This paper deals with the statistical analysis of the characteristics of plastic deformation to make clear the relationship between the rolling conditions and the surface roughness on the dull-finished cold rolling steel strip. The rolling experiments are carried out under a 33-factorial design of the rolling conditions which are the gap of the work rolls, the number of the rolling passes and the speed of the back-up roll. Using the cluster analysis jointly with the multiple regression analysis and the stationary stochastic process analysis, the followings become clear. The surface roughness and the mean slope of asperities are influenced by the rolling conditions in the order, the gap of the work rolls, the number of the rolling passes, the speed of the back-up roll. In the case of the same rolling condition, it can be generally considered that the valley of surface height deforms more than the peak of it. Also, the non-dimensional plasticity index is proposed to estimate the probability of plastic deformation of surface roughness under the rolling process.
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