Springback prediction of AL6061 pipe in free bending process based on finite element and analytic methods

2020 ◽  
Vol 109 (7-8) ◽  
pp. 1789-1799
Author(s):  
Yusen Li ◽  
Andi Li ◽  
Zhenming Yue ◽  
Liangyu Qiu ◽  
Houssem Badreddine ◽  
...  
Keyword(s):  
Finite Element ◽  
Analytic Methods ◽  
Bending Process ◽  
Springback Prediction ◽  
Free Bending

scholarly journals Research Concerning the Springback Prediction in the Bending Operations

2013 ◽  
Vol 8-9 ◽  
pp. 490-499 ◽  
Author(s):  
Florica Mioara Serban ◽  
Nicolae Bâlc ◽  
Gheorghe Achimas ◽  
Cristea Ciprian
Keyword(s):  
Finite Element ◽  
Fuzzy Inference ◽  
Training Data ◽  
The Finite Element Method ◽  
Cylindrical Bending ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Bending Process ◽  
Time Required ◽  
Springback Prediction

Nowadays firms are required to obtain high quality products in order to increase their competitiveness. The time required to obtain a new product is also essential to fight the concurrence. For manufacturers of bent parts, accurate prediction of the springback is very important. Therefore, this paper investigates the applicability of artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) to predict the springback in the free cylindrical bending process of metallic sheets. The finite element method (FEM) was used to simulate the springback in the free cylindrical bending process and the results were used as training data for ANN and ANFIS. The finite element results were validated by comparison with experimental data. Statistic criteria were used to evaluate the performance of the developed ANN and ANFIS models. It was found that the predictions are in good agreement with the FEM data.

Investigation on the influence of mandrel on the forming quality of thin-walled tube during free bending process

2021 ◽  
Vol 72 ◽  
pp. 215-226
Author(s):  
Cheng Cheng ◽  
Hao Chen ◽  
Jiaxin Guo ◽  
Xunzhong Guo ◽  
Yuanji Shi
Keyword(s):  
Forming Quality ◽  
Bending Process ◽  
Thin Walled Tube ◽  
Thin Walled ◽  
Free Bending

Coaction Analysis on Pile-Net-Cushion-Soil

2014 ◽  
Vol 580-583 ◽  
pp. 579-584
Author(s):  
Rui Fang Wang ◽  
Ke Yu Wang
Keyword(s):  
Finite Element ◽  
Literature Review ◽  
Measured Data ◽  
Composite Foundation ◽  
Analytic Calculation ◽  
Three Dimension ◽  
Interaction Coefficients ◽  
Flexibility Matrix ◽  
Analytic Methods ◽  
Set Up

In accordance of the principles of stress continuousness and displacement coordination, the interactions model of pile and pile, pile and soil are set up;Accoring to the symmetry of the models,1/4 of the models are extracted to set up three-dimension multipile composite foundation models.The flexibility matrix of the three reinforcements are modified to build a global flexibility matrix with the consideration of cushion's compression; Interaction coefficients of the analytic calculation are lower than those of the finite element when pile lengthen is diversity.The comparison between the on-site measured data from the literature review and results of the analytic calculation shows the settlements in the analytic calculation are smaller than those in the measured data, and the model measurements are very close to the curves from the analytic calculation. All these prove that the analytic methods proposed by this research are accurate and may function as a reference to engineering.

Intelligent Control Experiment Study for V-Shape Free Bending of Wide Sheet Metal

2008 ◽  
Vol 575-578 ◽  
pp. 186-191
Author(s):  
Jun Zhao ◽  
Chun Jian Su ◽  
Ying Ping Guan
Keyword(s):  
Sheet Metal ◽  
Intelligent Control ◽  
Control Experiment ◽  
Bending Process ◽  
Prediction And Control ◽  
The Neural Networks ◽  
Die Material ◽  
Object Of Study ◽  
And Control ◽  
Free Bending

The main problem in bending process of sheet metal is that it is difficult to control bending springback accurately. Springback produced from the unloading of bending makes the shape and size incongruent between bending workpiece and working portion of die. Because the final shape of bending workpiece is related with the whole deformation process, the geometric parameter of die, material performance parameter will have great effect on springback. Therefore, the springback problem is very complicated and the prediction and control of springback is the key to improve the accuracy of bending workpiece. Taking the V free bending of wide sheet as an object of study, the neural networks technology and data acquisition system based on LabVIEW are used to establish intelligent control experiment system for V free bending of wide sheet metal. The control accuracy of system is high and it provides the basis for the realization of intelligent control for V-shape free bending of wide sheet metal in practice in future.

Effect of Forming Parameters on Flexible-Bending of Three-Dimensional Tubes

2018 ◽  
Vol 937 ◽  
pp. 69-76
Author(s):  
Shuo Sun ◽  
Wen Zhi Fu ◽  
Ming Zhe Li ◽  
Yong Ping Zhou ◽  
Ying Li
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Three Dimensional ◽  
Great Influence ◽  
Batch Production ◽  
Bending Effect ◽  
Forming Parameters ◽  
Bending Process ◽  
Continuous Bending ◽  
Feeding Speed

Flexible-bending is an advanced bending method, especially suitable for small batch production of tubes. The shape of forming parts is mainly related to the offset of the bend die instead of the geometry of it. Based on flexible-bending technology, 3D bending of tubes was carried out by finite element method and the effects of primary parameters on the bending results were studied. The analysis results showed that3D continuous bending of tubes can be obtained by flexible-bending process; die offset, offset speed and feeding speed of tube have a great influence on the bending effect. Bending experiments of 3D tube were carried out by flexible-bending equipment and bending radii of the forming part were measured, the results were very close to that of simulations which proved the effectiveness of simulation.

Total Flexibility in Forming Technology by Servo Presses

2014 ◽  
Vol 907 ◽  
pp. 99-112 ◽  
Author(s):  
Jörg Avemann ◽  
Stefan Calmano ◽  
Sebastian Schmitt ◽  
Peter Groche
Keyword(s):  
Mass Production ◽  
Degrees Of Freedom ◽  
Sheet Thickness ◽  
The Other ◽  
Adaptive Control System ◽  
High Productivity ◽  
Forming Technology ◽  
Bending Process ◽  
Product And Process ◽  
Free Bending

In forming technology, uncertainty can arouse from fluctuations in demand scenarios on one hand and in properties of semi-finished parts on the other. These technologies are usually characterized by a high productivity in mass production. However, high development efforts and investment costs for processes and machines lead to a rigid product and process spectrum. One approach to encounter these uncertainties is the introduction of flexibility into forming technologies by enlarging the number of degrees of freedom without drastically reducing productivity. The 3D Servo Press fulfils the mentioned requirements by exceeding free ram motion of conventional servo presses by two rotational ram DoFs. The adaptive control system coordinates the machine motion and controls product properties by model-based algorithms. Possibilities of this approach are demonstrated in a free bending process of a heat dissipater, resulting in uniform product quality despite variations in material, sheet thickness and desired geometry.

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