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Multi-view camera system for measurement of heavy forgings

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Abstract

Open-die forging is used to manufacture heavy durable parts such as shafts. In-process measurements are required for shape correction. The passive 3D measurement method is based on forging silhouettes in images and has demonstrated its advantages in this application. However, when using two cameras, only four tangents are available to determine the cross-section. In this paper, we propose a novel multi-camera multi-observation method for forging measurements; it increases the number of tangent lines used to determine the forging cross-section. The results suggest a decrease in measurement error proportional to the square root of the observation number. The six-observation precision is ± 0.5 mm in a measurement volume of 6 × 6 × 2 m for axis straightness and diameter measurements (95% confidence interval). However, many outliers remain in case of diameter measurement. In addition, the forging circularity can be measured. The proposed system shows good agreement with the laser scanning measurement method. Overall, the system has considerable potential for forging manufacturing applications.

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References

  1. Quentin L, Beermann R, Brunotte K et al (2020) Concept of a control system based on 3D geometry measurement for open die forging of large-scale components. In de Groot PJ, Leach RK, Picart P (eds) Optics and Photonics for Advanced Dimensional Metrology. SPIE, p 12

  2. Yamauchi M (2009) Errors in optical shape measurement caused by a high-temperature atmosphere. Opt Eng 48:4. https://doi.org/10.1117/1.3212674

    Article  Google Scholar 

  3. Beermann R, Quentin L, Stein G et al (2018) Full simulation model for laser triangulation measurement in an inhomogeneous refractive index field. Opt Eng 57:1. https://doi.org/10.1117/1.OE.57.11.114107

    Article  Google Scholar 

  4. Hawryluk M, Ziemba J (2017) Possibilities of application measurement techniques in hot die forging processes. Measurement 110:284–295. https://doi.org/10.1016/j.measurement.2017.07.003

    Article  Google Scholar 

  5. Hawryluk M, Ziemba J, Sadowski P (2017) A review of current and new measurement techniques used in hot die forging processes. Meas Control 50:74–86. https://doi.org/10.1177/0020294017707161

    Article  Google Scholar 

  6. Wen X, Wang J, Zhang G, Niu L (2021) Three-dimensional morphology and size measurement of high-temperature metal components based on machine vision technology: a review. Sensors. https://doi.org/10.3390/s21144680

    Article  Google Scholar 

  7. Tian ZS, Gao F, Jin LZ, Zhao XC (2009) Dimension measurement of hot large forgings with a novel time-of-flight system. Int J Adv Manuf Technol 44:125–132. https://doi.org/10.1007/s00170-008-1807-8

    Article  Google Scholar 

  8. Du ZC, Wu ZY, Yang JG (2016) 3D measuring and segmentation method for hot heavy forging. Measurement 85:43–53. https://doi.org/10.1016/j.measurement.2016.02.004

    Article  Google Scholar 

  9. Zhang Y, Wang Y, Liu Y et al (2019) A concentricity measurement method for large forgings based on laser ranging principle. Measurement. https://doi.org/10.1016/j.measurement.2019.07.066

    Article  Google Scholar 

  10. Zhang YC, Han JX, Fu XB, Zhang FL (2014) Measurement and control technology of the size for large hot forgings. Measurement 49:52–59. https://doi.org/10.1016/j.measurement.2013.11.028

    Article  Google Scholar 

  11. Ghiotti A, Schöch A, Salvadori A et al (2015) Enhancing the accuracy of high-speed laser triangulation measurement of freeform parts at elevated temperature. CIRP Ann Manuf Technol 64:499–502. https://doi.org/10.1016/j.cirp.2015.04.012

    Article  Google Scholar 

  12. Bračun D, Škulj G, Kadiš M (2017) Spectral selective and difference imaging laser triangulation measurement system for on line measurement of large hot workpieces in precision open die forging. Int J Adv Manuf Technol 90:917–926. https://doi.org/10.1007/s00170-016-9460-0

    Article  Google Scholar 

  13. Mejia-Parra D, Sánchez JR, Ruiz-Salguero O et al (2019) In-line dimensional inspection of warm-die forged revolution workpieces using 3D mesh reconstruction. Appl Sci 9:1–21. https://doi.org/10.3390/app9061069

    Article  Google Scholar 

  14. Quentin L, Beermann R, Reinke C et al (2021) Adapted fringe projection sequences for changing illumination conditions on the example of measuring a wrought-hot object influenced by forced cooling. Sensors 21:1–17. https://doi.org/10.3390/s21051599

    Article  Google Scholar 

  15. Quentin L, Reinke C, Beermann R et al (2020) Design, setup, and evaluation of a compensation system for the light deflection effect occurring when measuring wrought-hot objects using optical triangulation methods. Metals (Basel) 10:1–15. https://doi.org/10.3390/met10070908

    Article  Google Scholar 

  16. Liu W, Jia XH, Jia ZY et al (2011) Fast dimensional measurement method and experiment of the forgings under high temperature. J Mater Process Technol 211:237–244. https://doi.org/10.1016/j.jmatprotec.2010.09.015

    Article  Google Scholar 

  17. Liu W, Jia ZY, Wang FJ et al (2012) An improved online dimensional measurement method of large hot cylindrical forging. Measurement 45:2041–2051. https://doi.org/10.1016/j.measurement.2012.05.004

    Article  Google Scholar 

  18. Jia ZY, Wang LL, Liu W et al (2015) A field measurement method for large objects based on a multi-view stereo vision system. Sens Actuators A 234:120–132. https://doi.org/10.1016/j.sna.2015.08.024

