Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes
Laser powder bed fusion (L-PBF) is widely recognised as a reliable technology for metal additive manufacturing (AM). However, industrial adoption of this technology still requires established methods to ensure its products' quality and optimise its printing parameters, either using in-process m...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Virtual and Physical Prototyping |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17452759.2025.2511118 |
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| author | Allen Hum Jun Wee Qing Yang Lu Truong Do Ngoc Vu Nguyen Tuan Tran |
| author_facet | Allen Hum Jun Wee Qing Yang Lu Truong Do Ngoc Vu Nguyen Tuan Tran |
| author_sort | Allen Hum Jun Wee |
| collection | DOAJ |
| description | Laser powder bed fusion (L-PBF) is widely recognised as a reliable technology for metal additive manufacturing (AM). However, industrial adoption of this technology still requires established methods to ensure its products' quality and optimise its printing parameters, either using in-process monitoring data or post-process characterisation. In this study, we utilise both visible-light and thermal imaging sensors to monitor L-PBF processes and provide a quantitative characterisation of the printed layers. For each layer of a printed part, we use a combination of thermal information and surface appearance to develop quality indicators capable of distinguishing printed parts with acceptable quality and those prone to overheating and lack of fusion. We also demonstrate the use of these quality indicators in detecting thermal deformation for overhanging structures. |
| format | Article |
| id | doaj-art-3f1c54633d2f4438bccce1f40ff3021c |
| institution | Kabale University |
| issn | 1745-2759 1745-2767 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Virtual and Physical Prototyping |
| spelling | doaj-art-3f1c54633d2f4438bccce1f40ff3021c2025-08-20T03:32:03ZengTaylor & Francis GroupVirtual and Physical Prototyping1745-27591745-27672025-12-0120110.1080/17452759.2025.2511118Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processesAllen Hum Jun Wee0Qing Yang Lu1Truong Do2Ngoc Vu Nguyen3Tuan Tran4School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeCollege of Engineering and Computer Science, VinUniversity, Hanoi, VietnamSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeLaser powder bed fusion (L-PBF) is widely recognised as a reliable technology for metal additive manufacturing (AM). However, industrial adoption of this technology still requires established methods to ensure its products' quality and optimise its printing parameters, either using in-process monitoring data or post-process characterisation. In this study, we utilise both visible-light and thermal imaging sensors to monitor L-PBF processes and provide a quantitative characterisation of the printed layers. For each layer of a printed part, we use a combination of thermal information and surface appearance to develop quality indicators capable of distinguishing printed parts with acceptable quality and those prone to overheating and lack of fusion. We also demonstrate the use of these quality indicators in detecting thermal deformation for overhanging structures.https://www.tandfonline.com/doi/10.1080/17452759.2025.2511118Powder bed fusionin-process monitoringvisible-light imagingthermal imaginganomaly detection |
| spellingShingle | Allen Hum Jun Wee Qing Yang Lu Truong Do Ngoc Vu Nguyen Tuan Tran Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes Virtual and Physical Prototyping Powder bed fusion in-process monitoring visible-light imaging thermal imaging anomaly detection |
| title | Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes |
| title_full | Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes |
| title_fullStr | Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes |
| title_full_unstemmed | Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes |
| title_short | Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes |
| title_sort | multi sensor monitoring for optimising printing parameters of laser powder bed fusion l pbf processes |
| topic | Powder bed fusion in-process monitoring visible-light imaging thermal imaging anomaly detection |
| url | https://www.tandfonline.com/doi/10.1080/17452759.2025.2511118 |
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