Multi-Level Optimization of Tube Hydroforming Process

Abstract

In tube hydroforming, the loading path that is the relationship between axial feeding displacement and the internal fluid pressure is major significance. Researchers have employed various optimization approaches to find a better loading path. In this research a statistical method based on finite element analysis has been used. An accurate FEA has been used to simulate the process and find the response of the process to the loadings. The Response Surface Method (RSM) has been used to model the responses from the finite element analysis. The behaviour of the process can be predicted using this model. The optimization of the process is then applied to the model. The thickness variance has been considered as the objective function and the bulge height as the constraint. The optimum loading path found which satisfactory results