DIAGNOSIS OF THE ELECTRIC DRIVE OF THE DISCHARGE ROLLER CONVEYOR OF A WIDE-STRIP HOT MILL

Authors

  • R.S. Pishnograev NPO Technoap LLC, Magnitogorsk, Russia
  • S.I. Lukyanov Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia
  • O.S. Logunova Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia
  • N.V. Shvidchenko Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia
  • D.V. Shvidchenko NPO Technoap LLC, Magnitogorsk, Russia

DOI:

https://doi.org/10.14529/power220109

Keywords:

electric drive of the rollers of the diverting roller table, broadband hot rolling mill, faults of the electric drive, diagnostic signs, diagnostic system

Abstract

Abstract. The purpose of the study is to develop an automated system for technical diagnostics of the state and
regulation of the electric drive of the rollers of the collector roller table at a wide hot rolling mill based on change in
the load currents of the rollers electric motors. The system allows the quality of finished rolled products and the productivity of the mill to be enhanced due to the timely detection of faulty equipment and its rapid replacement based on
the results of diagnostics. The following methods of diagnostics of the electric drive of the diverting roller table and its
possible malfunctions which can negatively affect the quality of the finished rolled products were analyzed: experimental identification of the relation of the forms of change in the load currents of the electric motors of the rollers with specific types of malfunctions; determination of diagnostic signs of malfunctions in the values of change in the load currents of the electric motors of the rollers; creation of a mathematical model for calculating the forces of strip transportation; development of methods and algorithms for technical diagnostics of the electric drive of the collector roller table
based on characteristics of change in the load currents of the electric motors of the rollers; development of a generalized
algorithm for the operation of the automated technical diagnostics system; experimental evaluation of the effectiveness
of the proposed methods and algorithms for diagnostics on the operating mill. Analytical methods of solving algebraic
and differential equations and systems were used in the study. As a result of the research, the technical effectiveness of
the methods and algorithms developed to diagnose the eccentricity of the roller barrel of the diverting roller table, malfunctioning of the brush-collector device of the roller electric motor, the destruction of the couplings in the roller electric drive line, malfunctioning of the bearing units in the roller electric drive line or the roller sides, the correct alignment of the roller relative to the technological plane of the diverting roller was experimentally confirmed. The diagnostic methods and algorithms developed can be used to create diagnostic systems for electric drives of diverting roller
table at operating mills during their reconstruction, as well as at newly built mills. The system thus developed was
installed at the industrial plant's 2000 hot rolling mill.

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References

Kavun D.E., Sviridenko V.V., Rubtsov V.Y. Production of New Types of Rolled Products – Customer Focus. Metallurgist. 2020;64(5-6): 514–521. DOI: 10.1007/s11015-020-01021-9

Luo Q., Fang X., Su J., Zhou J., Zhou B., Yang C., Liu L., Gui W., Tian L., Automated Visual Defect Classification for Flat Steel Surface: A Survey. IEEE Transactions on Instrumentation and Measurement.

;69(12):9329–9349. DOI: 10.1109/tim.2020.3030167

Mentouri Z., Moussaoui A., Boudjehem D., Doghmane, H. Steel Strip Surface Defect Identification using

Multiresolution Binarized Image Features. Journal of Failure Analysis and Prevention. 2020;20(6):1917–1927.

DOI: 10.1007/s11668-020-01012-7

Gao Z., Bai L., Li Q. Research on Critical Rolling Speed of Self-excited Vibration in the Tandem Rolling

Process of Thin Strip. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering. 2017;53(12):118–132. DOI:

3901/jme.2017.12.118

Jeong C.S., Park J.H., Han S.I., Kim J.S. Shape recognition performance analysis and improvement in

Sendzimir rolling mills. Journal of Mechanical Science and Technology. 2014;28(4):1455–1463. DOI:

1007/s12206-013-0965-2

Rednikov S.N., Akhmedyanova E.N., Zakirov D.M. Experience in Using Combined Diagnostic Systems

for Assessing State of Metallurgical Equipment. In: Proceedings – 2018 Global Smart Industry Conference,

GloSIC 2018; 2018. DOI: 10.1109/glosic.2018.8570148

Top-7 rossiyskikh proizvoditeley stal’noy metalloproduktsii po itogam 2018 goda [Top seven Russian Steel

Producers for 2018]. URL: https://metallobazy.ru/news/532 (accessed: 22.12.2020) (In Russ.)

He H., Liu Y., Yang Q., Wang X., Wang S., Wang Q. Symmetry variable taper work roll technology for

silicon steel profile control in hot strip mills. Ironmaking and Steelmaking. 2020;47(6):587–595. DOI:

1080/03019233.2019.1585098

Kozhevnikov A.V., Smirnov A.S., Kozhevnikova I.A., Antonov P.V., Zhilenko S.V., Aralov A.I. Investigation of Self-Oscillations and the Development of a Procedure of Stabilization of the Process in a Continuous Mill

for Strip Cold Rolling. Metallurgist. 2020;64(7-8): 770–779. DOI: 10.1007/s11015-020-01053-1

Pang Y., Lin P., Sun Q., Zhang Z., Liu D. Experimental and numerical analyses of 45 steel during three

dimensional severe plastic deformation (3D-SPD). Archives of Civil and Mechanical Engineering. 2020;20(4).

