Automated Author ProfileSong, Hanlin
Song, Hanlin
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: 3.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Advancements in additive manufacturing have significantly enhanced the designability of lattice structures for superior compression resistance. Inspired by the sac-like morphology of alveolar tissues, an alveolar biomimetic interlaced hollow lattice metastructure with superimposed double pipes is proposed. This metastructure features customizable geometric parameters, offering strong designability, unique compression deformation behavior, and distinct mechanical responses. Specimens with different geometric dimensions are fabricated from Inconel 718 by selective laser melting. Detailed surface morphology evaluations using scanning electron microscopy and X-ray scanning reveal high-fidelity manufacturing outcomes. A novel refined finite element model, based on X-ray data, accurately predicts the mechanical behavior of millimeter-scale lattice structures, validated through rigorous experiments. Compressive performance of the metastructures under different size parameters is investigated using both experimental testing and finite element simulations, revealing that the 45° metastructure exhibits the highest energy absorption efficiency of 90%. The enhancement of self-supporting effect is significant, especially the 30° double-cell structure energy absorption capacity is increased by 51% compared to single-cell case. Additionally, gradient metastructures are designed and tested, demonstrating effective suppression of shear band formation and increasing energy absorption capacity up to 26.29%. The proposed hollow lattice metastructure holds great potential for load bearing and energy absorption applications.Keywords: Lattice metastructures; Alveolar biomimetic design; Refined finite element model; Compressive behavior; Energy absorption
Authors
- Han, bin ;
- Song, Hanlin
Advancements in additive manufacturing have significantly enhanced the designability of lattice structures for superior compression resistance. Inspired by the sac-like morphology of alveolar tissues, an alveolar biomimetic interlaced hollow lattice metastructure with superimposed double pipes is proposed. This metastructure features customizable geometric parameters, offering strong designability, unique compression deformation behavior, and distinct mechanical responses. Specimens with different geometric dimensions are fabricated from Inconel 718 by selective laser melting. Detailed surface morphology evaluations using scanning electron microscopy and X-ray scanning reveal high-fidelity manufacturing outcomes. A novel refined finite element model, based on X-ray data, accurately predicts the mechanical behavior of millimeter-scale lattice structures, validated through rigorous experiments. Compressive performance of the metastructures under different size parameters is investigated using both experimental testing and finite element simulations, revealing that the 45° metastructure exhibits the highest energy absorption efficiency of 90%. The enhancement of self-supporting effect is significant, especially the 30° double-cell structure energy absorption capacity is increased by 51% compared to single-cell case. Additionally, gradient metastructures are designed and tested, demonstrating effective suppression of shear band formation and increasing energy absorption capacity up to 26.29%. The proposed hollow lattice metastructure holds great potential for load bearing and energy absorption applications.Keywords: Lattice metastructures; Alveolar biomimetic design; Refined finite element model; Compressive behavior; Energy absorption
Authors
- Han, bin ;
- Song, Hanlin