The main aim of the present work is to experimentally evaluate the deep drawing behaviour of adhesive bonded sheets at different adhesive properties and predict the same using finite element simulations. The deep drawing quality steel and SS316L stainless steel are used as base materials for experiments and simulations. The deep drawing behaviour is also predicted using available analytical equations and proposed semi-empirical equations. Such predictions are validated with experimental results.It is observed that due to increased plasticity of adhesive layer, the hardener rich formulation of adhesive improves the deep drawability of adhesive bonded blanks. The presence of carbon black in the adhesive has improved the drawability of bonded sheets up to a certain limit, say 2% by weight in the present work. The deep drawing behaviour predicted either by approach 1 (by giving experimentally evaluated adhesive properties as input) and by approach 2 (adhesive properties evaluated from rule of mixtures) are almost same, which indicates that both the methods can be used for forming behaviour prediction. The deep drawability predictions are moderately accurate with respect to experimental observation. The accuracy of analytical models for maximum load predictions is encouraging while comparing it with experimental results and numerical predictions. The proposed semi-empirical equations show promising results to obtain initial estimate about the load-progression behaviour of bonded sheets.
Dr. Satheeshkumar V and R. Narayanan, G., “Experimental evaluation and prediction of deep drawability of adhesive bonded steel sheets”, Materialwissenschaft und Werkstofftechnik, vol. 46, pp. 713–735, 2015.