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Surface roughness and dimension accuracy data from hybrid manufacturing process using PLA material.

Benny Susanto1, Muhammad Ibnu Rashyid2, Fefria Tanbar1

  • 1PLN Research Institute, Jakarta, Indonesia.

Data in Brief
|May 17, 2024
PubMed
Summary

This study presents a dataset on hybrid manufacturing of PLA, showing significant improvements in surface roughness and dimensional accuracy after a combined printing and milling process. The findings benefit researchers in additive manufacturing.

Keywords:
3D printingHybrid manufacturingSurface roughness, Dimension accuracy

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Area of Science:

  • Materials Science & Engineering
  • Additive Manufacturing
  • Surface Metrology

Background:

  • Hybrid manufacturing, combining additive and subtractive processes, offers potential for enhanced component quality.
  • Optimizing surface roughness and dimensional accuracy is critical for functional 3D printed parts, especially with materials like Polylactic Acid (PLA).
  • Existing datasets often lack comprehensive data on the integrated effects of printing and in-situ machining.

Purpose of the Study:

  • To introduce a comprehensive dataset on surface roughness and dimensional accuracy of 3D printed PLA specimens.
  • To evaluate the impact of a hybrid manufacturing process (3D printing followed by milling) on specimen quality.
  • To provide a benchmark for future research in hybrid additive manufacturing of PLA.

Main Methods:

  • Specimens with varied surface orientations (0°, 45°, 90°) and geometric features (cylindrical, radial, pocket) were designed and 3D printed using PLA.
  • A hybrid approach was employed, involving in-situ milling on the same machine post-printing.
  • Surface roughness was measured using a surface roughness tester, and dimensional accuracy was assessed with a digital vernier caliper.

Main Results:

  • The hybrid manufacturing process significantly improved both surface roughness and dimensional accuracy compared to baseline 3D printed specimens.
  • Comparative analysis revealed quantifiable enhancements across different surface angles and geometric features.
  • The dataset includes pre- and post-processing measurements, demonstrating the efficacy of the integrated approach.

Conclusions:

  • Hybrid manufacturing is an effective strategy for enhancing the surface quality and dimensional precision of 3D printed PLA components.
  • The presented dataset serves as a valuable resource for understanding and advancing hybrid manufacturing techniques.
  • Further research can leverage this data to explore process optimization and material characterization in additive and subtractive manufacturing.