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In this paper, a computational method to predict the dimensional changes in some powder metallurgy materials is used. The samples 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. The analyzed powders were compressed in a mold using uniaxial pressing at 400 and 600 MPa with the disc dimensions of ? 8 ? 6 mm. The sintering temperature was approximately 1.150 °C for 60 and 90 minutes. The density in green and sintered...

In this paper, the artificial neural network (ANN) technique is used to predict the wear resistance e under dry sliding conditions of some iron-based powder metallurgy materials subjected to a thermochemical treatment. The analyzed specimens were obtained using the conventional powder metallurgy route: mixing the raw powders with 1% zinc stearate, cold compacting at a pressure of 400 MPa and sintering at a temperature of 1150°C for 60 minutes. Following the sintering step, the specimens were subjected to carburizi...