Localised edge buckling in cold roll-forming of symmetric channel section

Tehrani, Mehran; Hartley, P.; Naeini, Hassan Moslemi; Khademizadeh, H.

doi:10.1016/j.tws.2006.01.008

Cited by 67 publications

(32 citation statements)

References 9 publications

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“…The results correlated very well with those of Heislitz et al (1996). In their numerical investigation on edge buckling of a roll forming process producing a symmetric channel section, Tehrani et al (2006) validated their numerical results with strain gauge analysis and agreed with McClure and Li (1995) that the strain is positive/ tensile in the flange, and negative/ compressive in the web.…”

Section: Introductionsupporting

confidence: 75%

“…For the FE-Analysis the material was defined to be elastic-plastic with linear hardening, as also used in the study of Kiuchi (1973) and with a von-Mises yield function as mentioned in Dixit and Dixit (2008). Using equations (1), (2), and (3) all engineering values were transformed into true values for the yield stress and ultimate tensile strength , and the plastic behaviour could be calculated as described by Tehrani et al (2006) and Meyers and Chawla (1999).…”

Section: Materials Propertiesmentioning

confidence: 99%

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Predicting plastic deformation and work hardening during V-band formation

Müller

Barrans

Blunt

2011

Journal of Materials Processing Technology

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V-Band Clamps are manufactured using a cold roll forming process consisting of six passes which plastically deform an initially flat strip by bending to produce the band's V-section. In this paper a new method of validating numerically predicted plastic deformation in a cold formed metal strip is presented. Tensile testing of samples of the band's material was used to obtain a direct link between plastic strain and work hardness of this particular material. Using this correlation, the equivalent plastic strain (PEEQ) values predicted by finite element simulations were converted into hardness values.These values were compared to experimental work, in which samples of each pass of the roll forming process were taken to determine the work hardness in the cross section of the V-band using a microhardness machine. The error in strain predicted by the numerical method and hardness obtained by testing was found to be between 0.4% and 16.9%. This error was mainly due to uncertainty in material properties and the accuracy of the measurement technique. Compared to the more classical approach of measuring strain distribution with strain gauges, this method is more precise and accurate, as it is able to pick up even small changes in strain distribution.

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Section: Introductionsupporting

confidence: 75%

Section: Materials Propertiesmentioning

confidence: 99%

Predicting plastic deformation and work hardening during V-band formation

Müller

Barrans

Blunt

2011

Journal of Materials Processing Technology

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“…Tehrani et al [16] studied the 'localized edge buckling' in cold roll-forming of symmetric channel sections. They used finite element simulation in their study to show that there exists a particular limit for the roll angle in the forming stand.…”

Section: Introductionmentioning

confidence: 99%

The effects of forming parameters on the cold roll forming of channel section

Safdarian¹,

Naeini

2015

Thin-Walled Structures

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“…They can be eliminated by the adjustment of the process parameters, such as the roll-forming line velocity, rolls inter-distance, rolls gap or rolls diameter [9]. Among them, the longitudinal strain was identified as the major factor related to defects in an RF process [10]. In detail, the longitudinal strains at the edge of the metal sheet should not overcome the yield limit of the material, as this will mean the occurrence of longitudinal residual strain.…”

Section: Important Factors In the Optimization Of Bending Sequence Inmentioning

confidence: 99%

Optimization of bending sequence in roll forming using neural network and genetic algorithm

Park

Anh

2011

J Mech Sci Technol

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In the roll forming process, the bending sequence plays a major role in the product quality. The optimal bending sequence results in the smallest number of passes and the flawless process. This paper presents a new optimization procedure of bending sequence in a roll forming process. The multilayer perceptron is used to build the neural network (NN), which models the variation of longitudinal strain in process while the genetic algorithm (GA) is employed to optimize the bending sequence. The data used for training the network is automatically obtained by the integration between CAD and CAE. The values of peak longitudinal strains are maximized while the number of passes is reduced to the smallest and the constraint conditions being set on the maximal longitudinal strain to avoid buckling. The overbending at final pass after spring back is also considered in this paper. Two roll forming processes are optimized in order to prove applicability and efficiency of the optimization procedure. This method maintains the longitudinal strain less than the buckling limit, whereas reducing the number of passes to the smallest. Thus, the advantages of the proposed method show the high applicability in designing and optimizing the bending sequence in the roll forming process.

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Localised edge buckling in cold roll-forming of symmetric channel section

Cited by 67 publications

References 9 publications

Predicting plastic deformation and work hardening during V-band formation

Predicting plastic deformation and work hardening during V-band formation

The effects of forming parameters on the cold roll forming of channel section

Optimization of bending sequence in roll forming using neural network and genetic algorithm

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