Surface form inspection with contact coordinate measurement: a review. (1st June 2023)
- Record Type:
- Journal Article
- Title:
- Surface form inspection with contact coordinate measurement: a review. (1st June 2023)
- Main Title:
- Surface form inspection with contact coordinate measurement: a review
- Authors:
- Shen, Yijun
Ren, Jieji
Huang, Nuodi
Zhang, Yang
Zhang, Xinquan
Zhu, Limin - Abstract:
- Abstract: Parts with high-quality freeform surfaces have been widely used in industries, which require strict quality control during the manufacturing process. Among all the industrial inspection methods, contact measurement with coordinate measuring machines or computer numerical control machine tool is a fundamental technique due to its high accuracy, robustness, and universality. In this paper, the existing research in the contact measurement field is systematically reviewed. First, different configurations of the measuring machines are introduced in detail, which may have influence on the corresponding sampling and inspection path generation criteria. Then, the entire inspection pipeline is divided into two stages, namely the pre-inspection and post-inspection stages. The typical methods of each sub-stage are systematically overviewed and classified, including sampling, accessibility analysis, inspection path generation, probe tip radius compensation, surface reconstruction, and uncertainty analysis. Apart from those classical research, the applications of the emerging deep learning technique in some specific tasks of measurement are introduced. Furthermore, some potential and promising trends are provided for future investigation. Highlights: A comprehensive review on the whole pipeline of contact measurement is provided. The application of deep learning technique in the contact measurement is presented. The potential research on free-form surface contact measurement isAbstract: Parts with high-quality freeform surfaces have been widely used in industries, which require strict quality control during the manufacturing process. Among all the industrial inspection methods, contact measurement with coordinate measuring machines or computer numerical control machine tool is a fundamental technique due to its high accuracy, robustness, and universality. In this paper, the existing research in the contact measurement field is systematically reviewed. First, different configurations of the measuring machines are introduced in detail, which may have influence on the corresponding sampling and inspection path generation criteria. Then, the entire inspection pipeline is divided into two stages, namely the pre-inspection and post-inspection stages. The typical methods of each sub-stage are systematically overviewed and classified, including sampling, accessibility analysis, inspection path generation, probe tip radius compensation, surface reconstruction, and uncertainty analysis. Apart from those classical research, the applications of the emerging deep learning technique in some specific tasks of measurement are introduced. Furthermore, some potential and promising trends are provided for future investigation. Highlights: A comprehensive review on the whole pipeline of contact measurement is provided. The application of deep learning technique in the contact measurement is presented. The potential research on free-form surface contact measurement is discussed. … (more)
- Is Part Of:
- International journal of extreme manufacturing. Volume 5:Number 2(2023)
- Journal:
- International journal of extreme manufacturing
- Issue:
- Volume 5:Number 2(2023)
- Issue Display:
- Volume 5, Issue 2 (2023)
- Year:
- 2023
- Volume:
- 5
- Issue:
- 2
- Issue Sort Value:
- 2023-0005-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-06-01
- Subjects:
- freeform surface -- form inspection -- contact measurement -- coordinate measurement -- on-machine inspection
Manufacturing processes -- Periodicals
Manufacturing processes -- Technological innovations -- Periodicals
670 - Journal URLs:
- https://iopscience.iop.org/issue/2631-7990/1/1 ↗
- DOI:
- 10.1088/2631-7990/acc76e ↗
- Languages:
- English
- ISSNs:
- 2631-7990
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 26629.xml