Abstract
The online dimensional measurement of large hot forging is an important procedure in the forging process. Because of different production demands, the final geometrical shapes of large forgings are usually different (e.g. cylindrical columns, rectangular prisms). Forgings of different geometric shapes need to be measured along different dimensions. For rectangular forgings, the lengths primarily need to be measured. A generalized measurement system for different geometric shapes of forgings cannot provide the accuracy of measurement systems targeted at measuring a known shape. Based on the characteristics of the rectangular forgings, a thermal dimensional measurement system is proposed in this paper. The localization, rapid extraction of feature points and method for measuring the dimensions of rectangular forgings are presented. The proposed methods can easily and efficiently extract the feature points of the forging. The experiment results show that the method proposed in this paper has the advantages of high precision and high efficiency, which is appropriate for online measurement.
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Liang, J.T., Zhao, S.D., Zhao, J.W.: A novel dimension measurement system of hot large open die forgings. In: Advanced Materials Research. 2011 Trans Tech Publ
Du, Z., Du, Y.: Simple three-dimensional laser radar measuring method and model reconstruction for hot heavy forgings. Opt. Eng. 51(2) (2012)
Du, Z., Wu, Z., Yang, J.: 3D measuring and segmentation method for hot heavy forging. Measurement 85, 43–53 (2016)
Jia, Z., et al.: An improved image acquiring method for machine vision measurement of hot formed parts. J. Mater. Process. Technol. 210(2), 267–271 (2010)
Rech, R., et al.: Laser measurements on large open die forgings. Stahl Eisen 126(2), 53–57 (2006)
Okamoto, A., Wasa, Y., Kagawa, Y.: Development of shape measurement system for hot large forgings. Res. Dev. Kobe 57(3), 29 (2007)
Maatta, K.E., Kostamovaara, J.T., Myllylae, R.A.: Measurement of hot surfaces by pulsed time-of-flight laser radar techniques. In: The Hague’90. International Society for Optics and Photonics, 12–16 April (1990)
Fu, X.-B., Liu, B., Zhang, Y.-C.: An optical non-contact measurement method for hot-state size of cylindrical shell forging. Measurement 45(6), 1343–1349 (2012)
Bokhabrine, Y., et al.: 3D characterization of hot metallic shells during industrial forging. Mach. Vis. Appl. 23(3), 417–425 (2012)
Dworkin, S.B., Nye, T.J.: Image processing for machine vision measurement of hot formed parts. J. Mater. Process. Technol. 174(1–3), 1–6 (2006)
Huang, H., Gutchess, D., Chang, T.: Imaging based in-line surface defect inspection for bar rolling. In: Proceeding of Conference Association for Iron & Steel Technology (AISTECH) (2004)
He, J., et al.: Measure dimension of rotating large hot steel shell using pulse laser on PRRR robot. Measurement 45(7), 1814–1823 (2012)
Zhang, Y.-C., et al.: An online measurement method based on line laser scanning for large forgings. Int. J. Adv. Manuf. Technol. 70(1–4), 439–448 (2014)
Wang, J., Qiu, Z., Li, J.: Experimental research on dimensional measurement of hot parts based on CCD. In: Photonics Asia 2007. International Society for Optics and Photonics (2007)
Zhang, Y.-C., et al.: Measurement and control technology of the size for large hot forgings. Measurement 49, 52–59 (2014)
Liu, W., et al.: An improved online dimensional measurement method of large hot cylindrical forging. Measurement 45(8), 2041–2051 (2012)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
Sun, J.-H., et al.: Field calibration of stereo vision sensor with large FOV. Opt. Precis. Eng. 3, 032 (2009)
Ravindra, B., Mallik, A.: Performance of non-linear vibration isolators under harmonic excitation. J. Sound Vib. 170(3), 325–337 (1994)
Zhang, Z.Y.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
Steger, C.: An unbiased detector of curvilinear structures. IEEE Trans. Pattern Anal. Mach. Intell. 20(2), 113–125 (1998)
Kun, H., Fuqiang, Z., Guangjun, Z.: Fast extrication method for sub-pixel center of structured light stripe. Chin. J. Sci. Instrum. 27(10), 1326 (2006)
Zhang, Z., et al.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artif. Intell. 78(1), 87–119 (1995)
Zhang, Z.Y.: Determining the epipolar geometry and its uncertainty: A review. Int. J. Comput. Vision 27(2), 161–195 (1998)
Acknowledgements
This paper is supported by the Special Funds of the National Natural Science Foundation of China (Grant No. 51227004), the National Natural Science Foundation of China (Grant No. 51375075), the National Basic Research Program of China 973 Project (Grant No. 2014CB046504) and the Science Fund for Creative Research Groups (Grant No. 51321004).
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Yang, J., Liu, W., Zhang, R. et al. A method for measuring the thermal geometric parameters of large hot rectangular forgings based on projection feature lines. Machine Vision and Applications 29, 467–476 (2018). https://doi.org/10.1007/s00138-017-0900-0
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DOI: https://doi.org/10.1007/s00138-017-0900-0