Experimental investigation and optimal analysis of the high-velocity forming process of bilayer plates

The objective of this paper is an experimental investigation and numerical modelling of large plastic deformation of metallic-polymeric bilayer plates under gas mixture detonation load. For this, gas detonation forming apparatus was used in the experimental section to perform 40 experiments under various experimental conditions. The experimental results include the effect of impulse value, thickness of the metal plate and polymeric coating and areal density on the maximum permanent transverse deflection of bilayer plates. In the modelling section, multi-objective optimal design of training data and evaluation the prediction capability of the obtained model has been achieved by adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm. In proceeding of multi-objective optimization procedure from the aspect of two objective functions, a set of optimum non-dominated points, namely, Pareto front was constructed considering as designing points. The application of the genetic algorithm is the optimum design of Gaussian membership function parameters in preceding and least square method for calculation of linear coefficient vectors in the consequent part of the neuro-fuzzy structure. The evaluation of the accuracy of the proposed model has been investigated by comparing the experimental results with modeling data sets using the coefficient of determination (R2) and root-mean-square error for training and prediction data sets.