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An Application of Laser Measurement to On-Line Metal Strip Flatness Measurement

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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) (SOCO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1268))

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Abstract

In this article we discuss the need for metal strip flatness and the state of the art for its measurement, which is of top importance for the metal processing industry. There is a strong pressure for quality that demands on-line measurement that is robust to the perturbations introduced by further processing down the line. We sketch the design of an innovative on-line metal strip flatness measurement device based on the recovery of depth information from two parallel laser projected lines. Preliminary results show its robustness on simulated and real data.

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References

  1. Air bearing shapemeter, shapemeter for the rolling industry. White Paper (2015). https://www.primetals.com/fileadmin/user_upload/Air_bearing_shapemeter.pdf

  2. Astm a568/a568m-17a, standard specification for steel, sheet, carbon, structural, and high-strength, low-alloy, hot-rolled and cold-rolled, general requirements for (2017)

    Google Scholar 

  3. Agrawal, A., Chellappa, R., Raskar, R.: An algebraic approach to surface reconstruction from gradient fields. In: Tenth IEEE International Conference on Computer Vision (ICCV 2005), vol. 1, pp. 174–181 (2005)

    Google Scholar 

  4. Tsuzuki, S., et al.: Flatness control system of cold rolling process with pneumatic bearing type shape roll. IHI Eng. Rev. 42, 54–60 (2009). IHI, Tokyo, Japan

    Google Scholar 

  5. Bergman, G., Enneking, A., Thies, K.h: Displacement-type shape sensor for multi-roll leveler (2005)

    Google Scholar 

  6. Classon, P.K.L.: A new generation optical flatness measurement systems (2015)

    Google Scholar 

  7. Frankot, R.T., Chellappa, R.: A method for enforcing integrability in shape from shading algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 10(4), 439–451 (1988)

    Article  Google Scholar 

  8. Jouet, J., Francois, G., Tourscher, G., de Lamberterie, B.: Automatic flatness control at solmer hot strip mill using the lasershape sensor. Iron Steel Eng. 65(8), 50–56 (1988)

    Google Scholar 

  9. Karaçali, B., Snyder, W.: Reconstructing discontinuous surfaces from a given gradient field using partial integrability. Comput. Vis. Image Underst. 92(1), 78–111 (2003)

    Article  Google Scholar 

  10. Klette, R., Schluens, K.: Height data from gradient maps. In: Solomon, S.S., Batchelor, B.G., Waltz, F.M. (eds.) Machine Vision Applications, Architectures, and Systems Integration, vol. 2908, pp. 204 – 215. International Society for Optics and Photonics, SPIE (1996)

    Google Scholar 

  11. Knauer, M.C., Kaminski, J., Hausler, G.: Phase measuring deflectometry: a new approach to measure specular free-form surfaces. In: Osten, W., Takeda, M. (eds.) Optical Metrology in Production Engineering, vol. 5457, pp. 366–376. International Society for Optics and Photonics, SPIE (2004)

    Google Scholar 

  12. Paakkari, J.: On-line flatness measurement of large steel plates using moiré topography (1998)

    Google Scholar 

  13. Rychkov, I.: Locally controlled globally smooth ground surface reconstruction from terrestrial point clouds (2012)

    Google Scholar 

  14. Savitzky, A., Golay, M.J.: Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36, 1627–1639 (1964)

    Article  Google Scholar 

  15. Schlüns, K., Klette, R.: Local and global integration of discrete vector fields, pp. 149 – 158 (1997)

    Google Scholar 

  16. Sivilotti, O., GuiseppePervi, C.: Arrangement in strip rolling mills for measuring the distribution of the strip tension over the strip width (1966)

    Google Scholar 

  17. Vollmer, F.: Vip08 flatness measurement system (2010). https://vollmeramerica.com/vip-08-flatness-measurement-system

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Acknowlegment

This work has been partially supported by FEDER funds through MINECO project TIN2017-85827-P, RFCS EU funded project FLATBEND with grant number 800730, and grant IT1284-19 as university research group of excellence from the Basque Government.

Author information

Authors and Affiliations

  1. ECS Department, Robotics and Automation Group, Mondragon University, Mondragon, Spain

    Marcos Alonso, Alberto Izaguirre & Imanol Andonegui

  2. Computational Intelligence Group, UPV/EHU, San Sebastian, Spain

    Manuel Graña

Authors
  1. Marcos Alonso
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  2. Alberto Izaguirre
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  3. Imanol Andonegui
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  4. Manuel Graña
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Corresponding author

Correspondence to Manuel Graña .

Editor information

Editors and Affiliations

  1. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Álvaro Herrero

  2. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Carlos Cambra

  3. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Daniel Urda

  4. Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  5. Department of Industrial Engineering, University of A Coruña, La Coruña, Spain

    Héctor Quintián

  6. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Alonso, M., Izaguirre, A., Andonegui, I., Graña, M. (2021). An Application of Laser Measurement to On-Line Metal Strip Flatness Measurement. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_80

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