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Título

ROUGHNESS TRANSFER MODEL BASED ON MONTE CARLO METHOD: APPLICATION TO STEEL SHEET TEMPER ROLLING CONDITIONS

Autoria

LEGRAND, Nicolas; COUNHAYE, Christian; SOUTO, Nelson; EARLEY, Don; SZIDON, Matt

DOI

10.5151/9785-9785-32504

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Resumo

 

In temper cold rolling processes, roughness transfer remains one important quality aspect for sheet and tin plate steel products. An existing roughness transfer model [1] able to predict the usual roughness parameters related to peak height distribution (Rq, Ra, Rsk, Rku) has been completed in the present work with the prediction of peak counts distribution RPc (number of peaks on the strip/cm). This new modeling development is driven by the automotive industry that requires higher and higher peak counts RPc (> 75 peaks/cm) on steel sheets in addition to the usual average roughness Ra to maintain a good strip surface finish after painting. The model that is currently only valid for uncoated materials is based on the Monte Carlo method to generate randomly roughness transfer profiles on roll and strip. Two major mechanisms involved in the roughness transfer are considered: the asperity crushing mechanism (crushing roll into the strip) and the asperity plowing mechanism due to roll-strip sliding in the bite. Measurements of strip and roll roughness were carried out before and after temper rolling to calibrate the model and evaluate its ability to predict roughness evolution in various temper rolling conditions: new and worn work rolls, different strip elongations, hard and soft steel grades. Finally using the calibrated model, different process actuators were identified with the goal to maximize final strip peak counts (RPc) while maintaining average roughness (Ra) on the strip within customer tolerances. The work is concluded with the new developments needed to extend the model to coated steel sheets. References [1] Roughness Transfer Model for Cold and Temper Rolling Processes, N. Legrand, C. Counhaye, D. Oliveira, 10th International Rolling Conference, June 06-09 2016, Graz (Austria)

Palavras-chave

Cold rolling, TEMPER ROLLING, ROUGHNESS TRANSFER, ABBOTT CURVE, PEAK COUNT, Monte Carlo method