Enhancement of Surface Finish on FDM-Printed PCL via Robotic Burnishing for Biomedical Applications: An Indirect Measurement Approach
Open Access
Abstract
The Fused Deposition Modeling (FDM) process often produces parts with high surface roughness, limiting their end-use applications, especially in the biomedical field. This paper presents an experimental study on improving the surface finish of 3D-printed polycaprolactone (PCL) samples using a robotic burnishing process. A key innovation is the development of a low-cost sensorless setup using a 5-DOF manipulator, which controls the applied force by correlating a precise robotic displacement with the known stiffness of springs via Hooke’s law. Ten PCL samples were tested using two burnishing directions: 90° (perpendicular) and 0° (parallel) relative to the printing orientation. The as-printed samples showed a highly anisotropic surface. The 90° trajectory (group 1) proved to be more effective in reducing primary roughness (), lowering the mean from to (a mean reduction of 29.9%). In contrast, the 0° trajectory (group 2) was more effective in reducing roughness , lowering its mean from to (a mean reduction of 34.0%). The results demonstrate that the proposed sensorless system is a valid method for surface post-processing of FDM parts when the required forces fall below a specific threshold, ensuring a significant reduction in roughness without damaging the samples. The lower surface roughness obtained with the proposed post-processing strategy may represent a promising approach for improving the surface characteristics of FDM-fabricated polymer scaffolds intended for biomedical applications.
Keywords
Funding Information
- Centro Nazionale di Ricerca in High-Performance Computing, Big Data and Quantum Computing (CN00000013)
- Centro Nazionale di Ricerca in High-Performance Computing, Big Data and Quantum Computing (CUP H23C22000360005)
- Ageing Well in an Ageing Society (DM 1557 11.10.2022)
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