In this paper back-propagation artificial neural network (BPANN) is employed to predict the limiting drawing ratio (LDR) of the deep drawing process. To prepare a training set for BPANN, some finite element simulations were carried out. die and punch radius, die arc radius, friction coefficient, thickness, yield strength of sheet and strain hardening exponent were used as the input data and the...

We investigate the distribution, mean value, variance and some limiting properties of an urn model of white and red balls under random multiple drawing (either with or without replacement) when the number of white and red balls added follows a schedule that depends on the number of white balls chosen in each drawing.

In this paper, experimental results of a deep drawing process to produce a cylinder of high strength steel with a spherical head were compared with it’s simulation results and three proposal design types. Meanwhile, the amount of limiting draw ratio in some stages was determined. Accuracy and precision of the results of a finite element software to predicting the multi stage deep drawing proces...

hydroforming process in one of the most effective production method, for improving the drawing ratio in sheet metal forming process. this is due to the fact that in hydroforming process, forming takes place using a punch which drives the part forward via a controlled fluid pressure. in this paper, deep drawing hydroforming for circular punch is investigated. different pressure paths are tested ...