Article,
Predicting stress distribution in cold-formed material with genetic programming
International journal of advanced manufacturing technology, 23 (7-8): 467--474 (2004)
DOI: doi:10.1007/s00170-003-1649-3
Abstract
In this paper we propose a genetic programming
approach to predict radial stress distribution in
cold-formed material. As an example, cylindrical
specimens of copper alloy were forward extruded and
analysed by the visioplasticity method. They were
extruded with different coefficients of friction. The
values of three independent variables (i.e., radial and
axial position of measured stress node, and coefficient
of friction) were collected after each extrusion. These
variables influence the value of the dependent
variable, i.e., radial stress. On the basis of training
data set, various different prediction models for
radial stress distribution were developed during
simulated evolution. Accuracy of the best models was
proved with the testing data set. The research showed
that by proposed approach the precise prediction models
can be developed; therefore, it is widely used also in
other areas in metal-forming industry, where the
experimental data on the process are known.
