The estimation with Artificial Neural Networks of some quality parameters for the surfaces processed by superfinishing

Daniel-Constantin Anghel, Alexandru Ene, L. Slătineanu, G. Nagit, O. Dodun, V. Merticaru, M. Coteata, M.I. Ripanu, A.M. Mihalache, M. Boca, R. Ibanescu, C.E. Panait (+2 others)
2017 MATEC Web of Conferences  
This paper presents a study on the quality parameters obtained by superfinishing. The quality is characterized by the roughness. They are dependent on the following process parameters: circular feed, the contact pressure between the piece and the tool, frequency of oscillation of the tool, the coverage degree between the tool and the piece and the basic time. Because the dependence between inputs and outputs is a nonlinear one, in this paper we used an artificial feed forward neural network
more » ... neural network (ANN). The ANN is trained with the backpropagation algorithm, using as training patterns data measured from the mechanical process. The ANN is used to estimate some parameters from future experiments of the mechanical process.
doi:10.1051/matecconf/201711205001 fatcat:ve73uax2m5d5lplejhqe4tf6ha