Advanced visual sensing and control in CMT-based WAAM processes
Wire Arc Additive Manufacturing (WAAM) can flexibly produce high-performance parts that meet the requirements of deep-sea environments, but it has problems with insufficient molding accuracy and surface smoothness, which require improved precision and quality. To address these challenges, this paper...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Materials |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmats.2025.1499635/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832582928099442688 |
|---|---|
| author | Rui Yu Wenhang Li Mingfang Wu Jianxin Wang Qinglin Han Jiayou Wang Siyu Bing |
| author_facet | Rui Yu Wenhang Li Mingfang Wu Jianxin Wang Qinglin Han Jiayou Wang Siyu Bing |
| author_sort | Rui Yu |
| collection | DOAJ |
| description | Wire Arc Additive Manufacturing (WAAM) can flexibly produce high-performance parts that meet the requirements of deep-sea environments, but it has problems with insufficient molding accuracy and surface smoothness, which require improved precision and quality. To address these challenges, this paper establishes a WAAM experimental system based on Cold Metal Transfer (CMT) technology. First, the influence of process parameters on multi-layer single-channel forming was studied. Second, a structured light visual sensing system based on a high-speed camera was developed. Finally, a method for controlling the camera’s triggering mode at low voltage was designed, effectively eliminating arc interference. The experiment extracted and preprocessed the laser stripe ROI (Region of Interest), extracted geometric size information of the weld seam, and then performed median filtering to extract the centerline and feature points. By constructing a CMT-based WAAM monitoring system, high reliability and quality control of the manufacturing process and weld formation have been achieved. |
| format | Article |
| id | doaj-art-143f190e4191454eb10501b228557de3 |
| institution | Kabale University |
| issn | 2296-8016 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Materials |
| spelling | doaj-art-143f190e4191454eb10501b228557de32025-01-29T06:45:34ZengFrontiers Media S.A.Frontiers in Materials2296-80162025-01-011210.3389/fmats.2025.14996351499635Advanced visual sensing and control in CMT-based WAAM processesRui YuWenhang LiMingfang WuJianxin WangQinglin HanJiayou WangSiyu BingWire Arc Additive Manufacturing (WAAM) can flexibly produce high-performance parts that meet the requirements of deep-sea environments, but it has problems with insufficient molding accuracy and surface smoothness, which require improved precision and quality. To address these challenges, this paper establishes a WAAM experimental system based on Cold Metal Transfer (CMT) technology. First, the influence of process parameters on multi-layer single-channel forming was studied. Second, a structured light visual sensing system based on a high-speed camera was developed. Finally, a method for controlling the camera’s triggering mode at low voltage was designed, effectively eliminating arc interference. The experiment extracted and preprocessed the laser stripe ROI (Region of Interest), extracted geometric size information of the weld seam, and then performed median filtering to extract the centerline and feature points. By constructing a CMT-based WAAM monitoring system, high reliability and quality control of the manufacturing process and weld formation have been achieved.https://www.frontiersin.org/articles/10.3389/fmats.2025.1499635/fullWAAMCMTvisual sensingquality controlimage processing |
| spellingShingle | Rui Yu Wenhang Li Mingfang Wu Jianxin Wang Qinglin Han Jiayou Wang Siyu Bing Advanced visual sensing and control in CMT-based WAAM processes Frontiers in Materials WAAM CMT visual sensing quality control image processing |
| title | Advanced visual sensing and control in CMT-based WAAM processes |
| title_full | Advanced visual sensing and control in CMT-based WAAM processes |
| title_fullStr | Advanced visual sensing and control in CMT-based WAAM processes |
| title_full_unstemmed | Advanced visual sensing and control in CMT-based WAAM processes |
| title_short | Advanced visual sensing and control in CMT-based WAAM processes |
| title_sort | advanced visual sensing and control in cmt based waam processes |
| topic | WAAM CMT visual sensing quality control image processing |
| url | https://www.frontiersin.org/articles/10.3389/fmats.2025.1499635/full |
| work_keys_str_mv | AT ruiyu advancedvisualsensingandcontrolincmtbasedwaamprocesses AT wenhangli advancedvisualsensingandcontrolincmtbasedwaamprocesses AT mingfangwu advancedvisualsensingandcontrolincmtbasedwaamprocesses AT jianxinwang advancedvisualsensingandcontrolincmtbasedwaamprocesses AT qinglinhan advancedvisualsensingandcontrolincmtbasedwaamprocesses AT jiayouwang advancedvisualsensingandcontrolincmtbasedwaamprocesses AT siyubing advancedvisualsensingandcontrolincmtbasedwaamprocesses |