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access icon free Online measuring method of the axial section line in ring forging process

  • Author(s): Ying Wang 1 ; Yongjie Wang 2 ; Yucun Zhang 2 ; Xianbin Fu 3
    • View affiliations
  • Source: Volume 12, Issue 4, July 2018, p. 528 – 535
    DOI:  10.1049/iet-smt.2017.0327 , Print ISSN 1751-8822, Online ISSN 1751-8830
© The Institution of Engineering and Technology
Received 02/08/2017, Accepted 07/02/2018, Revised 17/01/2018, Published 14/02/2018

The axial section line of the ring forging is the key parameter to measure whether the ring forging process meets the technical requirements. To ensure the quality of the ring forgings, an online measuring method of the axial section line in ring forging process is proposed in this study. First, the axial section line data of the ring forging is obtained online by laser scanning device. Then, the axial section line data is locally sorted and is screened to eliminate the edge noise. Second, the axial section line data is converted to line grey image data by merger and derivation theory. Finally, the line grey image data is smoothed by bilateral filtering based on information entropy selection factor. Then, the shape of the axial section line is constructed to complete the measurement of the axial section line. The experimental results show that the measurement speed of axial section line meets the requirements and the measurement accuracy of the axial section line meets the requirements.

Inspec keywords: forging; image filtering; image colour analysis; image denoising; optical scanners; spatial variables measurement; entropy

Other keywords: bilateral filtering; edge noise elimination; axial section line measurement method; derivation theory; merger theory; laser scanning device; information entropy selection factor; line grey image data smoothing; ring forging process

Subjects: Image processing and restoration; Spatial variables measurement; Optical shutters, windows, diaphragms, deflectors, choppers, and scanners; Spatial variables measurement; Other optical system components; Optical, image and video signal processing

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