Accordingly, the process optimization is performed in three sequential steps. Initially, the process is characterized by the material flow stress and the friction between a tube and die. Subsequently, this information is used to develop a finite element method (FEM) model, which is validated based on experimental data.
Loading path optimization of tube hydroforming process Oct 01, 2005 · Optimization methods along with finite element simulations were utilized to determine the optimum loading paths for closed-die and T-joint tube hydroforming processes. The objective was to produce a part with minimum thickness variation while keeping the maximum effective stress below the material ultimate stress during the forming process.
Aug 05, 2020 · In this blog post, we will be discussing about metal tube hydroforming with Abaqus. We will be using forming limit diagrams to create the material's strain envelope, for avoiding necking (rupture), a possible failure mode, in this type of metal forming process. This will be demonstrated in a hydroforming process simulation of a metal bellows joint.
Multi-objective optimization and sensitivity analysis of optimum loading paths for closed-die and T-joint tube hydroforming. It was shown that the optimum loading path yields a better conformance of the part to the die shape. Bonte et al.  summarized the most widely used optimization methods in metal forming applications from more than 60 published references and proposed a general
Multi-objective optimization of forming parameters for In this work, a free bulging tube hydroforming process is employed to find the optimal forming parameters combination for the highest bulge ratio and the lowest thinning ratio. A multi-objective optimization approach is proposed by simultaneously maximizing the bulge ratio and minimizing the thinning ratio.
optimization process of tube hydroforming using a virtual-database-assisted fuzzy control system to determine the forming parameters . Also, Jansson et al. (2007) proposed an adaptive optimization method based on the use of response surface methods . In addition, Abedrabbo et al. (2009) used genetic algorithm (GA) search methods using
Optimization of Tube Hydroforming Process Using Simulated Jan 01, 2011 · Fann and Hsiao (2003) used the conjugate gradient optimization method to optimize a T-shaped tube using LS-DYNA . Bing Li et al. (2005) used a multi-objective optimization method and studied the effects of forming parameters on tube hydroforming process by finite element analysis and Taguchi method .
Optimization of a Tube Hydroforming ProcessAn approach is presented to optimize a tube hydroforming process using a Genetic Algorithm (GA) search method. The goal of the study is to maximize formability by identifying the optimal internal hydraulic pressure and feed rate while satisfying the forming limit diagram (FLD). The optimization
This paper deals with the optimization of tube hydroforming parameters in order to reduce defects that may occur at the end of the forming process such as necking and wrinkling.(PDF) Optimization of a Tube Hydroforming Process Ron An approach is presented to optimize a tube hydroforming process using a Genetic Algorithm (GA) search method. The goal of the study is to maximize formability by identifying the optimal internal hydraulic pressure and feed rate while satisfying the forming limit diagram (FLD).