Sawtooth scanning strategy for additive manufacturing

Purpose This study aims to improve the acceleration in the additive manufacturing (AM) process. AM tools, such as extrusion heads, jets, electric arcs, lasers and electron beams (EB), experience negligible forces. However, their speeds are limited by the positioning systems. In addition, a thin tool must travel several kilometers in tiny motions with several turns while realizing the AM part. Hence, acceleration is a more significant limiting factor than the velocity or precision for all except EB. Design/methodology/approach The sawtooth (ST) scanning strategy presented in this paper minimizes the time by combining three motion features: zigzag scan, 45º or 135º rotation for successive layers in G00 to avoid the CNC interpolation, and modifying these movements along 45º or 135º into sawtooth to halve the turns. Findings Sawtooth effectiveness is tested using an in-house developed Sand AM (SaAM) apparatus based on the laser–powder bed fusion AM technique. For a simple rectangle layer, the sawtooth achieved a path length reduction of 0.19%–1.49% and reduced the overall time by 3.508–4.889 times, proving that sawtooth uses increased acceleration more effectively than the other three scans. The complex layer study reduced calculated time by 69.80%–139.96% and manufacturing time by 47.35%–86.85%. Sawtooth samples also exhibited less dimensional variation (0.88%) than zigzag 45° (12.94%) along the build direction. Research limitations/implications Sawtooth is limited to flying optics AM process. Originality/value Development of scanning strategy for flying optics AM process to reduce the warpage by improving the acceleration.

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Publication Details

Journal
Rapid Prototyping Journal
Published
2024-08-05
DOI
https://doi.org/10.1108/rpj-11-2023-0390
Citations
4
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.85
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article

Sawtooth scanning strategy for additive manufacturing

Milind Akarte, Avinash Kumar Mehta, Yash Gopal Mittal, Yogesh P. Patil et al.
4 citations
Rapid Prototyping Journal
Additive Manufacturing Materials and Processes
0.85
article

Sawtooth scanning strategy for additive manufacturing

Milind Akarte, Avinash Kumar Mehta, Yash Gopal Mittal, Yogesh P. Patil, Gopal Gote, Ashik Kumar Patel, K. P. Karunakaran, Sahil Devendra Singh
article en
4 citations

Abstract

Purpose This study aims to improve the acceleration in the additive manufacturing (AM) process. AM tools, such as extrusion heads, jets, electric arcs, lasers and electron beams (EB), experience negligible forces. However, their speeds are limited by the positioning systems. In addition, a thin tool must travel several kilometers in tiny motions with several turns while realizing the AM part. Hence, acceleration is a more significant limiting factor than the velocity or precision for all except EB. Design/methodology/approach The sawtooth (ST) scanning strategy presented in this paper minimizes the time by combining three motion features: zigzag scan, 45º or 135º rotation for successive layers in G00 to avoid the CNC interpolation, and modifying these movements along 45º or 135º into sawtooth to halve the turns. Findings Sawtooth effectiveness is tested using an in-house developed Sand AM (SaAM) apparatus based on the laser–powder bed fusion AM technique. For a simple rectangle layer, the sawtooth achieved a path length reduction of 0.19%–1.49% and reduced the overall time by 3.508–4.889 times, proving that sawtooth uses increased acceleration more effectively than the other three scans. The complex layer study reduced calculated time by 69.80%–139.96% and manufacturing time by 47.35%–86.85%. Sawtooth samples also exhibited less dimensional variation (0.88%) than zigzag 45° (12.94%) along the build direction. Research limitations/implications Sawtooth is limited to flying optics AM process. Originality/value Development of scanning strategy for flying optics AM process to reduce the warpage by improving the acceleration.

Rapid Prototyping JournalVol. 30(8)
Indian Institute of Technology Bombay (IN)
Affordable and clean energy
Openalex Percentile: Top 31%
Additive Manufacturing Materials and Processes
0.85
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