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Hydroforming

About: Hydroforming is a research topic. Over the lifetime, 2796 publications have been published within this topic receiving 26293 citations. The topic is also known as: Bulge forming.


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Journal ArticleDOI
TL;DR: In this article, a self-designed bulge forming machine is manufactured to perform tubular bulge tests and tensile tests are carried out on specimens cut from the tube to measure the Lankford anisotropy coefficients.

50 citations

Journal ArticleDOI
TL;DR: In this paper, the authors describe the principles involved in the design of load-curves for the simulation and production of a component part using internal high pressure (IHP) forming, which involves the use of internal pressure and axial loads to reshape components in a specially designed die piece.

50 citations

Journal ArticleDOI
TL;DR: In this article, a new approach to tube bulge test is described, which is related to the fact that the tube ends are blocked and so the equilibrium expression in axial direction normally used to calculate stresses is no more valid.

50 citations

Journal ArticleDOI
K.-H. Lee1, D.-H. Kang1
01 Dec 2007
TL;DR: In this paper, the kriging interpolation method and a simulated annealing algorithm are applied in the design of a front door made by TWB technology, and the design variables were the thicknesses of the parts and the positions of the parting lines.
Abstract: Weight reduction of automobile components has been sought to achieve fuel efficiency and energy conservation. There are two approaches for weight reduction: use of materials lighter than steel and structural redesign. The latter has been performed by adopting hydroforming, tailor-welded blank (TWB) technology, optimization, etc. In this research, the kriging interpolation method and a simulated annealing algorithm are applied in the design of a front door made by TWB technology. The design variables were the thicknesses of the parts and the positions of the parting lines. A thickness set, considered as a candidate design of each part, is not arbitrarily determined, but selected from the thicknesses of standard products, and so it is a discrete set. This research presents the discrete and continuous structural optimization of an automotive door design.

49 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compare two metamodeling techniques to solve the problem efficiently: the response surface method and the least squares support vector regression, and then, multi-objective optimisation problem is formulated to search for the Pareto optimal solutions.
Abstract: Tube hydroforming process is widely used in various industrial applications which consists of combining internal pressure and axial displacement to manufacture tubular parts. Inappropriate choice as small changes in such variables may affect the process stability and, in some cases, lead to failure. Consequently, loading path should be optimised to better control the process and to guarantee hydroformed parts with desired specifications. However, optimisation procedure requires several evaluations of the real models which induces a huge computational time. To cope with this limitation, we propose to compare two metamodelling techniques to solve the problem efficiently: the response surface method and the least squares support vector regression. To enhance the metamodels precision, optimal latin hypercube design is used to generate sampled points. It is obtained through iterative optimisation procedure based on a modified version of the simulated annealing algorithm by minimising simultaneously two optimality criterions. Then, multi-objective optimisation problem is formulated to search for the Pareto optimal solutions. Fuzzy classification is then applied to rank the non-dominated solutions which helps designers in the decision-making phase. Before optimising the process, a global sensitivity analysis is carried out using the variance-based method by coupling metamodels and Monte Carlo simulations in order to identify the relative importance of the design variables in terms of internal pressure and axial displacement on the variance of the responses of interest defined to control the process.

49 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202330
202298
202158
202087
201981
201895