Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts
| Autor: | Yingguang Li, Xu Liu, Mengyuan Yang, Ke Xu, Paul Maropoulos, James Gao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
QA75
0209 industrial biotechnology Bending (metalworking) business.industry Computer science Mechanical Engineering Automotive industry 3D printing Mechanical engineering 02 engineering and technology Grayscale Industrial and Manufacturing Engineering Field (computer science) Stress (mechanics) 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Digital image processing business Aerospace |
| ISSN: | 0007-8506 |
| Popis: | Fibre reinforced filament fabrication is a potential additive manufacturing method for certain load-bearing parts in aerospace and automotive products. In current practice, printing paths are planned from part geometry without considering loading conditions. This paper presents a new method for optimizing printing paths to align with the principal stress field of parts in use. Because of the powerful processing capabilities, for the first time grayscale image was adopted to represent the irregular vector field, which can be robustly processed into sub-regions for generating regular printing paths. Preliminary bending test achieved promising increase in tensile strength compared with conventional methods. |
| Databáze: | OpenAIRE |
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