Surrogate Assisted Teaching Learning Based Optimisation for Process Design of a Non-circular Drawing Sequence

Abstract

In this study, surrogate assisted teaching learning based optimisation was conducted for designing a non-circular drawing (NCD) sequence in order to improve the deformation homogeneity of the drawn wire. The objective function was introduced to minimise inhomogeneous distribution of effective strain atthe cross-section of the drawn wire by selecting the design variables such as major to minor axes ratio, semi-die angle, and reduction ofarea. Three surrogate models were used to predict the effective strains atthe cross-section of the drawn wire while the teaching learning based optimiser was used to obtain the optimum results. Finite element analysis was employed for simulation of the NCD sequence in order to determine accurate effective strain distribution. The accuracy of all surrogate models was investigated while optimum results were compared with the previous studies available in the literature. The optimum results found in the present study showed better effective strain homogeneity at the cross-section of the drawn wire with the same total reduction of the area available in the literature for the less number of passes.