Research of Functionally Graded Materials Database

A FGM database is developed in this paper with the help of database management system, sub-database technologies, modules of material affinity and artificial neural network. In this database, the material relationship among constituents, distributions, and properties can be inquired and edited. The material information of constituents and distributions can be represented by sub-database of material distribution models. Material properties can be estimated by sub-database of material property estimation models and predicted by modules of material affinity and artificial neural network, respectively. Thus, this database provides an effective data management tool for FGMs, which greatly reduces the research time of FGMs and has the important guiding significance for developing the unknown FGMs.