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Design and Mechanical Characterization Using Digital Image Correlation of Soft Tissue-Mimicking Polymers
Oliver Grimaldo Ruiz1,2, Mariana Rodriguez Reinoso1,2, Elena Ingrassia1,2
1Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Corso Duca Degli Abruzzi 24. P. C., 10129 Turin, Italy.
Polymers
|July 9, 2022
Summary
This study developed advanced 3D-printed soft tissues using PolyJet technology to mimic tendons and ligaments. Specimen V demonstrated superior mechanical properties, offering a realistic alternative for biomedical models and device testing.
Area of Science:
- Biomedical Engineering
- Materials Science
- Additive Manufacturing
Background:
- Biomedical applications require realistic 3D-printed anatomical models for device evaluation.
- PolyJet technology offers multi-material 3D printing for anatomical models with varying properties.
Purpose of the Study:
- To mechanically characterize multi-material 3D-printed specimens mimicking hierarchical structures of tendons and ligaments.
- To evaluate the influence of pattern type, hardness, and material ratios on mechanical properties.
Main Methods:
- Utilized a Stratasys J750 3D Printer with Agilus30 material at varying hardness levels.
- Conducted uni-axial tensile tests and employed Digital Image Correlation (DIC) for strain quantification.
- Analyzed mechanical properties based on pattern design, hardness combinations, and matrix-to-fiber ratios.
Main Results:
- Identified significant differences in mechanical properties based on pattern type, hardness, and material composition.
- Selected specimens V, J1, A1, and C as optimal for their respective patterns.
- Specimen V exhibited the best overall mechanical balance, with high Modulus of Elasticity (2.21 ± 0.17 MPa), maximum strain (1.86 ± 0.05 mm/mm), and tensile strength (2.11 ± 0.13 MPa).
Conclusions:
- PolyJet technology provides versatile material tailoring for specific anatomical needs.
- The developed 3D-printed soft tissues offer realistic solutions for computational and anatomical models.
- These findings advance the development of accurate bio-mimicking tissues for intermediate evaluation steps in biomedical research.
