Abstract
The paper proposes genetic programming (GP) to predict
the bending capability of rolled titanzinc metal sheet.
In this study ZnTiCu alloy with 0.1percent Cu and
0.1percent Ti was used for production of metal sheet.
Three groups of independent input variables were
measured: (1) chemical composition of the ZnTiCu alloy
during casting (percentage of Cu, Ti, and Fe), (2)
parameters of hot rolling (temperature of ingot before
rolling, time of rolling, temperature of plate after
rolling, time of cooling), and (3) parameters of cold
rolling (temperature of plate before rolling,
temperature of sheet after rolling). Therefore, nine
input variables (parameters) influence the bending
capability of the sheet metal. On the basis of the
experimental data, several models for prediction of the
bending capability of titanzinc metal sheet were
developed by the simulated evolution. The influence of
individual input variables on bending capability was
also studied. The most accurate model was verified with
an independent testing data set. The results showed
that GP is a powerful tool for predicting the bending
capability of metal sheet.
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