Look-ahead stress-oriented trajectory planning to improve the strength of fused filament fabricated parts

Fused filament fabrication (FFF) is a promising additive manufacturing method; nevertheless, the mechanical properties of its final products, particularly for end-use applications, still require enhancements. Combining FFF's low cost and well-established technology with enhanced mechanical properties would increase its competitiveness among other additive manufacturing methods. Similar to the well-established subtractive manufacturing methods, the majority of the trajectory planning algorithms developed for FFF, prioritize print time and dimensional accuracy. However, the effect of trajectory planning on the strength of parts produced through FFF has not received adequate attention. This paper proposes a look-ahead trajectory planning algorithm for FFF, which generates an optimized nozzle path to align the print direction with the principal stress direction. This alignment has been proven effective in increasing the tensile properties of the FFF parts. To minimize print defects, especially when printing high-viscosity materials like metals, path intersection elimination, single point elimination, and linear approximation algorithms are applied to the method. The validity of the proposed algorithm was initially tested on more convenient Polylactic Acid (PLA) specimens and was further verified by experimentations on 17–4PH stainless steel specimens.

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Publication Details

Journal
CIRP journal of manufacturing science and technology
Published
2025-06-24
DOI
https://doi.org/10.1016/j.cirpj.2025.06.017
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Look-ahead stress-oriented trajectory planning to improve the strength of fused filament fabricated parts

Dirk Biermann, Ali Hosseini, Hossam A. Kishawy, Jannis Saelzer et al.
CIRP journal of manufacturing science and technology
Additive Manufacturing and 3D Printing Technologies
article

Look-ahead stress-oriented trajectory planning to improve the strength of fused filament fabricated parts

Dirk Biermann, Ali Hosseini, Hossam A. Kishawy, Jannis Saelzer, Mehrdad Sadeghieh
article en

Abstract

Fused filament fabrication (FFF) is a promising additive manufacturing method; nevertheless, the mechanical properties of its final products, particularly for end-use applications, still require enhancements. Combining FFF's low cost and well-established technology with enhanced mechanical properties would increase its competitiveness among other additive manufacturing methods. Similar to the well-established subtractive manufacturing methods, the majority of the trajectory planning algorithms developed for FFF, prioritize print time and dimensional accuracy. However, the effect of trajectory planning on the strength of parts produced through FFF has not received adequate attention. This paper proposes a look-ahead trajectory planning algorithm for FFF, which generates an optimized nozzle path to align the print direction with the principal stress direction. This alignment has been proven effective in increasing the tensile properties of the FFF parts. To minimize print defects, especially when printing high-viscosity materials like metals, path intersection elimination, single point elimination, and linear approximation algorithms are applied to the method. The validity of the proposed algorithm was initially tested on more convenient Polylactic Acid (PLA) specimens and was further verified by experimentations on 17–4PH stainless steel specimens.

CIRP journal of manufacturing science and technologyVol. 61
TU Dortmund University (DE), Ontario Tech University (CA)
Natural Sciences and Engineering Research Council of Canada
Sustainable cities and communities
Openalex Percentile: Top 86%
Additive Manufacturing and 3D Printing Technologies
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Look-ahead stress-oriented trajectory planning to improve the strength of fused filament fabricated parts — Dirk Biermann, Ali Hosseini, et al. · CIRP journal of manufacturing science and technology (2025) | TGRS Research Map | TGRS