Finite Element Analysis of 3D-Printed Forearm Cast Biomechanics

A biomechanical simulation dataset compares two patient-specific 3D-printed forearm cast designs under six physiological loading conditions. The dataset includes results for a commercial cast and a point-of-care cast simulated with three printing materials, evaluating von Mises stress and fracture displacement. The in silico workflow was developed by Marton Bartos and published in 2026.

Use Cases

• Compare maximum von Mises stress in AA_CAST versus POC_CAST designs across six loading conditions like flexion and radial deviation.
• Analyze the effect of 3D-printing materials (ABS, Resin, Polyamide) on fracture displacement in the POC_CAST simulations.
• Validate the biomechanical performance of orthopedic casts by assessing if fracture displacement remains below the 0.4 mm threshold.

Strengths

• Simulation results for six distinct physiological loading conditions, including 400 N loads and 1 Nm moments.
• Direct comparison of two cast designs (AA_CAST and POC_CAST) with three material variations for the POC_CAST.
• Dataset supports a published in silico workflow for preclinical assessment of orthopedic devices.

Limitations

• Dataset is a 2.5 MB PDF, limiting direct computational analysis of raw simulation data.
• Results are based on a single finite element model of a human forearm, not a large sample of patient anatomies.
• The temporal and geographic scope of the underlying CT data and model parameters is not specified.

Provenance

Source

Marton Bartos on figshare.

Collection Method

Finite element analysis generated from CT data, simulating a forearm with a distal radius and ulna fracture.

Freshness

Last updated in March 2026.