High-accuracy V-bending system by real time identifying material property

Imai, Kazunari; Koyama, Jun-ichi; Jin, Yanfei

doi:10.1016/j.jmatprotec.2007.11.132

Cited by 15 publications

(5 citation statements)

References 1 publication

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“…But the error was within 1%–4% of the reasonable ranges and had the same variation. Imai et al ’s(2008), research on high accuracy “V-bending” and accuracy was 88%. Fang et al (2015) established a micro “V-bending” FEM model to optimize the accuracy of “V-bending” using ABAQUS simulation, and the accuracy was 86%.…”

Section: Comparison Of Simulation and Experimental Resultsmentioning

confidence: 99%

Research on the laws of transition zone of non-deformation area for 90° V-bending forming process

Miah

Zhang

Malhi

2022

AEAT

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Purpose “V-bending” is the most commonly used bending process in which the sheet metal is pressed into a “V-shaped” die using a “V-shaped” punch to form a required angular bend. When the punch is removed after the operation, because of elastic recovery, the bent angle varies. This shape discrepancy is known as spring back which causes problems in the assembly of the component in the modern aerospace industry. Regarding the optimization of spring-back accuracy, this research will illustrate the laws of the transition area (TA) of the nondeformation area (NDA) during the 90° “V-shape” bending process. Design/methodology/approach According to the traditional “V-bending” process to optimize the spring-back accuracy, the bent sheets are divided into deformation area (DA) and NDA. For this reason, the traditional “V-bending” process may prolong error to optimize the spring-back accuracy because NDA has a certain amount of deformation, which the researcher always avoids. Firstly, bent sheets are divided into three parts in this research: DA, TA and NDA to avoid the distortion error in TA that are not considered in the NDA in traditional theory. Then, the stress and strain in the DA and TA were discussed during theoretical derivation and some hypotheses were proposed. In this research, the interval, position and distortion degree of the TA of the bending sheet are used by finite element analysis. Finally, V-shape bending tests for aluminum alloy at room temperature are used and labeled all the work pieces' TAs to realize the deformation amount in the TA. Findings The bending radius does not affect the range of the TA, it only changes the position of TA in the bending sheet. It is evident that the laws of TA were explored in the width direction and gradually changed from the inner layer to the outer layer based on the ratio of width and thickness of the bending plate/sheet. Originality/value In the modern aerospace industry, aircraft manufacturing technology must maintain high accuracy. This research has practical value in the 90° “V-shape” bending of metal sheets and the development of its spring-back accuracy.

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Section: Comparison Of Simulation and Experimental Resultsmentioning

confidence: 99%

Research on the laws of transition zone of non-deformation area for 90° V-bending forming process

Miah

Zhang

Malhi

2022

AEAT

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“…During air bending stage, the elastic recovery after unloading causes the springback phenomenon, the bend part tends to return to the original undeformed state [6]. The effect of material parameters such as elasticity, yield stress, hardening property, thickness, and process parameters such as the applied load, friction, die angle, punch radius, die gap, and temperature on springback of the material have been investigated by some authors and established new mathematical models in order to predict the springback behavior of the material accurately [7][8][9][10][11][12][13][14][15][16][17][18]. The accuracy of sheet metal forming and springback simulation results depends not only on the forming conditions of the process but also on the choice of the material constitutive model and its numerical implementation into finite element programs.…”

Section: Advanced Materials Researchmentioning

confidence: 99%

The Effects of Material Thickness and Deformation Speed on Springback Behavior of DP600 Steel

Toros

Kılıç

Öztürk

2011

AMR

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In the present study, the effects of deformation speeds, sheet thickness, and widths on the springback were investigated experimentally and numerically using a 60o V-shaped bending for DP600 steel. Results reveal that the springback was significantly decreased with increasing thicknesses and deformation speed including 125 mm/min in the range of 5-500 mm/min. The effects of widths on springback were found to be inconsiderable.

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“…Wang et al used the force stroke curve to analyze the processing parameters [34]. Imai et al used the force stroke curve to identify the fracture parameters [35]. According to the experimental curve, it remained linear in the early stage and became nonlinear after it entered plasticity.…”

Section: Introductionmentioning

confidence: 99%

A Fast Identification Method of Yield Strength of Materials Based on Bending Experimental Data

Duan

Tian

Zhang

et al. 2020

Metals

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Identifying the yield strength of materials quickly and accurately is the key to realizing defect prediction and digital process control on the production line. This paper focuses on identifying the material yield strength based on bending deformation, analyzing the influence of different die fillets, punch fillets, and die spans on the curve shapes, determining the reasonable dimensions of the device, and developing them. Two methods for rapidly extracting the yield load are proposed—the window vector method (WV) and the fitting residual method (FR)—and compared with the double secant line method (CWA) and the one tenth thickness method (t/10). Because there is no direct correspondence between the yield load and the material performance parameters, the relevant equations were fitted using the experimental data. The linear correlation between load and yield strength determined by these four methods was close to 0.99. Finally, four kinds of sheets with high, medium and low yield strength were tested and compared with the observed results. The result shows that when the yield strength is small, the average error and the relevant model dispersion will increase. As the yield strength increases, the biases increase gradually. The prediction errors based on the t/10, WV, and FR methods were all below 4%.

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High-accuracy V-bending system by real time identifying material property

Cited by 15 publications

References 1 publication

Research on the laws of transition zone of non-deformation area for 90° V-bending forming process

Research on the laws of transition zone of non-deformation area for 90° V-bending forming process

The Effects of Material Thickness and Deformation Speed on Springback Behavior of DP600 Steel

A Fast Identification Method of Yield Strength of Materials Based on Bending Experimental Data

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