A Comparative Evaluation of Predictive Models of the Flat Rolling Process

  • Máté Szűcs
    Affiliation

    Institute of Physical Metallurgy, Metal forming and Nanotechnology, Faculty of Materials Science and Engineering, University of Miskolc, Hungary

  • György Krállics
    Affiliation

    Institute of Physical Metallurgy, Metal forming and Nanotechnology, Faculty of Materials Science and Engineering, University of Miskolc, Hungary

  • John Lenard
    Affiliation

    Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, University of Waterloo, Canada

Abstract

The predictive abilities of several mathematical models of the cold, flat rolling process are tested by comparing their predictions to experimental measurements. The models include an empirical model, a one-dimensional model, a finite element model and an upper bound model. The coefficient of friction and the friction factor are first determined by the inverse approach, using the model deemed to be the most comprehensive. The effects of including or excluding an account of roll flattening, using elastic-plastic or rigid-plastic strips, and constant or velocity dependent coefficients of friction or friction factors are examined.

Keywords: flat rolling, mathematical models, coefficient of friction, friction factor
Published online
2018-02-15
How to Cite
Szűcs, M., Krállics, G., Lenard, J. “A Comparative Evaluation of Predictive Models of the Flat Rolling Process”, Periodica Polytechnica Mechanical Engineering, 62(2), pp. 165-172, 2018. https://doi.org/10.3311/PPme.11847
Section
Articles