Temperature effect on electromagnetic forming process by finite element analysis

2011 ◽  
Vol 35 (1) ◽  
pp. 25-37 ◽  
Author(s):  
Chia-Lung Kuo ◽  
Jr-Shiang You ◽  
Shun-Fa Hwang
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Temperature Effect ◽  
Electromagnetic Forming ◽  
Forming Process ◽  
Element Analysis

Leveling Quality Prediction Algorithm

2015 ◽  
Vol 809-810 ◽  
pp. 235-240
Author(s):  
Catalina Maier ◽  
Robin Gauthier
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Theoretical Model ◽  
Cumulative Effect ◽  
Prediction Algorithm ◽  
Forming Process ◽  
Element Analysis ◽  
The Finite Element Analysis ◽  
Experimental Values ◽  
Different Characteristics

Roller leveling is a forming process which used to minimize flatness imperfection and residual stresses by repeated forming process of a sheet metal. The determination of the machine settings must be very accurate and ask a precise mechanical study. In order to determine an algorithm which can predict the leveling quality according to the machine settings we start by a theoretical model of stress evolution during the process. The plastification ratio is deducted from this one and the values obtained by this approach are compared whit experimental values. The finite element analysis is performed, in second step in order to assure a good accuracy of the prediction algorithm. Theoretical study determines a minimum of the plastification ratio according to the machine settings. The finite element analysis gives more accurate results due to the consideration of different characteristics of the process, neglected by the theoretical model: cumulative effect of bending/unbending with stretching of the sheet during the passing between each couple of rolls, boundary conditions at the limit of the material deformed by two adjoining couples of rolls, friction force.

Forming and springback prediction in press brake air bending combining finite element analysis and neural networks

2018 ◽  
Vol 53 (8) ◽  
pp. 584-601 ◽  
Author(s):  
Sara S Miranda ◽  
Manuel R Barbosa ◽  
Abel D Santos ◽  
J Bessa Pacheco ◽  
Rui L Amaral
Keyword(s):  
Neural Networks ◽  
Finite Element Analysis ◽  
Finite Element ◽  
Sheet Metal ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Forming Process ◽  
Element Analysis ◽  
Air Bending ◽  
Springback Prediction

Press brake air bending, a process of obtaining products by sheet metal forming, can be considered at first sight a simple geometric problem. However the accuracy of the obtained geometries involves the combination of multiple parameters directly associated with the tools and the processing parameters, as well as with the sheet metal materials and dimensions. The main topic herein presented deals with the capability of predicting the punch displacement process parameter that enables the product to be accurately shaped to a desired bending angle, in press brake air bending. In our approach, it is considered separately the forming process and the elastic recovery (i.e. the springback effect). Current solutions in press brake numerical control (computer numerical control) are normally configured by analytical models developed from geometrical analysis and including correcting factors. In our approach, it is proposed to combine the use of a learning tool, artificial neural networks, with a simulation and data generation tool (finite element analysis). This combination enables modeling the complex nonlinear behavior of the forming process and springback effect, including the validation of results obtained. A developed model taking into account different process parameters and tool geometries allow extending the range of applications with practical interest in industry. The final solution is compatible with its incorporation in a computer numerical control press brake controller. It was concluded that, using this methodology, it is possible to predict efficient and accurate final geometries after bending, being also a step forward to a “first time right” solution. In addition, the developed models, methodologies and obtained results were validated by comparison with experimental tests.

418 Cold roll forming process of wrought magnesium alloy using finite element analysis

2014 ◽  
Vol 2014.22 (0) ◽  
pp. 163-164
Author(s):  
Shintaro AKANUMA ◽  
Tomoya SUZUKI ◽  
Hayato ASO ◽  
Bunkyo KYO ◽  
Shinichi NISHIDA ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Magnesium Alloy ◽  
Roll Forming ◽  
Cold Roll Forming ◽  
Forming Process ◽  
Element Analysis ◽  
Cold Roll ◽  
Wrought Magnesium Alloy ◽  
Roll Forming Process
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