Evaluation Method and Application of Cold Rolled Strip Flatness Quality Based on Multi-Objective Decision-Making

Flatness is a vital quality index that determines the dimensional accuracy of cold-rolled strip. This paper designs local shape wave extraction algorithm and fuzzy classification for overall flatness defect based on cosine distance. By introducing small displacement buckling theory thin plates, plate stress model waves studied, critical elongation difference under given conditions are obtained. Finally, using multi-objective decision-making evaluation method, comprehensive established. The applied to actual cold rolling production. on-site data used verify determination both locally overall. results show can accurately identify defects strips, realizes accurate identification quality, provides strong support optimization process parameters improvement strip products.