The present paper deals with a sequential fluid structure strong coupling approach in order to solution the roughness prediction. The cold rolling model involves the strip with its asperities, the lubricant and the working roll. The strip asperities are modelled in 2D (trapezoidal shape) forming valleys and plateaus. Fluid flow rate between each valley full of lubricant is solved using Reynolds equations. Thus, the volume of lubricant trapped and its pressure are updated on the cold rolling model. During computations, the asperity is deformed from the entry to the exit to obtain its final shape. Global parameters such as front, back tensions, speeds are taken into account but also rheological (fluid, solid) and tribological behaviours.
Good surface finish is an important requirement for many stainless steel products essentially in terms of brightness. This article deals with an original numerical approach proposed in order to better control workpiece roughness during cold rolling. As a first step, to supply the numerical model, the blasted strip rheology is identified using an inverse finite element methodology based on Vickers indentations. As a second step, a fluid-structure strong coupling model is proposed to determine the flattening of steel strip asperities during the first passes of a cold rolling sequence. Fluid flowrate between each valley is solved using local Reynolds' equations. The volume of the lubricant trapped and its pressure are updated on the cold rolling model. At the same time, asperities are deformed from the entry to the exit to reach their final shape. Roughness sensitivity to the industrial process parameters, to the rheological parameters, and to the lubricant rheology is discussed.
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