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A COMPUTATIONAL METHOD TO PREDICT THE DIMENSIONAL CHANGES IN SOME POWDER METALLURGY MATERIALS
Abstract
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 state of iron-based alloys, the mechanical properties and dimensional changes were evaluated. A computational model using input and output parameters was used. Particle size, pressure and sintering time were defined as the input variables of the model. Porosity and hardness was used as the output variables of the model. It is observed that the values obtained by computational method are in good correlation with the experimental values. The viability of the computational model used is confirmed. The computational method studied in this paper can be used as an alternative to predict the dimensional changes of some iron-based materials obtained by powder metallurgy route.
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