| Autor: |
Ankur K. Agrawal, Dan J. Thoma |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Additive Manufacturing Letters, Vol 3, Iss , Pp 100093- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2772-3690 |
| DOI: |
10.1016/j.addlet.2022.100093 |
| Popis: |
In the present study, a high throughput (HT) methodology is applied to rapidly assess the surface characteristics of 83 additively manufactured 316L stainless steel. The variation in surface roughness (Sa) showed a good correlation with a dimensionless number (π) and provided direct linkages to the internal porosity defects. Lack-of-fusion regime relates to high surface roughness (Sa > 5 µm), low dimensionless number (π < 61), and the presence of cavities in between the melt pool tracks. Balling regime correlates to high surface roughness (Sa > 5 µm), intermediate dimensionless number (61 146), and a curved melt pool track. This approach accelerates the process parameter discovery and minimizes the porosity defects for the LPBF process. The impact of the defects on the as-processed tensile mechanical properties demonstrates that samples with porosity exhibit up to 10% less tensile strength and 30% less ductility than optimal samples. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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