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CONFIGURATION OF THE DEEP DRAWING TOOLS BASED ON AN OPTIMIZATION SYSTEM USING NEURAL NETWORK METHODS


BRABIE GHEORGHE, ENE FLORIN
UNIVERSITY OF BACĂU

Issue:

TSTM, Number 12, Volume I

Section:

Optimum Technologic Systems

Abstract:

Springback of draw parts considerably affects their accuracy and deviations from the theoretical profile. This instability phenomenon determines the following changes of the part shape and geometric parameters: arching of the part sidewall, modification of the angle formed by the part bottom and the sidewall, modification of the angle between the flange and the sidewall. The methods applied in order to reduce or eliminate springback are based on tools correction after designing and testing, on the utilization of special tools and devices, on the optimization of process parameters based on some methods that establish a link among springback parameters and the influencing factors of this phenomenon. These methods are expensive and necessitate a big number of experimental tests. Based on these conclusions, it is necessary the development of a method for the reduction or the elimination of the springback effects from the designing stage of forming tools and process.

Keywords:

springback, hemispherical draw parts, tools correction, optimization system.

Code [ID]:

TSTM200612V01S01A0004 [0001497]


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