| dc.contributor.author | Lu, Y | |
| dc.contributor.author | Zhu, H | |
| dc.contributor.author | Zaman, AM | |
| dc.contributor.author | Lin, H | |
| dc.contributor.author | Deglinnocenti, R | |
| dc.contributor.author | Tian, Y | |
| dc.date.accessioned | 2024-05-31T14:07:38Z | |
| dc.date.available | 2024-05-31T14:07:38Z | |
| dc.date.issued | 2022-01-01 | |
| dc.identifier.issn | 2162-2027 | |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/97163 | |
| dc.description.abstract | The ultra-rough surface of the 3D-printed metal produced by laser powder bed fusion technique is one of the major challenges faced in commercializing 3D-printed metallic components in a wider context. The electrochemical polishing method is currently considered a promising method to overcome this obstacle. However, evaluating the average roughness of a 3D printed surface before and after polishing with the current state-of-The-Art laser scanning microscopy suffers incomplete datasets due to highly scattered signals. Here we successfully evaluate the rms roughness of the metallic surfaces with different roughness levels using terahertz time-domain spectroscopy (THz-TDS) for comparison against roughness values acquired using a commercial laser scanning microscope. | en_US |
| dc.publisher | IEEE | en_US |
| dc.title | Surface Roughness Measurement of 3D-Printed 316L Stainless Steel Surface using Terahertz Time-Domain Spectroscopy | en_US |
| dc.type | Conference Proceeding | en_US |
| dc.rights.holder | © 2022 IEEE. | |
| dc.identifier.doi | 10.1109/IRMMW-THz50927.2022.9920607 | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 2022-January | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
