Research on On-line Monitoring of Service Status of Hot Rolled Work Rolls and On-line Decision-making Method for Active Remanufacturing

doi:10.3901/JME.2024.24.056

Abstract

Abstract: Performance and uncertain timeline to retirement affect efficiency and cost of work roll remanufacturing, which is beneficial for economy, environment and society. Investigates performance degradation of high-speed steel work rolls in the simulated rolling process. It presents an indicator set including hardness, wear amount, abrasion resistance, and surface roughness, illustrating harm to the work rolls and rolling. Based on the set and Beta-earth mover’s distance(Beta-EMD), it proposes a comprehensive health indicator(HI) of work roll, illustrating running-in, stable degradation and rapid deterioration. According to detection of Ville turning point, it becomes clear to remanufacture the hot work rolls. According to the Hilbert spectrum of the eddy current signals on the surface of the work rolls and the mapping models of degradation and HI, it is possible to conduct online monitoring of performance degradation of the high-speed steel work rolls, perform quantitative characterization and determine remanufacturing.

Key words: work roll pulsed, Beta-EMD method, healthy indicator, on-line monitoring, remanufacturing timing

CLC Number:

TG156

SONG Shouxu, ZHANG Yuhao, WEI Chen, LI Xiang, XU Rui. Research on On-line Monitoring of Service Status of Hot Rolled Work Rolls and On-line Decision-making Method for Active Remanufacturing[J]. Journal of Mechanical Engineering, 2024, 60(24): 56-65.

References

[1] SINGH G，SINGH P K. Effect of process parameters on roll separating force，driving torque and end crop length during grooved hot rolling of SAE 1020 steel[J]. Journal of Manufacturing Processes，2022，79：1003-1016.
[2] HU K J，XIA Y M，ZHU F X，et al. Evaluation of thermal breakage in bimetallic work roll considering heat treated residual stress combined with thermal stress during hot rolling[J]. Steel Research International，2018，89：1-8.
[3] DONG Q，WANG Z，HE Y，et al. The effect of shifting modes on work roll wear in strip steel hot rolling process[J]. Ironmaking & Steelmaking，2023，50(1)：67-74.
[4] WEIDLICH F，BRAGA A P V，LIMA L G D B，et al. The influence of rolling mill process parameters on roll thermal fatigue[J]. The International Journal of Advanced Manufacturing Technology，2019，102：2159-2171.
[5] WU S，XING W，LIU Y，et al. Research on dynamic characteristics and identification method of local defect on the roll surface[J]. Engineering Failure Analysis，2021，121：105063.
[6] LI G，LIU J，JIANG G，et al. Numerical simulation of temperature field and thermal stress field in the new type of ladle with the nanometer adiabatic material[J]. Advances in Mechanical Engineering，2015，7(4)：1-13.
[7] 范沁红，马立峰，赵镇波，等. 镁合金轧制热流体式控温轧辊温度变化规律研究[J]. 机械工程学报，2022，58(8)：143-152.FAN Qinhong，MA Lifeng，ZHAO Zhenbo，et al. Temperature variation of internal oil flowing temperature-control roller for Mg alloy rolling[J]. Journal of Mechanical Engineering，2022，58(8)：143-152.
[8] GARZA-MONTES-DE-OCA N F，COLÁS R，RAINFORTH W M. On the damage of a work roll grade high speed steel by thermal cycling[J]. Engineering Failure Analysis，2011，18(6)：1576-1583.
[9] XU L，SONG W，MA S，et al. Effect of slippage rate on frictional wear behaviors of high-speed steel with dual-scale tungsten carbides (M6C) under high-pressure sliding-rolling condition[J]. Tribology International，2021，154：106719.
[10] DENG G Y，ZHU H T，TIEU A K，et al. Theoretical and experimental investigation of thermal and oxidation behaviours of a high speed steel work roll during hot rolling[J]. International Journal of Mechanical Sciences，2017，131：811-826.
[11] DENG G Y，ZHU Q，TIEU K，et al. Evolution of microstructure，temperature and stress in a high speed steel work roll during hot rolling： Experiment and modelling[J]. Journal of Materials Processing Technology，2017，240：200-208.
[12] XU L，SONG W，MA S，et al. Effect of slippage rate on frictional wear behaviors of high-speed steel with dual-scale tungsten carbides (M6C) under high-pressure sliding-rolling condition[J]. Tribology International，2021，154：106719.
[13] SUN C G，HWANG S M，YUN C S，et al. Investigation of thermomechanical behavior of a work roll and of roll life in hot strip rolling[J]. Metallurgical and Materials Transactions A，1998，29：2407-2424.
[14] 宋守许，郁炯，蔚辰，等. 考虑多辊修磨关系的轧辊主动再制造设计方法[J]. 机械工程学报，2022，58(13)：203-212.SONG Shouxu，YU Jiong，WEI Chen，et al. Predecisional remanufacturing design method of rolls considering multi-roll repair and grinding relationship[J]. Journal of Mechanical Engineering，2022，58(13)：203-212.
[15] RYU K S，NAHM S H，KIM Y B，et al. Dependence of magnetic properties on isothermal heat treatment time for 1Cr–1Mo–0.25 V steel[J]. Journal of Magnetism and Magnetic Materials，2000，222(1-2)：128-132.
[16] LIM H B，YANG H I，KIM C W. Analysis of the roll hunting force due to hardness in a hot rolling process[J]. Journal of Mechanical Science & Technology，2019，33(8)：3783-3793.
[17] DELAUNOIS F，STANCIU V I，MEGRET A，et al. Oxidation and wear behavior of high-speed steel and semi-high-speed steel used in hot strip mill[J]. The International Journal of Advanced Manufacturing Technology，2022，119(1-2)：677-689.
[18] BATAILLE C，LUC E，BIGERRELLE M，et al. Rolls wear characterization in hot rolling process[J]. Tribology International，2016，100：328-337.
[19] RUBNER Y，TOMASI C，GUIBAS L J. The earth mover's distance as a metric for image retrieval[J]. International Journal of Computer Vision，2000，40(2)：99.
[20] 宋守许，汪志全，蔚辰. 基于在线监测的曲轴主动再制造时机识别[J]. 现代制造工程，2020，47(8)：7-12.SONG Shouxu，WANG Zhiquan，WEI Chen. Timing recognition of crankshaft predecisional remanufacturing based on online monitoring[J]. Modern Manufacturing Engineering，2020，47(8)：7-12.
[21] FERMIN-CUETO P，MCTURK E，ALLERHAND M，et al. Identification and machine learning prediction of knee-point and knee-onset in capacity degradation curves of lithium-ion cells[J]. Energy and AI，2020，1：100006.