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In the present study, the mechanical properties of some iron-based sintered alloys prepared by powder metallurgy route were predicted using Artificial Neural Network (ANN) approach. Artificial Neural Networks (ANNs) are important tools used to predict the complex processes with many variables and interactions. In order to prepare the sintered compacts, the powders prepared from pre-alloyed iron base powders produced by atomization (< 45, 45-63, 63-100, 100-150, >150 ?m) were the materials analyzed in this paper. T...

Modeling using artificial neural networks (ANNs) is used in most fields of production. An approach to modeling the dimensional changes in some iron-based powder metallurgy (PM) parts during the sintering process is given. The proposed model used is a multilayer neural network with a backpropagation learning algorithm. This type of neural network model gave the best results in the process of modeling. The specimens used in this study are prealloyed iron-based powders. The particle size of the powders is ranging fro...