Material Characterisation for Reliable and Efficient Springback Prediction in Sheet Metal Forming

2006 ◽  
Vol 77 (9-10) ◽  
pp. 747-753 ◽  
Author(s):  
Andriy Krasovskyy ◽  
Winfried Schmitt ◽  
Hermann Riedel
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Material Characterisation ◽  
Springback Prediction

Springback Prediction Compensation and Optimization for Front Side Member in Sheet Metal Forming Using FEM Simulation

2013 ◽  
Vol 789 ◽  
pp. 436-442
Author(s):  
Agus Dwi Anggono ◽  
Waluyo Adi Siswanto ◽  
Omar Badrul
Keyword(s):  
Numerical Simulation ◽  
Finite Element Method ◽  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Fem Simulation ◽  
Element Size ◽  
Springback Prediction ◽  
Element Method

Numerical simulation by finite element method has become a powerful tool in predicting and preventing the unwanted effects of sheet metals technological processing. One of the most important problems in sheet metal forming is the compensation of springback. To improve the accuracy of the formed parts, the die surfaces are required to be optimized so that after springback the geometry falls at the expected shape. This paper presents and discusses numerical simulation procedure of die compensation by using the methods of Simplified Displacement Adjustment (SDA). This analysis use Benchmark 3 models of Numisheet 2011. Sensitively analysis was done by using finite element method (FEM) show that the springback values are influenced by element size, integration points and material properties.

Enhanced accuracy in springback prediction for multistage sheet metal forming processes

2019 ◽  
pp. 111-120
Author(s):  
David Briesenick ◽  
Mathias Liewald ◽  
Ranko Radonjic ◽  
Celalettin Karadogan
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Springback Prediction

Springback prediction for sheet metal forming based on GA-ANN technology

2007 ◽  
Vol 187-188 ◽  
pp. 227-231 ◽  
Author(s):  
Wenjuan Liu ◽  
Qiang Liu ◽  
Feng Ruan ◽  
Zhiyong Liang ◽  
Hongyang Qiu
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Springback Prediction

Thermo-mechanical sheet metal forming of aero engine components in Ti-6Al-4V – PART 1: Material characterisation

2012 ◽  
Vol 6 (3) ◽  
pp. 391-402 ◽  
Author(s):  
E.-L. Odenberger ◽  
J. Hertzman ◽  
P. Thilderkvist ◽  
M. Merklein ◽  
A. Kuppert ◽  
...  
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Material Characterisation ◽  
Aero Engine ◽  
Engine Components

scholarly journals Springback Prediction of Dieless Forming of AZM120 Sheet Metal Based on Constitutive Model

Metals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 780
Author(s):  
Zijin Wu ◽  
Junjie Gong ◽  
Yangdong Chen ◽  
Jinrong Wang ◽  
Yuanyuan Wei ◽  
...  
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Numerical Control ◽  
Theoretical Formula ◽  
Springback Compensation ◽  
Trajectory Model ◽  
Bending Radius ◽  
Springback Control ◽  
Springback Prediction

Springback control is a key issue of the sheet-metal-forming process. In this paper, the mechanism of sheet-metal-forming along the folding trajectory of the computer numerical control (CNC) four-side automatic panel bender was studied, based on the bend-forming springback compensation theory of the power function material model. Firstly, the mechanical property of AZM120 sheet metal standard samples was tested. Then, a theoretical model of springback compensation under plane strain conditions was built, based on the constitutive relationship of the elastic or the elastic-plastic power hardening material. In addition, a sheet-metal-forming trajectory model was designed for sheet metal bending using the vector method. Finally, a laser tracker was used to acquire the folding trajectory, and then the reliability of the trajectory model was verified. On this basis, the influences of geometric and process parameters, such as sheet thickness, forming angle, and bending radius in springback control, were studied according to the theoretical formula and verified by experiments. The proposed method is generally applicable to operation conditions where the bending radius ranges between 1.5 and 6.0 mm and plate thickness ranges from 0.8 to 2.5 mm, and the achieved overall accuracy was more than 89%.

scholarly journals Issues on the Correlation between Experimental and Numerical Results in Sheet Metal Forming Benchmarks

Metals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1595
Author(s):  
Rui L. Amaral ◽  
Diogo M. Neto ◽  
Dipak Wagre ◽  
Abel D. Santos ◽  
Marta C. Oliveira
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Numerical Models ◽  
Research Field ◽  
Numerical Results ◽  
Integration Scheme ◽  
Element Mesh ◽  
Definition Of ◽  
Springback Prediction

The validation of numerical models requires the comparison between numerical and experimental results, which has led to the development of benchmark tests in order to achieve a wider participation. In the sheet metal-forming research field, the benchmarks proposed by the Numisheet conference series are a reference, because they always represented a challenge for the numerical codes within the state of the art in the modeling of sheet metal forming. From the challenges proposed along the series of Numisheet benchmarks, the springback prediction has been frequently incorporated, and is still a motivation for the development and testing of accurate modeling strategies. In fact, springback prediction poses many challenges, because it is strongly influenced by numerical parameters such as the type, order, and integration scheme of the finite elements adopted, as well as the shape and size of the finite element mesh, in addition to the constitutive model. Moreover, its measurement also requires the definition of a fixture that should not influence the actual springback and the proper definition of the measurement locations and directions. This is the subject of this contribution, which analyzes the benchmark focused on springback prediction, proposed by the Numisheet 2016 committee. Numerical results are obtained with two different codes and comparisons are performed between both numerical and experimental data. The differences between numerical results are mainly dictated by the ambiguous definition of boundary conditions. The analysis of numerical and experimental springback results should rely on the use of global planes to ensure the objectivity and simplicity in the comparison. Therefore, the analysis gives an insight into issues related to the comparison of results in complex geometries involving springback, which in turn suggests some recommendations for similar future benchmarks.

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