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Title: EXPERIMENTAL AND PREDICTION THE CORROSION RESISTANCE OF SOME SINTERED IRON ALLOYS SUBJECTED TO A THERMOCHEMICAL TREATMENT BY USING ARTIFICIAL NEURAL NETWORKS
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EXPERIMENTAL AND PREDICTION THE CORROSION RESISTANCE OF SOME SINTERED IRON ALLOYS SUBJECTED TO A THERMOCHEMICAL TREATMENT BY USING ARTIFICIAL NEURAL NETWORKS
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1314-2704
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English
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20
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In this paper, a computational method to predict the corrosion resistance of some
sintered iron alloys subjected to a thermochemical treatment is analyzed. The proposed materials are obtained by powder metallurgy (P/M) route. The raw materials are prepared from atomized pre-alloyed iron base powders. The compacted samples were obtained by cold pressing using conventional route. The powders were compacted at a pressures of 400 and 600 MPa. After pressing, the green compacts were sintered in a laboratory furnace. The sintering temperature was approximately 1.150 °C. After sintering, the samples were subjected to a thermochemical treatment, carburization in fluidized bed. The fluidized bed carburizing conditions were heating at 930° C during 40 and 60 minutes. Specimens were then air-cooled to room temperature. The corrosion behaviour of the treated samples was studied using electrochemical measurements and computational method using ANN. The electrochemical analysis such as potentiodynamic polarization technique was used. A three-electrode cell arrangement was used. The electrolyte was a naturally aerated 3.5% NaCl solution. The open-circuit potential (OCP) was monitored with a Voltalab potentiostat (Radiometer, Denmark), controlled by the Volta Master-4 software. All the measurements were conducted at the room temperature. Porosity, particle size and carburizing 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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20th International Multidisciplinary Scientific GeoConference SGEM 2020
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20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
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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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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
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145-152
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18 - 24 August, 2020
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website
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cdrom
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6980
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powder metallurgy; corrosion resistance; prediction; computational method
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