Experimental Roughness Results for 3D Printed Vase and Ship Models

Experimental results compare surface roughness from three different slicing algorithms applied to 3D printed models, including a vase, a ship, and dice. The data, approximately 5.5 KB in an XLS file, was published by Xingguo Han in April 2026. It supports research into optimizing fused deposition additive manufacturing processes.

Use Cases

• Compare surface roughness measurements between equal-thickness, normal vector-based adaptive, and contour-based adaptive slicing algorithms.
• Analyze the relationship between model type (e.g., vase, ship, dice) and resulting print roughness for a given slicing method.
• Validate the proposed contour-based adaptive algorithm's claim of balancing printing accuracy and efficiency against experimental roughness data.

Strengths

• Direct experimental measurements from a physical six-DOF additive manufacturing device and a roughness meter.
• Comparative data for three distinct slicing algorithms on multiple model types.

Limitations

• Very small dataset at 5.5 KB, indicating a limited number of experimental trials or measurements.
• Specific numerical results, row counts, and column details are not provided in the metadata.

Provenance

Source

Xingguo Han via figshare.

Collection Method

Experimental results from 3D printing tests using a six-degree-of-freedom additive manufacturing device, with surface roughness measured by a roughness meter.

Freshness

Dataset was last updated in April 2026.