the method enables seamless integration of the rigid bodies' synthesis into a fully automated compliant mechanism design pipeline. The process involves: (1) initialising a curve network to connect interfaces while minimising mass, (2) optimising the network to avoid mechanical interferences, maximise non-functional criteria, and satisfy AM constraints, (3) synthesising 3D tubes with locally tuned cross-sections to eliminate critical overhangs, and (4) generating smooth geometries with integrated non-sacrificial supports to reduce post-processing. The proposed methodology ensures manufacturable, reliable, and high-performance designs, advancing the automation of functional AM-enabled compliant mechanisms.
Authors
- Lang, Guilain ;
- Rouvinet, Julien ;
- Kiener, Lionel ;
- Meboldt, Mirko
Compliant mechanisms achieve motion through elastic deformation rather than traditional rigid-body joints, eliminating wear, backlash, friction, and the need for lubrication. These advantages make them ideal for high-precision applications and harsh environments. While the design of compliant joints is well-studied, the design of the rigid bodies – connecting the joints and transmitting forces/motions – is often overlooked. Existing approaches such as manual modelling, parametric design, and topology optimisation are inadequate for automation due to their fragmented workflows, limited flexibility, and lack of real-time responsiveness. This paper introduces a computational framework for the design of rigid bodies in compliant mechanisms, considering both functional, non-functional objectives and additive manufacturing constraints. Building on guiding curve-based design approaches, the method enables seamless integration of the rigid bodies' synthesis into a fully automated compliant mechanism design pipeline. The process involves: (1) initialising a curve network to connect interfaces while minimising mass, (2) optimising the network to avoid mechanical interferences, maximise non-functional criteria, and satisfy AM constraints, (3) synthesising 3D tubes with locally tuned cross-sections to eliminate critical overhangs, and (4) generating smooth geometries with integrated non-sacrificial supports to reduce post-processing. The proposed methodology ensures manufacturable, reliable, and high-performance designs, advancing the automation of functional AM-enabled compliant mechanisms.
Authors
- Lang, Guilain ;
- Rouvinet, Julien ;
- Kiener, Lionel ;
- Meboldt, Mirko