Robust and automatic measurement of grinding-induced subsurface damage in optical glass K9 based on digital image processing

• Autorzy: Zhao Y. J. , Yan Y. H. , Song K. C. , Li H. N.

Identyfikatory

DOI

10.1016/j.acme.2017.07.009

• Języki publikacji: EN

Abstrakty

EN

Optical glass K9 is a critical kind of optical materials, however experiments have indicated that the mechanical grinding of K9 easily led to subsurface damage (SSD). Although substantial SSD measurement methods have been suggested, the problems including the prior knowledge of SSD and slow measurement speed still impede the reported method applications. To this end, this paper has presented an image-process-based method that can identify and measure the grinding-induced SSD in K9 specimens. By performing grinding trials, the method has been found to be able to accurately (with biggest relative error of 3.13% in comparison with the manually measured results) and quickly (with the measurement speed of 1.68 s per image) measure SSD depths. Without any parameter presetting, the method enables automatic SSD measurements, allowing the users without SSD knowledge to be able to use the method. Moreover, the method has shown the good robustness to the input image size, illumination, tilted specimen placement, and material flaws. The method is therefore anticipated to be meaningful for the industrial manufacturing, design and application of optical glass.

Słowa kluczowe

EN

measurement; optical glass; image processing; subsurface damage; grinding

PL

pomiary; szkło optyczne; przetwarzanie obrazu; szlifowanie

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2018
• Tom: Vol. 18, no. 1
• Strony: 320--330
• Opis fizyczny: Bibliogr. 21 poz., fot., rys.

Twórcy

autor

Zhao Y. J.

• School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China

autor

Yan Y. H.

• School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China

autor

Song K. C.

• School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China

autor

Li H. N.

• School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)