Experimental and Simulation of Friction Effects in an Open-Die Microforging/Extrusion Process

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Ehsan Ghassemali ◽  
Ming-Jen Tan ◽  
Samuel Chao Voon Lim ◽  
Chua Beng Wah ◽  
Anders Eric Wollmar Jarfors

Friction effects during a progressive microforming process for production of micropins of various diameters were experimentally investigated and were analytically modeled, using a hybrid friction model. The response surface method and ANOVA analysis were used to generalize the findings for various pin diameters. Besides, it was shown that to get an accurate result in simulation, the friction model must be considered locally instead of a global friction model for the whole process. The effect of friction factor on the final micropart dimensions (the effect on the instantaneous location of the neutral plane) and the forming pressure were investigated. The results showed a reduction in the friction factor as die diameter increased. Following that, the optimum frictional condition to obtain the highest micropart aspect ratio was defined as the maximum friction on the interface between the die upper surface and the punch surface, together with a minimum friction inside the die orifice.

2013 ◽  
Vol 371 ◽  
pp. 394-398 ◽  
Author(s):  
Adrian Popescu ◽  
Liana Hancu ◽  
Paul Bere

Polymeric material's extrusion is a very complex manufacturing process opened for new research. In this paper the authors use for extrusionpolyamide 6.6reinforced with 20% glass fibres. This material offers very good mechanical, thermal and frictional proprieties. The improvement of these proprieties can be realized through the optimization of the extrusion process. Temperature is a very important parameter for obtaining good quality products, so to choose the proper values of it, is an interesting challenge. It was proved that the main influence upon the product's quality have the temperatures from the metering zone and from the forming zone so the optimization of these is of maximum importance for the quality of the products. The Response Surface Method (RSM), based onANOVA - Analysis of Variancemodel was used for optimization the temperatures from the metering zone and from the forming zone.


2014 ◽  
Vol 134 (9) ◽  
pp. 1293-1298
Author(s):  
Toshiya Kaihara ◽  
Nobutada Fuji ◽  
Tomomi Nonaka ◽  
Yuma Tomoi

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