On Line Quality Inspection in Tailor Welded Blank Based on Laws Texture Energy and Structured Light
文献类型：会议论文
| 作者 | Zhang CN(张承宁) ; Xu M(许敏); Zhao MY(赵明扬); Luo HB(罗海波)
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| 出版日期 | 2010 |
| 会议名称 | 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010) |
| 会议日期 | December 7-10, 2010 |
| 会议地点 | Singapore |
| 关键词 | inspection measurement weld seam structured light |
| 页码 | 207-212 |
| 中文摘要 | Tailored blank laser welding has become a critical joining process in a number of manufacturing industries, including automotive, medical, and aerospace. Even if the welding process involves very high-tech equipment, the final product is not necessarily free of defects such as lack of fusion or penetration and porosities. This is the reason why it is important to inspect the welds quality. The conventional method for the quality inspection of weld seams is based on the structured light deformation, however, if a weld seam hasn't a groove profile, and this method is limited. A new method based on combination of Laws texture energy and structured light is proposed in this paper. A weld seam region and a structured light region are extracted respectively, and then the intersection operation with respect to the two regions can be carried out. The given method can also inspect weld seams without structured light deformation. Experiments are conducted with this method, then the considered width measurement is well measured and weld defects can also be detected. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-7813-2 |
| WOS记录号 | WOS:000291559800034 |
| 源URL | [http://ir.sia.cn/handle/173321/7894]  |
| 专题 | 沈阳自动化研究所_装备制造技术研究室 |
| 推荐引用方式 GB/T 7714 | Zhang CN,Xu M,Zhao MY,et al. On Line Quality Inspection in Tailor Welded Blank Based on Laws Texture Energy and Structured Light[C]. 见:11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010). Singapore. December 7-10, 2010. |
入库方式： OAI收割
来源：沈阳自动化研究所
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