Internal pressure and counterpunch action design in Y-shaped tube hydroforming processes: A multi-objective optimisation approach

Ingarao, Giuseppe; Lorenzo, Rosa Di; Micari, F.

doi:10.1016/j.compstruc.2009.02.003

Cited by 40 publications

(21 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Brooghani et al [26] optimized the loading path for T-shape THF process using multi-level RSM. RSM-based multi-objective optimization of the loading path for THF process is studied in [27][28][29]. The use of RSM to analysis THF process can be referred to [30,31].…”

Section: Introductionmentioning

confidence: 99%

The multi-objective optimization of the loading paths for T-shape tube hydroforming using adaptive support vector regression

Huang

Song

Liu

2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The objective of this study is to introduce adaptive support vector regression, whose accuracy and efficiency are illustrated through a numerical example, to determine the Pareto optimal solution set for T-shape tube hydroforming process. A validated finite element model developed by the explicit finite element code LS-DYNA is used to conduct virtual T-shape tube hydroforming experiments. Multiobjective optimization problem considering contact area between the tube and counter punch, maximum thinning ratio, and protrusion height is formulated. Then, the Latin hypercube design is employed to construct the initial support vector regression model, and some extra sampling points are added to reconstruct the support vector regression model to obtain the Pareto optimal solution set during each iteration. Finally, the ideal point is used to obtain a compromise solution from the Pareto optimal solution set for the engineers.

show abstract

Section: Introductionmentioning

confidence: 99%

The multi-objective optimization of the loading paths for T-shape tube hydroforming using adaptive support vector regression

Huang

Song

Liu

2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…The solution of such optimisation problem has to reach design variables values guaranteeing the optimisation of the two objectives. Such kind of problem may be solved through a multi-objective approach, considering the conflicting behaviour of the goals, and the authors have experi-enced the usefulness of such approaches [43]. Nevertheless, the problem here addressed was managed utilising an objective function consisting of two terms: the former is the maximum thinning on the tube walls (t%, which is related to the aim to reduce bursting danger) and the latter measuring the difference between the desired Y-region volume and the obtained one (u, measuring a sort of underfilling with respect to an objective Y-shape).…”

Section: The Analysed Y-shaped Tube Hydroforming Operationmentioning

confidence: 99%

Integration of gradient based and response surface methods to develop a cascade optimisation strategy for Y-shaped tube hydroforming process design

Lorenzo

Ingarao

Chinesta

2010

Advances in Engineering Software

Self Cite

View full text Add to dashboard Cite

In the last years a strong research effort was produced in order to develop and design new forming technologies able to overcome the typical drawbacks of traditional forming operations. Among such new technologies, hydroforming proved to be one of the most promising. The design of tube hydroforming operations is mainly aimed to prevent bursting or buckling occurrence and such issues can be pursued only if a proper control of both material feeding history and internal pressure path during the process is performed. In this paper, a proper optimisation strategy was developed on Y-shaped tube hydroforming process which is characterized by a quite complex process mechanics with respect to axi-symmetric tube hydroforming operations. The design procedure was aimed to properly calibrate the internal pressure histories. The basic idea, in this paper, is to integrate a steepest descent method with a moving least squares approach in order to reach the optimal internal pressure curve in the hydroforming of an Y-shaped steel tube. Thus, a cascade optimisation procedure was implemented which consisted of two optimisation steps: the former is focused on the application of a steepest descent method, the latter is based on a response surface approach utilising a moving least squares approximation. The cascade procedure was driven by the will to reduce the total number of numerical simulations necessary to reach the optimum with respect to other optimisation methods

show abstract

“…Di Lorenzo et al [28] proposed a gradient decomposition method, which aimed to reduce the number of the evaluations of the FE simulation, to optimize the internal pressure and counter punch action in Y-shape THF process. Ingarao et al [29] applied the RS model and Pareto optimal solution search techniques to design a complex Yshape THF process. Imaninejad et al [30] discussed the effect of single-, double-, and quadruple-stroke axial displacement on the optimal results and the influence of the use of high and low internal pressure on the thickness variation.…”

Section: Introductionmentioning

confidence: 99%

The multi-objective robust optimization of the loading path in the T-shape tube hydroforming based on dual response surface model

Huang

Song

Liu

2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

In this study, a dual response surface model-based multi-objective robust optimization method is introduced to deal with the uncertainties in the tube hydroforming process. The objective of this study is to maximize the protrusion height and minimize the thinning ratio; meanwhile, the variations of the objectives should be minimized. A valid finite element model obtained from experimental result and LS-DYNA is employed to simulate the T-shape tube hydroforming process. To improve computation efficiency, radial basis function combined with Latin hypercube and orthogonal design sampling strategies is employed to construct dual response surface model, which are the mean and standard deviation response of the hydroforming process, respectively. The robust Pareto solutions can be obtained using NSGA-II; meanwhile, the ideal point method is used to obtain the most satisfactory solution from the Pareto solutions for the design engineers. As a conclusion, a significant improvement of the robustness can be achieved; however, the mean performance of the protrusion height has to be sacrificed.

show abstract

Internal pressure and counterpunch action design in Y-shaped tube hydroforming processes: A multi-objective optimisation approach

Cited by 40 publications

References 39 publications

The multi-objective optimization of the loading paths for T-shape tube hydroforming using adaptive support vector regression

The multi-objective optimization of the loading paths for T-shape tube hydroforming using adaptive support vector regression

Integration of gradient based and response surface methods to develop a cascade optimisation strategy for Y-shaped tube hydroforming process design

The multi-objective robust optimization of the loading path in the T-shape tube hydroforming based on dual response surface model

Contact Info

Product

Resources

About