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Title: A COMPUTATIONAL METHOD FOR THE PREDICTION OF CORROSION RESISTANCE OF SOME IRON POWDER METALLURGY MATERIALS
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A COMPUTATIONAL METHOD FOR THE PREDICTION OF CORROSION RESISTANCE OF SOME IRON POWDER METALLURGY MATERIALS
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1314-2704
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English
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18
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6.1
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In this paper, a computational method to predict the corrosion resistance of some ironbased powder metallurgy (P/M) materials is proposed. The samples prepared from
atomized iron powder and pre-alloyed iron base powders powders were the materials analyzed in this paper. The compacted samples were obtained by powder metallurgy process, respectively pressing and sintering of the mixed powders. The samples were compacted at a pressures of 400 and 600 MPa. The sintering temperature was approximately 1.150 °C. The influence of green porosity, the particle sizes, sintering time and corrosion time on properties of the analyzed samples were investigated. An increase in the sintered density of the samples was correlated with a lower porosity and smaller pore size and, as a consequence, a high corrosion resistance. Porosity, particle size and sintering time were defined as the input variables of the model. Corrosion time was used as the outputs 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 corrosion resistance of some iron-based materials obtained by powder metallurgy route. |
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conference
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
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18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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3-8
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02-08 July, 2018
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website
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cdrom
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1767
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powder metallurgy; corrosion; computational method; prediction.
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