PEER-REVIEWED PUBLICATION

2026

Comparison of Mechanical Properties of Patient-Specific Direct 3D-Printed Aortic Valve for Simulation Trainings: A Comparative Study

Cheheili Sobbi S, Pavlykova-Chertovska A, et al.

Innovations

Maastricht University

RESEARCH SUMMARY
This study evaluated how postprocessing and pigmentation influence the mechanical realism of directly 3D-printed, patient-specific aortic models (including the aortic valve) intended for surgical simulation training. Using a digital light processing (DLP) workflow to fabricate soft-material aortic constructs, the authors prepared test coupons under different postcuring durations (5, 10, 15, and 20 minutes) and compared uncolored samples to pigmented (pink, orange) samples (10-minute postcure). To mimic common simulation-use damage modes, specimens were tested in three conditions per group: intact/unmodified, with a small incision (cutting simulation), and with two suture holes (suturing simulation). Mechanical response was quantified via stress–strain behavior and derived metrics including stiffness/elastic modulus, ultimate tensile strength, strain at failure, flexibility near suture holes, and toughness (area under the curve), with special emphasis on the two-hole condition as most relevant to suturing practice. Results indicated that uncolored samples postcured for 15 minutes provided the most favorable balance between flexibility, stiffness, and toughness for simulation training, while colored samples tended to show increased stiffness and reduced tensile strength and toughness versus uncolored counterparts. The authors also note practical testing limitations (e.g., grip slippage and incision-size variability) that can under-report absolute maxima, underscoring the importance of standardized handling and grip design for soft printed materials used in simulation models.

CELLSCALE INSTRUMENT USED

BioTester

Uniaxial tensile testing of the 3D-printed soft-material aortic model samples was performed using a CellScale BioTester 5000 uniaxial test system to quantify stiffness, strength, flexibility, and toughness under simulation-relevant conditions. Printed aortic models were sectioned into standardized dog-bone specimens with consistent thickness and cut location. To enable optical strain measurement, specimens were speckled using matte black quick-drying spray paint applied through a mesh screen and dried briefly before testing. Samples were clamped in the BioTester and preloaded with a small prestretch (0.05 N) to remove slack prior to data collection. Specimens were then stretched horizontally at a controlled rate while force and deformation were continuously recorded; deformation in the central gauge region was tracked using image-based analysis from a high-speed camera positioned above the system (30 fps). BioTester force output and image-tracked deformation were used to construct stress–strain curves in MATLAB, from which elastic modulus/stiffness, ultimate tensile strength, strain-to-failure, and toughness (area under curve) were computed. The BioTester datasets were the study’s primary quantitative basis for selecting postcuring and pigmentation conditions that best replicate the compliance and durability needs of patient-specific aortic models for suturing/cutting simulation.
AUTHORS

Shokoufeh Cheheili Sobbi, Anastasiia Pavlykova-Chertovska, Silke Dreesen, Jos Maesen, Peyman Sardari Nia.

PUBLICATION DETAILS
JOURNAL

Innovations

YEAR

2026

INSTITUTIONS

Maastricht University

COUNTRIES

Netherlands

INSTRUMENT USED

BioTester

TESTING METHODS

Digital Image Correlation (DIC)Tensile Testing

RESEARCH APPLICATIONS

Cardiac Tissue Engineering & MechanicsHeart Valve Tissue Engineering & MechanicsPolymers and Elastomers Testing

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