Investigation of the influence of various process parameters on the radial forging processes by the finite element method (FEM)

2004 ◽  
Vol 23 (9-10) ◽  
pp. 627-635 ◽  
Author(s):  
Su-Hai Hsiang ◽  
Huey-Lin Ho
2015 ◽  
Vol 3 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Ganesh M. Kakandikar ◽  
Vilas M. Nandedkar

Abstract Deep drawing is a forming process in which a blank of sheet metal is radially drawn into a forming die by the mechanical action of a punch and converted to required shape. Deep drawing involves complex material flow conditions and force distributions. Radial drawing stresses and tangential compressive stresses are induced in flange region due to the material retention property. These compressive stresses result in wrinkling phenomenon in flange region. Normally blank holder is applied for restricting wrinkles. Tensile stresses in radial direction initiate thinning in the wall region of cup. The thinning results into cracking or fracture. The finite element method is widely applied worldwide to simulate the deep drawing process. For real-life simulations of deep drawing process an accurate numerical model, as well as an accurate description of material behavior and contact conditions, is necessary. The finite element method is a powerful tool to predict material thinning deformations before prototypes are made. The proposed innovative methodology combines two techniques for prediction and optimization of thinning in automotive sealing cover. Taguchi design of experiments and analysis of variance has been applied to analyze the influencing process parameters on Thinning. Mathematical relations have been developed to correlate input process parameters and Thinning. Optimization problem has been formulated for thinning and Genetic Algorithm has been applied for optimization. Experimental validation of results proves the applicability of newly proposed approach. The optimized component when manufactured is observed to be safe, no thinning or fracture is observed.


2010 ◽  
Vol 443 ◽  
pp. 134-139 ◽  
Author(s):  
Sutasn Thipprakmas

There is an increasing demand for high quality metal stamped parts. In general, burr formation is the main defect found subsequent to the blanking process. This defect must be strictly removed specifically for consumer products in order to prevent any kind of injury to the operators. Such a removal process results in an increase of the production cost. The unique merit of the counter-blanking process focuses on fabricating the burr-free blanked parts. However, it is difficult to control the numerous process parameters involved in this process in order to achieve the burr-free blanked parts. Thus, this study aims at investigating the process parameter design for the counter-blanking process by means of combining the finite element method (FEM) and statistical analysis techniques, including the Taguchi method and the analysis of variance (ANOVA) techniques. The results indicate that the process parameter of blanking clearance has a major influence on the die-roll formation features of the burr-free blanked part, respectively followed by the punch penetration depth and the same level of influence of the two process parameters of punch and die diameters in the second step. To conclude, this technique could be applied as a tool to achieve good quality of the burr-free blanked parts by optimizing the value of the process parameters and their favorable combinations.


Nanoscale ◽  
2019 ◽  
Vol 11 (43) ◽  
pp. 20868-20875 ◽  
Author(s):  
Junxiong Guo ◽  
Yu Liu ◽  
Yuan Lin ◽  
Yu Tian ◽  
Jinxing Zhang ◽  
...  

We propose a graphene plasmonic infrared photodetector tuned by ferroelectric domains and investigate the interfacial effect using the finite element method.


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