Investigation of printing turn angle effects on structural deformation and stress in selective laser melting

Additive manufacturing (AM) technology facilitates the creation of complex structures, where the printing path significantly impacts thermal distribution, subsequently influencing stress distribution and structural deformation. The primary challenge in path planning is to determine a printing turn angle that ensures uniform thermal distribution, thereby minimizing structural deformation while maintaining printing efficiency. To address this issue, we propose a composite function, which comprehensively characterizes the effects of the printing turn angle and the length of the printing path on the printing results. Combining a specific cubic porous structure, we calculate the maximum (P max ) and minimum (P min ) values of the composite function P, and compare the structural deformation and stress of the P max and P min paths with those of the typical P zigzag path. Finite element method (FEM) simulation and experimental validation show that the P max path achieves significantly lower structural deformation and residual stress compared to the P zigzag path and P min path. • Investigated the relationship between printing turn angle, thermal distribution, structural deformation, and stress. • Proposed a composite function to represent the impact of printing turn angle and path length on printing results. • Guided the design of a reward function for machine learning based on recommended printing turn angles. • Validated the effectiveness of the proposed method through FEM simulation and experimental results.

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Publication Details

Journal
Materials & Design
Published
2024-10-17
DOI
https://doi.org/10.1016/j.matdes.2024.113347
Citations
9
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
1.91

Funders

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article

Investigation of printing turn angle effects on structural deformation and stress in selective laser melting

Yangkun Du, Jun Luo, Jingzhe Wang, Huayan Pu et al.
9 citations
Materials & Design
Additive Manufacturing Materials and Processes
1.91
article

Investigation of printing turn angle effects on structural deformation and stress in selective laser melting

Yangkun Du, Jun Luo, Jingzhe Wang, Huayan Pu, Daniel Coutellier, Hakim Naceur, Ruqing Bai, Wenhan Lyu, Shengbo Shi, Li Wang
article en
9 citations

Abstract

Additive manufacturing (AM) technology facilitates the creation of complex structures, where the printing path significantly impacts thermal distribution, subsequently influencing stress distribution and structural deformation. The primary challenge in path planning is to determine a printing turn angle that ensures uniform thermal distribution, thereby minimizing structural deformation while maintaining printing efficiency. To address this issue, we propose a composite function, which comprehensively characterizes the effects of the printing turn angle and the length of the printing path on the printing results. Combining a specific cubic porous structure, we calculate the maximum (P max ) and minimum (P min ) values of the composite function P, and compare the structural deformation and stress of the P max and P min paths with those of the typical P zigzag path. Finite element method (FEM) simulation and experimental validation show that the P max path achieves significantly lower structural deformation and residual stress compared to the P zigzag path and P min path. • Investigated the relationship between printing turn angle, thermal distribution, structural deformation, and stress. • Proposed a composite function to represent the impact of printing turn angle and path length on printing results. • Guided the design of a reward function for machine learning based on recommended printing turn angles. • Validated the effectiveness of the proposed method through FEM simulation and experimental results.

Materials & DesignVol. 247
Centre National de la Recherche Scientifique (FR), Chongqing University (CN), University of Trento (IT), Chengdu Medical College (CN), Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines (FR), Beijing University of Civil Engineering and Architecture (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 15%
Additive Manufacturing Materials and Processes
1.91
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