Analytical model for prediction of springback parameters in the case of U stretch–bending process as a function of stresses distribution in the sheet thickness

Nanu, N.; Brabie, Gheorghe

doi:10.1016/j.ijmecsci.2012.08.007

Cited by 49 publications

(26 citation statements)

References 13 publications

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“…As the main problem in the bending process, spring-back is the key factor that affects the quality of complicated U-shaped parts. A great deal of research has been conducted on this in the past [8][9][10][11][12][13][14][15][16][17][18]. Jiang and Dai [8] proposed a novel model to predict U-bend spring-back and time-dependent spring-back for a high-strength low-alloy (HSLA) steel plate.…”

Section: Introductionmentioning

confidence: 99%

“…Their results indicated that increases in the forming speed somewhat decreased the tendency towards delamination, and increases in the blank holding force significantly diminished the occurrence of delamination. The predictions of spring-back in cases of the U stretch-bending process [12], and in the pre-strained U-draw/bending process [13], were investigated. Thipprakmas and Phanitwong [14] used the finite element method to analyze the bending mechanisms and spring-back/spring-go characteristics in various U-bending processes.…”

Section: Introductionmentioning

confidence: 99%

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Design of U-Geometry Parameters Using Statistical Analysis Techniques in the U-Bending Process

Phanitwong

Boochakul

Thipprakmas

2017

Metals

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Abstract:The various U-geometry parameters in the U-bending process result in processing difficulties in the control of the spring-back characteristic. In this study, the effects of U-geometry parameters, including channel width, bend angle, material thickness, tool radius, as well as workpiece length, and their design, were investigated using a combination of finite element method (FEM) simulation, and statistical analysis techniques. Based on stress distribution analyses, the FEM simulation results clearly identified the different bending mechanisms and effects of U-geometry parameters on the spring-back characteristic in the U-bending process, with and without pressure pads. The statistical analyses elucidated that the bend angle and channel width have a major influence in cases with and without pressure pads, respectively. The experiments were carried out to validate the FEM simulation results. Additionally, the FEM simulation results were in agreement with the experimental results, in terms of the bending forces and bending angles.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of U-Geometry Parameters Using Statistical Analysis Techniques in the U-Bending Process

Phanitwong

Boochakul

Thipprakmas

2017

Metals

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“…The springback can be represented by angular displacement, and the arc radius and angle after springback can be calculated rapidly by using an analytical method, such as for the U-section part [10,18] or arcs of an arbitrary channel [2], or knowledge-based method, such as neural network [9,19], or three-dimensional scanning data comparison method [28]. As some practical process conditions cannot be taken into account, there are usually some deviations between the predicted value and practical one by analytical calculation [2].…”

Section: Introductionmentioning

confidence: 99%

A rapid and intelligent approach to design forming shape model for precise manufacturing of flanged part

Liu

Yang

et al. 2017

Int J Adv Manuf Technol

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Adjusting the part shape with complex flanges to compensate springback deformation is key to forming shape design for manufacturing rapidly and precisely. Classical forming shape design by displacement adjustment (DA) method using finite element (FE) simulation is usually time-consuming and not accurate enough for complex surface part in industrial application. In this paper, the forming shape is modeled by changing the relations of geometric features of part model with the new flange control surfaces directly. Control surface processing (CSP) method is presented including control surface trimming, cross section division, springback compensation, and extending to design forming shape model of doubly curved flange part with joggles rapidly. The algorithms of cross section curves division of control surfaces and subsequent subdivision of each curve with circular arc and line segments are proposed. A case-based reasoning (CBR) technique and gray relation analysis (GRA) are used to support the intelligent springback prediction of each bending segment of the cross section curve. The geometric data of control surface is expressed in XML format to realize the integration of the CAD-based tools of control surface division and compensation with the Web-based springback prediction system. The approach is demonstrated on an industrial aircraft wing rib part. The forming shape model could be designed rapidly by comparison with DA method. The part shape deviations of flange angle (−0.465°~0.528°) and surface position (−0.3 mm~0.3 mm) were detected by comparing the desired geometry with the actual digital formed part shape, and the results indicate that the approach can achieve the industrial part manufacturing rapidly and precisely.

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“…To analyze the unloading springback of sheet metal foils after micro-bending process, a constitutive model was proposed by Liu et al [10] based on the surface layer model by which the sheet foil was divided into surface layer and inner portions. Nanu and Brabie [11] established a model for prediction of springback parameters in the case of U-shaped stretch-bending process as a function of stresses distribution in the sheet thickness. Based on anisotropic hardening, Lee et al [12] used a constitutive model in the finite element simulations of springback and compared its performance with that of conventional hardening laws.…”

Section: Introductionmentioning

confidence: 99%

A novel model to predict U-bending springback and time-dependent springback for a HSLA steel plate

Jiang

Dai

2015

Int J Adv Manuf Technol

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In this paper, a novel model which considers initial strain related to the material's yielding stress, the combination of stretch and bending strain and isotropic hardening rule is introduced to predict U-bending springback and timedependent springback behaviors for a high strength and low alloy (HSLA) steel plate. It is noteworthy that time-dependent springback is associated with plastic strain hardening for the HSLA steel plate. The results obtained from the performed analysis show that the hardening exponent, bending radius and thickness ratio, friction coefficient, and blank holder force have great influences on the springback angle and stress level. Based on this novel model, the prediction of HSLA steel plate's springback is done in the stage of tool design and hence, the accuracy of drawn part is increased.

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Analytical model for prediction of springback parameters in the case of U stretch–bending process as a function of stresses distribution in the sheet thickness

Cited by 49 publications

References 13 publications

Design of U-Geometry Parameters Using Statistical Analysis Techniques in the U-Bending Process

Design of U-Geometry Parameters Using Statistical Analysis Techniques in the U-Bending Process

A rapid and intelligent approach to design forming shape model for precise manufacturing of flanged part

A novel model to predict U-bending springback and time-dependent springback for a HSLA steel plate

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