APPLICATION OF THE TAGUCHI METHOD FOR OPTIMIZING THE 3D PRINTING PROCESS FROM THE ASPECTS OF PRODUCTIVITY AND DIMENSIONAL ACCURACY

This study uses the Taguchi method to optimize 3D printing conditions and identify key factors influencing fabrication time and dimensional accuracy. Three input parameters—printing speed, layer height, and infill percentage—were tested at three levels using Minitab software to analyze results via Analysis of Variance (ANOVA). 3D models were designed in CAD software, exported in STL format, and processed with software for 3D printing on a 3D printer using FDM technology. Dimensional accuracy was verified with a 3D scanner. Results showed that layer height significantly affected print time, with larger heights reducing it due to fewer layers. Infill percentage also influenced print time, with lower percentages speeding up fabrication. Although printing speed mattered, it wasn't statistically significant. This research offers valuable insights for optimizing 3D printing parameters, enhancing quality and efficiency in part production.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.24867/future-bme-2024-095
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
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article

APPLICATION OF THE TAGUCHI METHOD FOR OPTIMIZING THE 3D PRINTING PROCESS FROM THE ASPECTS OF PRODUCTIVITY AND DIMENSIONAL ACCURACY

Mijodrag Milošević, Dejan Božić, Borislav Savković, Stevo Borojević et al.
Additive Manufacturing and 3D Printing Technologies
article

APPLICATION OF THE TAGUCHI METHOD FOR OPTIMIZING THE 3D PRINTING PROCESS FROM THE ASPECTS OF PRODUCTIVITY AND DIMENSIONAL ACCURACY

Mijodrag Milošević, Dejan Božić, Borislav Savković, Stevo Borojević, Željko Santoši, Dejan Lukić
article en

Abstract

This study uses the Taguchi method to optimize 3D printing conditions and identify key factors influencing fabrication time and dimensional accuracy. Three input parameters—printing speed, layer height, and infill percentage—were tested at three levels using Minitab software to analyze results via Analysis of Variance (ANOVA). 3D models were designed in CAD software, exported in STL format, and processed with software for 3D printing on a 3D printer using FDM technology. Dimensional accuracy was verified with a 3D scanner. Results showed that layer height significantly affected print time, with larger heights reducing it due to fewer layers. Infill percentage also influenced print time, with lower percentages speeding up fabrication. Although printing speed mattered, it wasn't statistically significant. This research offers valuable insights for optimizing 3D printing parameters, enhancing quality and efficiency in part production.

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Additive Manufacturing and 3D Printing Technologies
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