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Island scanning pattern optimization for residual deformation mitigation in laser powder bed fusion via sequential inherent strain method and sensitivity analysis
- Source :
- Additive Manufacturing. 46:102116
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Laser powder bed fusion (L-PBF) has emerged as one of the mainstream additive manufacturing approaches for fabricating metal parts with complex geometries and intricate internal structures. However, large deformation associated with rapid heating and cooling can lead to build failure and requires post-processing which may increase manufacturing cost and prolong the production period. In this work, an island scanning pattern design method is proposed to optimize the scanning direction of each island in order to reduce part deformation after cutting off the build platform. The objective of this optimization is to minimize the upward bending of the part after sectioning, which allows the part deformation to satisfy the tolerance requirement or reduce the post heat treatment time. Inherent strain method is employed in the sequential finite element analysis consisting of layer-by-layer activations and sectioning for fast residual distortion prediction. Full sequential sensitivity analysis for the formulated optimization is provided to update the island scanning directions. To show the feasibility and effectiveness of the proposed method, the scanning patterns of a block structure and a connecting rod were designed and parts were fabricated using an open architecture L-PBF machine. The fabrication experiments demonstrated that the residual deformation of both parts fabricated by optimized scanning pattern can be reduced by over 50% compared to the initial scanning patterns, which demonstrate the effectiveness of the proposed method.
- Subjects :
- 0209 industrial biotechnology
Materials science
Bending (metalworking)
Biomedical Engineering
Mechanical engineering
02 engineering and technology
Deformation (meteorology)
021001 nanoscience & nanotechnology
Residual
Industrial and Manufacturing Engineering
Manufacturing cost
Finite element method
020901 industrial engineering & automation
Distortion
General Materials Science
Sensitivity (control systems)
Connecting rod
0210 nano-technology
Engineering (miscellaneous)
Subjects
Details
- ISSN :
- 22148604
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- Additive Manufacturing
- Accession number :
- edsair.doi...........876c307fc1694d37d2c8320be577c1e1
- Full Text :
- https://doi.org/10.1016/j.addma.2021.102116