@article{(Open Science Index):https://publications.waset.org/pdf/4810,
	  title     = {Prediction the Limiting Drawing Ratio in Deep Drawing Process by Back Propagation Artificial Neural Network},
	  author    = {H.Mohammadi Majd and  M.Jalali Azizpour and  M. Goodarzi},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper back-propagation artificial neural
network (BPANN) with Levenberg–Marquardt algorithm 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 LDR
as the specified output used in the training of neural network. As a
result of the specified parameters, the program will be able to
estimate the LDR for any new given condition. Comparing FEM and
BPANN results, an acceptable correlation was found.},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {5},
	  number    = {6},
	  year      = {2011},
	  pages     = {845 - 848},
	  ee        = {https://publications.waset.org/pdf/4810},
	  url   	= {https://publications.waset.org/vol/54},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 54, 2011},
	}