Optimization of loading conditions for tube hydroforming

Fann, Kuang-Jau; Hsiao, Pou-Yuan

doi:10.1016/s0924-0136(03)00778-7

Cited by 87 publications

(57 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…with (F,G,H) are the parameters characterizing the current state of anisotropy If the circumferential direction is taken as a material reference, the anisotropy effect can be characterized by a single coefficient R [17] and the equation (1) becomes:…”

Section: Methodsmentioning

confidence: 99%

“…The latest studies are devoted to the mechanical and numerical modelling of the hydroforming processes using the finite element analysis [6][7][8][9][10], allowing the prediction of the material flow and optimisation of hydroforming parameters [11][12][13][14][15][16][17][18][19]. In addition, the accuracy of the numerical a Corresponding author: bouchaib.radi@yahoo.fr prediction remains linked to the fidelity models representing the behaviour of the WT and particularly the mechanical properties (plasticity metal flow, anisotropy effect and damage initiation and growth) of the base metal (BM) and the welded joint (WJ) zone [20][21].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization technics to identify the characteristics of a hydroformed structure

Radi

Cherouat

Hami

et al. 2010

Int. J. Simul. Multidisci. Des. Optim.

View full text Add to dashboard Cite

-This paper presents an experimental/numerical methodology which aims to improve 3D welded tube considering their anisotropic effect, geometrical singularities found in the welded joint, and heat affected zone behaviour by hydroforming process. This process contributes to reduce the number of welding and assembly operations needed to generate complex structures, while improving the weight saving and quality of finished parts. In spite of the advances in the performance of this manufacturing technology, some problems are linked to particularities of certain raw materials and additional studies must be developed, like in the case of welded tubes. The experimental study is dedicated to the identification of stress-strain flow of the base metal and the heat-affected zone from the global measure of tube displacement, thickness evolution and internal pressure expansion. Nanoindentation test is adapted to investigate the heat affected zone mechanical behaviour. Workpiece behaviour's models used to simulate the expansion tests, made it possible to highlight the combined effects of the inhomogeneous behaviour of basic material and heat affected zone, as well as the geometrical singularities found in the welded tubes. From the simulations carried out, it is clear the influence of the plastic flow behaviour of the welded tube in the final results (thickness distribution, stress instability, tube circularity, critical thinning and rupture).

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization technics to identify the characteristics of a hydroformed structure

Radi

Cherouat

Hami

et al. 2010

Int. J. Simul. Multidisci. Des. Optim.

View full text Add to dashboard Cite

show abstract

“…Due especially to the former advantage, iterative algorithms are quite often applied to optimise metal forming processes, see, e.g. Byon and Hwang (2001), Cao et al (2001), Debray et al (2004), Duan and Sheppard (2002), Endelt and Nielsen (2001); Endelt (2003), Fann and Hsiao (2003), Jirathearanat and Altan (2004), Kim et al (2001a, b), Kleinermann (2001), Kleinermann and Ponthot (2003), Lin et al (2002Lin et al ( , 2003, Naceur et al (2001Naceur et al ( , 2004c, Ponthot and Kleinermann (2005), Shi et al (2004), Sillekens and Werkhoven (2001), Yang et al (2001), Zhao et al (2004).…”

Section: Solvingmentioning

confidence: 99%

“…Ben Ayed et al (2004aAyed et al ( , b, 2005, Breitkopf et al (2005), Cao et al (2001), Debray et al (2004), Jansson (2002), Jansson et al 2005, Kim et al (2001a, Kleinermann (2001), Kleinermann and Ponthot (2003), Lenoir and Boudeau (2003), Liew et al (2004), Naceur et al (2001Naceur et al ( , 2003Naceur et al ( , 2004a, Ponthot and Kleinermann (2005), Schenk and Hillmann (2004), Sheng et al (2004), Shi et al (2004), Lin et al (2002) and Strano and Carrino (2004) apply optimisation techniques to deep drawing; Abedrabbo et al (2004), Aydemir et al (2005), Di Lorenzo et al (2004), Endelt (2003), Endelt and Nielsen (2001), Fann and Hsiao (2003), Jirathearanat and Altan (2004), Johnson et al (2004), Labergère and Gelin (2004a, b), Ray and Mac Donald (2004), Sillekens and Werkhoven (2001), Weyler et al (2004) and Yang et al (2001) to hydroforming; Carrino et al (2003a, b) and Kim et al (2001b) to superplastic forming; Byon and Hwang (2001) and Lin et al (2003) to extrusion; and António et al (2004)...…”

Section: Introductionmentioning

confidence: 99%

An optimisation strategy for industrial metal forming processes

Bonte

Boogaard

Huétink

2008

Struct Multidisc Optim

View full text Add to dashboard Cite

Product improvement and cost reduction have always been important goals in the metal forming industry. The rise of finite element (FEM) simulations for processes has contributed to these goals in a major way. More recently, coupling FEM simulations to mathematical optimisation techniques has shown the potential to make a further giant contribution to product improvement and cost reduction. Much research on the optimisation of metal forming processes has been published during the last couple of years. Although the results are impressive, the optimisation techniques are generally only applicable to specific optimisation problems for specific products and specific metal forming processes. As a consequence, applying optimisation techniques to other metal forming problems requires a lot of optimisation expertise, which forms a barrier for more general industrial application of these techniques. In this paper, we overcome this barrier by proposing a generally applicable optimisation strategy that makes use of FEM simulations of metal forming processes. It consists of a structured methodology for modelling optimisation problems related to metal forming. Subsequently, screening is applied to reduce the size of the optimisation problem by selecting only the most important design variables. Finally, the reduced optimisation problem is solved by an efficient optimisation algorithm. The strategy is generally applicable in a sense that it is not constrained to a certain type of metal forming problem, product or process. Also, any FEM code may be included in the strategy. the structured approach for modelling and solving optimisation problems should enable non-optimisation specialists to apply optimisation techniques to improve their products and processes. The optimisation strategy has been successfully applied to a hydroforming process, which demonstrates the potential of the optimisation of metal forming processes in general and more specific the proposed optimisation strategy.

show abstract

“…In terms of optimizing a T-shape, Fann et.al [11], found an optimum relationship between internal pressure and axial feeding applied in a hydroforming process. To do this, they utilized FEA method and conjugate gradient optimization algorithm simultaneously by setting a computer software to attain an optimized geometry and thickness distribution.Aydemir et.al [12], developed an adaptive design method for T-shape tube parts based on FEM to avoid wrinkling and necking.…”

Section: Introductionmentioning

confidence: 99%