3D Printing Errors Detection During the Process
Automated error detection in 3D printing is an important challenge that impacts not only the quality of the final parts but also operational efficiency, helping to minimize wasted time and material. Certain types of errors can even result in printer malfunctions. A widely used solution for monitorin...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Galati University Press
2024-06-01
|
| Series: | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
| Subjects: | |
| Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/7166 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841549918860214272 |
|---|---|
| author | Florin-Bogdan MARIN Mihaela MARIN |
| author_facet | Florin-Bogdan MARIN Mihaela MARIN |
| author_sort | Florin-Bogdan MARIN |
| collection | DOAJ |
| description | Automated error detection in 3D printing is an important challenge that impacts not only the quality of the final parts but also operational efficiency, helping to minimize wasted time and material. Certain types of errors can even result in printer malfunctions. A widely used solution for monitoring the printing process involves employing a webcam to observe the process in real time, either alerting the operator or halting the print if an issue is detected. In this paper, a computer vision algorithm able to detect specific errors is proposed. |
| format | Article |
| id | doaj-art-43112bfe51ab48ba8ebb9057661b1f23 |
| institution | Kabale University |
| issn | 2668-4748 2668-4756 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Galati University Press |
| record_format | Article |
| series | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
| spelling | doaj-art-43112bfe51ab48ba8ebb9057661b1f232025-01-10T11:57:10ZengGalati University PressThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science2668-47482668-47562024-06-01472182210.35219/mms.2024.2.0371663D Printing Errors Detection During the ProcessFlorin-Bogdan MARIN0Mihaela MARIN1“Dunarea de Jos” University of Galati, Romania“Dunarea de Jos” University of Galati, RomaniaAutomated error detection in 3D printing is an important challenge that impacts not only the quality of the final parts but also operational efficiency, helping to minimize wasted time and material. Certain types of errors can even result in printer malfunctions. A widely used solution for monitoring the printing process involves employing a webcam to observe the process in real time, either alerting the operator or halting the print if an issue is detected. In this paper, a computer vision algorithm able to detect specific errors is proposed.https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/71663d printingerrorsdetectionmachine learning |
| spellingShingle | Florin-Bogdan MARIN Mihaela MARIN 3D Printing Errors Detection During the Process The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science 3d printing errors detection machine learning |
| title | 3D Printing Errors Detection During the Process |
| title_full | 3D Printing Errors Detection During the Process |
| title_fullStr | 3D Printing Errors Detection During the Process |
| title_full_unstemmed | 3D Printing Errors Detection During the Process |
| title_short | 3D Printing Errors Detection During the Process |
| title_sort | 3d printing errors detection during the process |
| topic | 3d printing errors detection machine learning |
| url | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/7166 |
| work_keys_str_mv | AT florinbogdanmarin 3dprintingerrorsdetectionduringtheprocess AT mihaelamarin 3dprintingerrorsdetectionduringtheprocess |