Skip to main content
Log in

Concept of Optimal Bar Roll Pass Design. Report 4. Optimization of Roll Pass Design Scheme

  • Published:
Steel in Translation Aims and scope

Abstract

This study considers roll pass design from the standpoint of system-level analysis within the UrFU concept of optimal roll pass design developed at the Department of Metal Forming of the Ural Federal University. Roll pass design as a process system is changed by two methods, that is, either by changing the structure of the system, which corresponds to changes in the groove shape, or by changing the control of the system, which corresponds to changing reductions by passes in one and the same grooves, that is, by changing reduction mode. The roll pass design that is considered optimal contains such grooves and uses such reduction mode, at which the extreme properties of preset target functions are ensured depending on the indicated parameters. In previous reports, the general concept of the two-stage optimization of roll pass design is considered. This concept implies a consistent optimization of the roll pass design scheme (optimization stage one) and reduction mode (optimization stage two). In addition, procedures of shaping the optimization space for stage one are considered. This space includes virtual roll pass design schemes and is shaped by the special generator of these schemes and the set of all possible types of grooves that can be used at this particular stage of rolling. To calculate the target function of the optimality criterion of the roll pass design scheme, the groove efficiency space concept is introduced. This space is shaped by the formalized expert assessment of the degree of influence of various permissible forms of grooves used in roll pass design on the diverse technological, economic and other characteristics of a particular rolling mill. The target function is calculated as variance of integral performance indicators of the grooves included in the roll pass design relative to the hypothetical ideal groove with the best values of selected performance indicators. The roll pass design scheme corresponding to the minimal target function is considered the best.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.

REFERENCES

  1. Mikhailenko, A.M. and Shvarts, D.L., The concept of optimal bar roll design. Report 1. Basic provisions, Izv. Vyssh. Uchebn. Zaved., Chern. Metall., 2018, vol. 61, no. 1, pp. 21–27. https://doi.org/10.17073/0368-0797-2018-1-21-27

    Article  Google Scholar 

  2. Mesarovic, M.D. and Takahara, Y., General Systems Theory: Mathematical Foundations, Elsevier Science, 1975.

    Google Scholar 

  3. Moroz, A.I., Kurs teorii sistem. Uchebnoe posobie dlya vuzov (Systems Theory: Textbook for Universities), Moscow: Vysshaya Shkola, 1987.

  4. Skyttner, L., General Systems Theory: An Introduction, Macmillan Press, 1996.

    Book  Google Scholar 

  5. Hester, P.T. and Adams, K.MacG., Systemic Decision Making: Fundamentals for Addressing Problems and Messes, Topics in Safety, Risk, Reliability and Quality, vol. 33, Cham: Springer, 2017. https://doi.org/10.1007/978-3-319-54672-8

    Book  Google Scholar 

  6. Huang, B., Xing, K., Spuzic, S., and Abhary, K., Development of parameterized roll pass design based on a hybrid model, ICMET 2010, Int. Conf. on Mechanical and Electrical Technology, Proc., 2010, pp. 91–93. https://doi.org/10.1109/ICMET.2010.5598326

  7. Lambiase, F. and Langella, A., Automated procedure for roll pass design, J. Mater. Eng. Perform., 2009, vol. 18, pp. 263–272. https://doi.org/10.1007/s11665-008-9289-2

    Article  CAS  Google Scholar 

  8. Abhary, K., Kovacic, Z., Lundberg, S.-E., Narayanan, R., and Spuzic, S., The application of a hybrid algorithm to roll pass design, Int. J. Adv. Manuf. Technol., 2015, vol. 79, nos. 5–6, pp. 1063–1070. https://doi.org/10.1007/s00170-015-6865-0

    Article  Google Scholar 

  9. Wang, Q., Huang, P., and Yin, Y., Design and optimization of rolling mills pass based on parameterization and orthogonal test, Int. J. Adv. Manuf. Technol., 2021, vol. 112, nos. 3–4, pp. 803–818. https://doi.org/10.1007/s00170-020-06353-z

    Article  Google Scholar 

  10. Lapovok, R.Ye. and Thomson, P.F., The mathematical basis of optimal roll pass design, V-st Biennial Engineering Mathematics Conf., Melbourne, 1994, pp. 1–9.

  11. Mikhailenko, A.M. and Shvarts, D.L., The concept of optimal shaped roll pass design. Report 2. Calibers space, Izv. Vyssh. Uchebn. Zaved., Chern. Metall., 2018, vol. 61, no. 5, pp. 364–371. https://doi.org/10.17073/0368-0797-2018-5-364-371

    Article  Google Scholar 

  12. Ilyukovich, B.M., Nekhaev, N.E., and Merkur’ev, S.E., et al., Prokatka and kalibrovka (Rolling and Pass Design), Dnepropetrovsk: Dnepro-Val, 2004, vols. 5–6.

