Developing a work roll model by analyzing the mechanism influence through analytic calculation

• Autorzy: Al Mohammed Hussein Mohammed Ali

Identyfikatory

DOI

10.59441/ijame/172979

• Języki publikacji: EN

Abstrakty

EN

This paper presents a novel approach to developing a work roll prediction model that takes into account both the mechanism and condition influences on work roll wear. This was accomplished by conducting an analytic calculation of work roll mechanism influence, constructing a work roll wear model, and combining the wear mechanism with actual wear data. The resulting model is applicable to both symmetric and asymmetric wear of the work roll, and experimental results showed that the relative error between measured and predicted values was less than 5%, with a maximum error of below 15%. This level of accuracy is sufficient for predicting roll wear and lays the foundation for improved strip shape control and roll design. Furthermore, this approach has the potential to generate significant economic benefits and has wide-ranging applications.

Słowa kluczowe

EN

wear; mechanism; developing model; work roll

PL

zużycie; mechanizm; walec roboczy

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mechanics and Engineering
• Rocznik: 2023
• Tom: Vol. 28, no. 4
• Strony: 1--9
• Opis fizyczny: Bibliogr. 13 poz., wykr.

Twórcy

autor

Al Mohammed Hussein Mohammed Ali

• Mechanical Engineering; Department of Power Mechanic Techniques Engineering, Technical Engineering College of Mosul, North Technical University, Mosul, IRAQ

Bibliografia

• [1] Jiang Z., Wei D. and Li H. (2008): Contact mechanic in strip cold rolling.– Journal of Plasticity Engineering, vol.3, No.15, pp.164-174.
• [2] Chen L., Huang C. and Lian J. (2002): Measurement and analysis of roller wear in hot rolling mill.– Steel, vol.1, No.19, pp.23-25.
• [3] Chen L. and Lian J. (2001): Calculation theory of roller wear in finishing rolling of hot steel.– Journal of Hebei Polytechnic College, vol.1, No.23, pp.24-28.
• [4] Fu H., Li C. and Liu X. (2003): Research of mathematical model of roller wear in cold rolling.– Research on Iron and Steel, vol.4, pp.26-29.
• [5] Wen S. (1990): Tribological Principle.– Tsinghua University press, Beijing.
• [6] Zou J. (1986): Prediction calculation of roller wear.– Steel, vol.7, No.21, pp.23-27.
• [7] Lian J. and Liu H. (1995): Gauge and shape control.– Weapon Industry Press, Beijing.
• [8] Cao H. (1979): The mechanical foundation of plastic deformation and rolling principles.– China Machine Press, Beijing.
• [9] Chen L. (1985): Mechanical optimization design method.– Metallurgical Industry Press.
• [10] Wang Q., Zhu Y., Gao R. and Zhao Y. (2012): theoretical study of the dynamic effects based on work roll model in metal sheet rolling process.– Advanced Materials Research, vol.538-541, pp.595-600.
• [11] Natalia V., Elmira F. and Alexandr F. (2021): Big data as a tool for building a predictive model of mill roll wear.– Symmetry, vol.13, No.5, p.859.
• [12] Mekicha M., De Rooig M., Jacobs L., Matthews W. and Schipper D. (2021): Understanding the generation of wear particles in cold rolling processes.– Tribology International, vol.155, p.106789.
• [13] Gonçalves J., de Mello J. and Costa H. (2019): Wear in cold rolling milling rolls: a methodological approach.– Wear, vol.426-427, pp.1523-1535.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024)