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Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication
In the process of electron-beam freeform fabrication deposition, the surface of the deposit layer becomes rough because of the instability of the feeding wire and the changing of the thermal diffusion condition. This will make the droplet transfer distance change in the deposition process, and the d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039228/ https://www.ncbi.nlm.nih.gov/pubmed/32050537 http://dx.doi.org/10.3390/s20030923 |
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author | Chang, Shuhe Zhang, Haoyu Xu, Haiying Sang, Xinghua Wang, Li Du, Dong Chang, Baohua |
author_facet | Chang, Shuhe Zhang, Haoyu Xu, Haiying Sang, Xinghua Wang, Li Du, Dong Chang, Baohua |
author_sort | Chang, Shuhe |
collection | PubMed |
description | In the process of electron-beam freeform fabrication deposition, the surface of the deposit layer becomes rough because of the instability of the feeding wire and the changing of the thermal diffusion condition. This will make the droplet transfer distance change in the deposition process, and the droplet transfer cannot always be stable in the liquid bridge transfer state. It is easy to form a large droplet or make wire and substrate stick together, which makes the deposition quality worsen or even interrupts the deposition process. The current electron-beam freeform fabrication deposition is mostly open-loop control, so it is urgent to realize the real-time and closed-loop control of the droplet transfer and to make it stable in the liquid bridge transfer state. In this paper, a real-time monitoring method based on machine vision is proposed for the droplet transfer of electron-beam freeform fabrication. The detection accuracy is up to ± 0.08 mm. Based on this method, the measured droplet transfer distance is fed back to the platform control system in real time. This closed-loop control system can stabilize the droplet transfer distance within ± 0.14 mm. In order to improve the detection stability of the whole system, a droplet transfer detection algorithm suitable for this scenario has been written, which improves the adaptability of the droplet transfer distance detection method by means of dilatation/erosion, local minimum value suppression, and image segmentation. This algorithm can resist multiple disturbances, such as spatter, large droplet occlusion and so on. |
format | Online Article Text |
id | pubmed-7039228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70392282020-03-09 Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication Chang, Shuhe Zhang, Haoyu Xu, Haiying Sang, Xinghua Wang, Li Du, Dong Chang, Baohua Sensors (Basel) Article In the process of electron-beam freeform fabrication deposition, the surface of the deposit layer becomes rough because of the instability of the feeding wire and the changing of the thermal diffusion condition. This will make the droplet transfer distance change in the deposition process, and the droplet transfer cannot always be stable in the liquid bridge transfer state. It is easy to form a large droplet or make wire and substrate stick together, which makes the deposition quality worsen or even interrupts the deposition process. The current electron-beam freeform fabrication deposition is mostly open-loop control, so it is urgent to realize the real-time and closed-loop control of the droplet transfer and to make it stable in the liquid bridge transfer state. In this paper, a real-time monitoring method based on machine vision is proposed for the droplet transfer of electron-beam freeform fabrication. The detection accuracy is up to ± 0.08 mm. Based on this method, the measured droplet transfer distance is fed back to the platform control system in real time. This closed-loop control system can stabilize the droplet transfer distance within ± 0.14 mm. In order to improve the detection stability of the whole system, a droplet transfer detection algorithm suitable for this scenario has been written, which improves the adaptability of the droplet transfer distance detection method by means of dilatation/erosion, local minimum value suppression, and image segmentation. This algorithm can resist multiple disturbances, such as spatter, large droplet occlusion and so on. MDPI 2020-02-10 /pmc/articles/PMC7039228/ /pubmed/32050537 http://dx.doi.org/10.3390/s20030923 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chang, Shuhe Zhang, Haoyu Xu, Haiying Sang, Xinghua Wang, Li Du, Dong Chang, Baohua Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication |
title | Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication |
title_full | Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication |
title_fullStr | Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication |
title_full_unstemmed | Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication |
title_short | Closed-Loop Control of Droplet Transfer in Electron-Beam Freeform Fabrication |
title_sort | closed-loop control of droplet transfer in electron-beam freeform fabrication |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039228/ https://www.ncbi.nlm.nih.gov/pubmed/32050537 http://dx.doi.org/10.3390/s20030923 |
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