  13. Smirnov, V.K., Shilov, V.A., and Inatovich, Yu.V., Kalibrovka prokatnykh valkov. Uchebnoe posobie dlya vuzov (Roll Pass Design: Tutorial for Universities), Moscow: Teplotekhnika, 2010, 2nd. ed.

  14. Gupta, N.K., Steel Rolling: Principle, Process & Application, London: CRC Press, 2021. https://doi.org/10.1201/9781003182399

    Book  Google Scholar 

  15. Mikhailenko, A.M. and Shvarts, D.L., The concept of optimal bar roll pass design. Report 3. Space of roll pass design schemes, Izv. Vyssh. Uchebn. Zaved., Chern. Metall., 2019, vol. 62, no. 1, pp. 15–24. https://doi.org/10.17073/0368-0797-2019-1-15-24

    Article  Google Scholar 

  16. Schwartz, D.L., Mikhailenko, A.M., and Ustinova, E.I., Method of optimization of roll calibration for channels. Groove space, J. Chem. Technol. Metall., 2020, vol. 55, no. 3, pp. 657–665.

    Google Scholar 

  17. Kirk, D.E., Optimal Control Theory: An Introduction, Mineola, N.Y.: Dover Publications, 2004.

    Google Scholar 

  18. Ackoff, R.L. and Sasieni, M.W., Fundamentals of Operations Research, New York: Wiley, 1968.

    Google Scholar 

  19. ISO 3534-1:2006: Statistics. Vocabulary and symbols. Part 1: General statistical terms and terms used in probability, 2006.

  20. Vasant, P., Weber, G.-W., and Dieu, V.N., Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, IGI Global, 2016.

    Book  Google Scholar 

  21. Lotov, A.V. and Pospelova, I.I., Mnogokriterial’nye zadachi prinyatiya reshenii (Multi-Criteria Decision Making Tasks: Tutorial), Moscow: Maks Press, 2008.

  22. Munier, A., Hontoria, E., and Jiménez-Sáez, F., Strategic Approach in Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios, International Series in Operations Research & Management Science, vol. 275, Cham: Springer, 2019. https://doi.org/10.1007/978-3-030-02726-1

  23. Triantaphyllou, E., Multi-Criteria Decision Making Methods: A Comparative Study, Applied Optimization, vol. 44, New York: Springer, 2000. https://doi.org/10.1007/978-1-4757-3157-6

  24. Tulupov, S.A., Matrix method for representing the forming process during rolling in grooves of simple shape. Report 1, Izv. Vyssh. Uchebn. Zaved., Chern. Metall., 1989, vol. 32, no. 12, pp. 63–65.

    Google Scholar 

  25. Tulupov, S.A., Matrix method for representing the forming process during rolling in grooves of simple shape. Report 2, Izv. Vyssh. Uchebn. Zaved., Chern. Metall., 1990, vol. 33, no. 2, pp. 48–50.

    Google Scholar 

  26. Medvedev, V.S., Shlimovichus, V.Ya., and Lyubimyi, K.V. Analytical description of the contours of grooves with arbitrary shape, Sovershenstvovanie tekhnologii proizvodstva sortovogo prokata i gnutykh profilei (Improving the Technology for Production of Long Products and Roll-Formed Sections), Kharkiv, 1989, pp. 13–18.

    Google Scholar 

  27. Mikhailenko, A.M., Smirnov, V.K., and Ustinova, E.I., Generalized model of high-quality two-roll rolling: Analytical description of groove and workpiece, Trudy XI Kongressa prokatchikov (Proc. 11th Congress of Rollers), 2017, vol. 1, pp. 313–322.

  28. Levandovskii, S.A., Sinitskii, O.V., and Ruchinskaya, N.A., Experience in optimizing the shape of grooves according to the criterion of non-uniform deformation, Kalibrovochnoe Byuro, 2014, no. 3, pp. 52–80.

  29. Ayyub, B.M., Elicitation of Expert Opinions for Uncertainty and Risks, Boca Raton, Fla.: CRC Press, 2001. https://doi.org/10.1201/9781420040906

    Book  Google Scholar 

  30. Orlov, A.I., Teoriya prinyatiya reshenii. Uchebnoe posobie (Decision Making Theory: Tutorial), Moscow: Mart, 2004.

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to A. M. Mikhailenko or D. L. Shvarts.

Additional information

Translated by S. Kuznetsov

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mikhailenko, A.M., Shvarts, D.L. Concept of Optimal Bar Roll Pass Design. Report 4. Optimization of Roll Pass Design Scheme. Steel Transl. 52, 1012–1019 (2022). https://doi.org/10.3103/S0967091222110092

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0967091222110092

Keywords:

Navigation