DOI: 10.1007/s43452-020-00110-5

Pili R., García Martínez L., Wieland C., Spliethoff H. Techno-economic potential of waste heat recovery

from German energy-intensive industry with Organic Rankine Cycle technology. Renewable and Sustainable

Energy Reviews. 2020;134. DOI: 10.1016/j.rser.2020.110324

Rubcov V.J., Shevchenko O.I., Spirina, A.S., Pankova N.A. Research into in-service deterioration of ballrolling rolls. In: IOP Conference Series: Materials Science and Engineering 2020; 2020. DOI: 10.1088/1757-

x/966/1/012069

Samodurova M.N., Karandaeva, O.I., Khramshin, V.R. And Liubimov, I.V. Calculating power parameters

of rolling mill based on model of deformation zone with four-roll passes. Machines. 2020;8(4):1–22. DOI:

3390/machines8040073

Kukhta Y.B., Logunova O.S., Egorova L.G., Torchinsky V.E., Belyavsky A.B., Romanov P.Y. Modelling

the barrel body wear of the backup roll: mathematical model and software implementation. International Journal

of Advanced Manufacturing Technology. 2018;97(1-4):1363–1370. DOI: 10.1007/s00170-018-2058-y

Salganik V.M., Poletskov P.P., Kukhta Y.B., Kozhushkov E.Y., Kazakov, O.V. Improving the shape and

flatness of hot-rolled strip by means of profil 2500 software. Steel in Translation. 2008;38(7):571–573. DOI:

3103/s096709120807019x

Jayakumar K. Quality Assessment Studies on AA7075 Plate in Hot Rolling Process; 2021.

Jeng Y., Lee J., Hwu Y., Liu L., Lu C. Effects of operation parameters of cold rolling on surface finish of

aluminum. Tribology International. 2020:148. DOI: 10.1016/j.triboint.2020.106321

Luo Q., Fang X., Su J., Zhou J., Zhou B., Yang C., Liu L., Gui W., Tian L. Automated Visual Defect

Classification for Flat Steel Surface: A Survey. IEEE Transactions on Instrumentation and Measurement.

;69(12):9329–9349. DOI: 10.1109/tim.2020.3030167

Mentouri Z., Moussaoui A., Boudjehem D., Doghmane H. Steel Strip Surface Defect Identification using

Multiresolution Binarized Image Features. Journal of Failure Analysis and Prevention. 2020;20(6):1917–1927.

DOI: 10.1007/s11668-020-01012-7

Logunova O.S., Matsko I.I., Posohov I.A., Luk’ynov S.I. Automatic system for intelligent support of continuous cast billet production control processes. International Journal of Advanced Manufacturing Technology.

;74(9-12):1407–1418. DOI: 10.1007/s00170-014-6056-4

Tutarova V.D., Logunova O.S. Surface temperature analysis of continuously cast ingot outside air/water

cooling zone. Steel in Translation. 1998;28(8): 18–20.

Luk’yanov S.I., Suspitsyn E.S., Krasilnikov S.S., Shvidchenko D.V. Intelligent system for prediction of

liquid metal breakouts under a mold of slab continuous casting machines. International Journal of Advanced

Manufacturing Technology. 2015;79(9-12):1861–1868. DOI: 10.1007/s00170-015-6945-1

Luk'yanov S.I., Suspitsyn, E.S., Krasil'nikov S.S., Konovalov M.V. Diagnosing technological defects in

continuous slab casters. Metallurgist. 2014;58(3-4):310–315. DOI: 10.1007/s11015-014-9907-1

Vasiliev A.E., Lukyanov S.I., Logunova, O.S., Karyakin A.L. Improving the quality of continuously cast

slabs: by means of the pinch roll drive of the horizontal part of a continuous casting machine. International Journal of Advanced Manufacturing Technology. 2018;96(1-4). DOI: 10.1007/s00170-018-1614-9

Luk’yanov S.I., Shvidchenko N.V., Krasilnikov S.S., Shvidchenko D.V., Konovalov M.V. Optimizing

speed of a run-out table of the hot strip mill. International Journal of Advanced Manufacturing Technology.

;105(1-4):1675–1684. DOI: 10.1007/s00170-019-04324-7

Published

2022-02-15

How to Cite

[1]
Pishnograev, R., Lukyanov, S., Logunova, O., Shvidchenko, N. and Shvidchenko, D. 2022. DIAGNOSIS OF THE ELECTRIC DRIVE OF THE DISCHARGE ROLLER CONVEYOR OF A WIDE-STRIP HOT MILL. Bulletin of the South Ural State University series "Power Engineering". 22, 1 (Feb. 2022), 78–88. DOI:https://doi.org/10.14529/power220109.