Optimization of load paths in X- and Y-shaped hydroforming

Kadkhodayan, Mehran; Moghadam, Ahmad Erfani

doi:10.1007/s12289-011-1074-3

Cited by 19 publications

(9 citation statements)

References 11 publications

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“…The axial punch displacement curves are similar in many reports and usually consist of two stages [9,24,25,53,54]. Therefore, the variation of the axial punch displacement curve can be modeled by two points: (D 1 , t 3 ), (D 2 , 0.03).…”

Section: The Definition Of the Loading Paths And Objectivesmentioning

confidence: 99%

“…1 The flowchart for multiobjective optimization using adaptive SVR have been successfully used to improve the efficiency of the analysis and optimization for THF process. Kadkhodayan and Moghadam [24,25] applied the RSM and design of experiment (DOE) to optimize the loading parameters for T-shape, X-shape, and Y-shape THF process. Brooghani et al [26] optimized the loading path for T-shape THF process using multi-level RSM.…”

Section: Introductionmentioning

confidence: 99%

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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

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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.

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Section: The Definition Of the Loading Paths And Objectivesmentioning

confidence: 99%

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

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“…At present, the research on four-way tubes has also achieved certain results, which can be divided into Xtype four-way tubes and parallel double-branch type four-way tubes. Mehran and Kadkhodayan [15] studied the optimization of load path in hydroforming of angled tubes which include X-and Y-shaped tubes through statistical methods in conjunction with FEA and simulated annealing algorithms, and the quality of the nal product containing the variance of tube thickness and height was improved signi cantly by using the optimization method. Olabi et al [16] used the LS-DYNA preprocessor and solver to establish a nite element model for the hydroforming of copper X-shaped double-layer tubes, and simulated the failure modes of X-shaped tube rupture and wrinkles and veri ed them with experiments.…”

Section: Introductionmentioning

confidence: 99%

Multi-step hydroforming process and wall thickness optimization of 5A02 aluminum alloy five-way tube with different branch diameters

Wei

Fan

et al. 2022

Int J Adv Manuf Technol

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The different branch diameter of ve-way tube affects the design of loading internal pressure in the hydroforming process, where the large-diameter branch is broken more easily than the small-diameter one due to the same ultimate stress of tube material in one-step forming method. Therefore, the rst four-way and then ve-way of multi-step forming (FFTF) method and the rst three-way and then ve-way of multistep forming (FTTF) method were proposed to fabricate the 5A02 aluminum alloy ve-way tube with two kinds of branch diameters to avoid the burst of large-diameter branch tube. The nite element simulation of ve-way tube hydroforming process shows that the height of small-diameter branch tube is lower and serious wrinkles appear at the large-diameter branch tube in the one-step forming and FFTF method. By optimizing the length of punch, a ve-way tube with a big branch height and uniform wall thickness was obtained with the FTTF method. The approach of lengthening the punch in the experiment increased the height of formed branch and reduced the wall thickness reduction rate of ve-way tube in FTTF method.Overall, the ndings mentioned above can not only offer guide in creating ve-way tube with excellent quality, but also be taken as reference to the hydroforming studies on multi-way tube in the future.

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“…Kadkhodayan et al [14] examined Y- and X-shaped THF using numerical simulation and used simulated annealing algorithms to optimize the loading path. With the aid of the proposed method, the tube was formed with better formability indicators and lower capacity machines.…”

Section: Introductionmentioning

confidence: 99%

A new method to produce T-shaped tubular fittings with experimental and simulation results

et al. 2019

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A tube is an important structural element for fluid manipulation in piped networks in many industries. Tube branching is achieved using tube fittings of various shapes, including T, Y, X, and L shapes. This study proposes a new innovative technique to produce T-shaped tubular fittings. The technique uses a specially designed die setup where a tube is placed inside a T-shaped die cavity and a metallic insert is used to deform the tube into the cavity, creating the T-fitting shape. Experimental and numerical methods are used to evaluate the process. The main outcome of this research is the successful creation of T-shaped copper tube fittings using a technique similar to tube hydroforming without the need for internal pressure. This technique could be modified to assist the production of T-fittings with thicknesses outside the hydroforming limits.

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Optimization of load paths in X- and Y-shaped hydroforming

Cited by 19 publications

References 11 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

Multi-step hydroforming process and wall thickness optimization of 5A02 aluminum alloy five-way tube with different branch diameters

A new method to produce T-shaped tubular fittings with experimental and simulation results

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