High Mn aluminum bronze ZCuAl18Mn13Fe3Ni2 is composed of multi-elements

in which the elements affect the mechanical properties of the bronze each other.It is important to optimize chemical composition to realize desirable mechanical properties of the bronze by mathematical modelization.Relationship among tensile strength

yield strength

elongation

hardness with Al

Mn

Fe

Ni elements was established by constructing BP artificial neural network model on the Matlab plateau based on lots of data from practical centrifugal casting

and availability of the model was verified by regression and prediction.500 sets predicted values in extensive scope were obtained by the model

which was comparatively analyzed with screening true value.Furthermore

combining practical data

the optimized scope of the alloy composition was presented.In addition

ingredients

impurity content

control of pouring temperature were approached.