    Article  Google Scholar 

  19. Jia ZY, Liu Y, Liu W et al (2015) A spectrum selection method based on SNR for the machine vision measurement of large hot forgings. Optik (Stuttg) 126:5527–5533. https://doi.org/10.1016/j.ijleo.2015.09.110

    Article  Google Scholar 

  20. Liu Y, Jia ZY, Liu W et al (2016) An improved image acquisition method for measuring hot forgings using machine vision. Sens Actuators A 238:369–378. https://doi.org/10.1016/j.sna.2015.11.035

    Article  Google Scholar 

  21. Yang J, Liu W, Zhang R et al (2018) A method for measuring the thermal geometric parameters of large hot rectangular forgings based on projection feature lines. Mach Vis Appl 29:467–476. https://doi.org/10.1007/s00138-017-0900-0

    Article  Google Scholar 

  22. Dworkin SB, Nye TJ (2006) Image processing for machine vision measurement of hot formed parts. J Mater Process Technol 174:1–6. https://doi.org/10.1016/j.jmatprotec.2004.10.019

    Article  Google Scholar 

  23. Bi C, Fang J, Li D, Qu X (2016) Study on application of color filters in vision system of hot forgings. Opt Meas Technol Instrum 10155:1015522. https://doi.org/10.1117/12.2246795

    Article  Google Scholar 

  24. Hu CH, Liu B, Song XX (2009) A novel edge detection approach used for online dimensional measurement of heavy forging. In Ye S, Zhang G, Ni J (eds) 2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications

  25. Wang P, Lin Y, Muroiwa R et al (2020) A weighted variance approach for uncertainty quantification in high quality steel rolling. Proc Int Conf Inf Fusion (FUSION 2020). https://doi.org/10.23919/FUSION45008.2020.9190527

  26. Zhou Y, Wu Y, Luo C (2018) A fast dimensional measurement method for large hot forgings based on line reconstruction. Int J Adv Manuf Technol 99:1713–1724. https://doi.org/10.1007/s00170-018-2551-3

    Article  Google Scholar 

  27. Zatočilová A, Paloušek D, Brandejs J (2016) Image-based measurement of the dimensions and of the axis straightness of hot forgings. Measurement 94:254–264. https://doi.org/10.1016/j.measurement.2016.07.066

    Article  Google Scholar 

  28. Zatočilová A, Paloušek D, Brandejs J (2015) Development of a photogrammetry system for the measurement of rotationally symmetric forgings. In Lehmann P, Osten W, Albertazzi Gonçalves A (eds) Proc SPIE Vol. 9525, Optical Measurement Systems for Industrial Inspection IX

  29. Zatočilová A, Poliščuk R, Paloušek D, Brandejs J (2013) Photogrammetry based system for the measurement of cylindrical forgings axis straightness. In Lehmann P, Osten W, Albertazzi Gonçalves A (eds) Proc SPIE Vol. 8788, Optical Measurement Systems for Industrial Inspection VIII

  30. Hurník J, Zatočilová A, Koutný D, Paloušek D (2022) Enhancing the accuracy of forging measurement using silhouettes in images. Measurement 194:111059. https://doi.org/10.1016/j.measurement.2022.111059

    Article  Google Scholar 

  31. Fu X, Zhang Y, Zhang W et al (2021) Research on the size of ring forgings based on image detection and point cloud data matching method. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-021-08268-9

    Article  Google Scholar 

  32. Hurník J, Zatočilová A, Paloušek D (2019) Camera calibration method of optical system for large field measurement of hot forgings in heavy industry. In Lehmann P, Osten W, Albertazzi Gonçalves A (eds) Proc SPIE 11056, Optical Measurement Systems for Industrial Inspection XI

  33. Hurník J, Zatočilová A, Paloušek D (2021) Circular coded target system for industrial applications. Mach Vis Appl 32:1–14. https://doi.org/10.1007/s00138-020-01159-1

    Article  Google Scholar 

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Acknowledgements

We thank the ZĎAS company for allowing the research team to conduct experiments in their factory. We would like to thank Editage (www.editage.com) for English language editing. Special thanks belong to the Institute of Geodesy, Faculty of Civil Engineering, Brno University of Technology, namely Ing. Tomáš Volařík, Ph.D., for the laser scanning measurement.

Funding

This research was funded by the Technology Agency of the Czech Republic (Project: TREND FW01010098) and the Faculty of Mechanical Engineering, Brno University of Technology (Internal Specific Projects: FSI-S-20–6296 and FSI-S-20–6187).

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Jakub Hurník was responsible for conceptualization, methodology, software, and writing of an original draft. Material preparation and data collection were performed by Aneta Zatočilová, Pavel Štarha, and Jakub Hurník. The analysis of the data was carried out by Jakub Hurník and Aneta Zatočilová. Aneta Zatočilová and Daniel Koutný were responsible for project administration and funding acquisition. Tereza Konečná was responsible for the formal analysis. Daniel Koutný was performing the supervision. All authors read and approved the final manuscript.

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Correspondence to Jakub Hurník.

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Hurník, J., Zatočilová, A., Konečná, T. et al. Multi-view camera system for measurement of heavy forgings. Int J Adv Manuf Technol 121, 7295–7310 (2022). https://doi.org/10.1007/s00170-022-09809-6

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  • DOI: https://doi.org/10.1007/s00170-022-09809-6

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