scholarly journals Friction in sheet metal forming: influence of surface roughness and strain rate on sheet metal forming simulation results

2019 ◽  
Vol 29 ◽  
pp. 512-519 ◽  
Author(s):  
Mats Sigvant ◽  
Johan Pilthammar ◽  
Johan Hol ◽  
Jan Harmen Wiebenga ◽  
Toni Chezan ◽  
...  
2011 ◽  
Vol 291-294 ◽  
pp. 259-262
Author(s):  
Xi Fen Liu ◽  
Yi Hua Hu ◽  
Wei Jian Huang

The features and functions of Autoform software for sheet metal forming simulation were introduced. Taking the auto panel as an example, based on UG and Autoform, the process of CAE simulation analysis on the drawing process was stated in this paper and the simulation results were analyzed. The results of analyses indicated that the crack tendency was in the two salient of auto panel flange in the drawing process. By optimizing and adjusting the parameters of mold, the problem of crack tendency was solved. The optimal stamping process was finally determined based on the results of the simulation. Compared with the traditional stamping technology and die designing, the quality of die designing was improved by adopting CAE technique.


Incremental Sheet metal forming is a die less method of forming which offers high formability. In this research work; effect of step depth, tool rotation speed and preheating temperature on surface roughness and thinning of flange wall is investigated in hole flanging using incremental forming. The parameter optimization is carried out by Taguchi method. Grey relational analysis is carried out to obtain best parameter combination.


2019 ◽  
Vol 13 (2) ◽  
pp. 4911-4927
Author(s):  
Swagatika Mohanty ◽  
Srinivasa Prakash Regalla ◽  
Yendluri Venkata Daseswara Rao

Product quality and production time are critical constraints in sheet metal forming. These are normally measured in terms of surface roughness and forming time, respectively. Incremental sheet metal forming is considered as most suitable for small batch production specifically because it is a die-less manufacturing process and needs only a simple generic fixture. The surface roughness and forming time depend on several process parameters, among which the wall angle, step depth, feed rate, sheet thickness, and spindle speed have a greater impact on forming time and surface roughness. In the present work, the effect of step depth, feed rate and wall angle on the surface roughness and forming time have been investigated for constant 1.2 mm thick Al-1100 sheet and at a constant spindle speed of 1300 rpm. Since the variable effects of these parameters necessitate multi-objective optimization, the Taguchi L9 orthogonal array has been used to plan the experiments and the significance of parameters and their interactions have been determined using analysis of variance (ANOVA) technique. The optimum response has been brought out using response surfaces. Finally, the findings of response surface method have been validated by conducting additional experiments at the intermediate values of the parameters and these results were found to be in agreement with the predictions of Taguchi method and response surface method.


2007 ◽  
Vol 2007.15 (0) ◽  
pp. 231-232
Author(s):  
Takayuki HAMA ◽  
Cristian TEODOSIU ◽  
Akitake MAKINOUCHI ◽  
Hirohiko TAKUDA

2011 ◽  
Vol 347-353 ◽  
pp. 3939-3945
Author(s):  
Jin Yan Wang ◽  
Ji Xian Sun

In most FEM codes, the isotropic-elastic & transversely anisotropic-elastoplastic model using Hill's yield function has been widely adopted in 3D shell elements (modified to meet the plane stress condition) and 3D solid elements. However, when the 4-node quadrilateral plane strain or axisymmetric element is used for 2D sheet metal forming simulation, the above transversely anisotropic Hill model is not available in some FEM code like Ls-Dyna. A novel approach for explicit analysis of transversely anisotropic 2D sheet metal forming using 6-component Barlat yield function is elaborated in detail in this paper, the related formula between the material anisotropic coefficients in Barlat yield function and the Lankford parameters are derived directly. Numerical 2D results obtained from the novel approach fit well with the 3D solution .


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