The need to guarantee accuracy and reliability of 3D printed parts becomes fundamental in applications of demanding areas, such as engineering, manufacturing, and healthcare. This research work presents a methodology which establishes the validity of 3D printed parts with respect to their original digital models. The methodology begins with the assessment of the positioning precision of the 3D printing axes by monitoring the nozzle motion of the 3D printer using a Laser Tracker (Faro Vantage). Standard calibration 3D models are then printed and scanned, producing a dense, high-resolution point cloud using a non—contact Laser Line Probe (Faro LLP). The resulting scan is then compared against the original STL 3D model quantifying deviations in surface geometry and feature dimensions. A case study implementing a widely used 3D printer (Prusa MINI+) presents a more systematic approach to quality assurance in additive manufacturing through an effort to distinguish the effect of the precision in the positioning of the 3D printing axes from that of the 3D printing material diffusion depending on the filament type (PLA and ASA). The suggested methodology underlines the importance of integrating high accuracy instruments into 3D printing workflows, enabling iterative improvements and setting a benchmark for industrial-quality validation.

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A Comprehensive Framework for Quality Control of 3D-Printed Parts

  • Thanassis Mpimis,
  • Konstantinos Nikolitsas,
  • George Piniotis

摘要

The need to guarantee accuracy and reliability of 3D printed parts becomes fundamental in applications of demanding areas, such as engineering, manufacturing, and healthcare. This research work presents a methodology which establishes the validity of 3D printed parts with respect to their original digital models. The methodology begins with the assessment of the positioning precision of the 3D printing axes by monitoring the nozzle motion of the 3D printer using a Laser Tracker (Faro Vantage). Standard calibration 3D models are then printed and scanned, producing a dense, high-resolution point cloud using a non—contact Laser Line Probe (Faro LLP). The resulting scan is then compared against the original STL 3D model quantifying deviations in surface geometry and feature dimensions. A case study implementing a widely used 3D printer (Prusa MINI+) presents a more systematic approach to quality assurance in additive manufacturing through an effort to distinguish the effect of the precision in the positioning of the 3D printing axes from that of the 3D printing material diffusion depending on the filament type (PLA and ASA). The suggested methodology underlines the importance of integrating high accuracy instruments into 3D printing workflows, enabling iterative improvements and setting a benchmark for industrial-quality validation.