Selection of Material using IWDNN Algorithm for Multiphase Material Component Design

A component is made of different materials in various regions, which is ascertained to satisfy the application requirements. The component of a material can be categorized into homogeneous with functionally graded materials and composites and heterogeneous with periodic microstructures. The design of such component is implemented from its function requirements to material properties, geometry, and microstructures or compositions. However, the presence of fractures in such material affects the properties of materials and reduces its lifetime. Hence, we propose an improved Intelligent Water Drop Neural Network (IWDNN) Algorithm to optimally select the microstructures and constituent compositions of material from a material database. The IWDNN algorithm is built with the material properties to identify the fractures present in microstructures and constituent compositions of materials. The proposed approach is tested using a special circular beam constructed with multiphase materials.