Predicting the deep drawing behavior of adhesive bonded sheets using equivalent geometrical heterogeneities

Abstract

In the present study, a simplified approach for predicting the deep drawing behavior of adhesive bonded steel blanks using initial geometrical heterogeneities is proposed. In the proposed approach, the influence of adhesive properties on deep drawing behavior of adhesive bonded blanks is predicted by designing and identifying the equivalent geometrical heterogeneities in the base materials constituting adhesive bonded blanks. Thus, the usual practice of representation of adhesive layer and its properties during modeling simulation is eliminated. This approach would help us to overcome the difficulties while incorporating adhesion/adhesive properties during deep drawing simulation. A set of thickness heterogeneity factor ‘[Formula: see text]’ has been used to predict the effect of hardener to resin (H/R) ratio of adhesive. For instance, in the case of circular-finite groove with diameter of 60[Formula: see text]mm, it is identified that the cup height during deep drawing evaluated at [Formula: see text], 0.729, 0.666, 0.666 and 0.595 is equivalent to H/R ratios of 0.6:1, 0.7:1, 0.8:1, 0.9:1 and 1:1 of adhesive, respectively. In other words, different adhesive properties are equivalent to different thickness heterogeneity factors ‘[Formula: see text]’ that should be identified in order to predict the deep drawing behavior of adhesive bonded sheets.