Scholarly record
EXPERIMENTAL AND PREDICTION THE CORROSION RESISTANCE OF SOME SINTERED IRON ALLOYS SUBJECTED TO A THERMOCHEMICAL TREATMENT BY USING ARTIFICIAL NEURAL NETWORKS
Abstract
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.
Publication Impact Profile
- Captures
- Mendeley - Readers: 1
Publication details
References15
Hamill A., Causton R., Shah S.. High performance ferrous P/M materials utilizing high temperature sintering; p. 193–213, 1992.
Saritas S., Causton R., James W.B., Lawley A., Effect of microstructural inhomogeneities on the mechanical properties of hybrid P/M steels, Adv Powder Metal Particul Mater 2001:1921–40.
Lee P.W., Trudel Y., Iacocca R., German R.M., Ferguson B.L., Eisen W.B., et al. ASM handbook, vol. 7. Powder metal technologies and applications;p. 376–81, 1998.
Rutz H.G., Hanejko F.G., High density processing of high performance ferrous materials by new P/M process. Ind Heating;61:39–43, 1994.
Bocchini G.F., Engineers SoA., The warm compaction process basics: advantages and limitations. Society of automotive engineers; 1998.
Sanderow H. I., Spirco J., Effect of composition and heat treatment on mechanical properties of powder forged steels, Metal Powder Report, vol. 52, pp. 41, 1997.
Mansoorzadeh S., Ashrafizadeh F., The effect of thermochemical treatments on case properties and impact behaviour of Astaloy CrM, Surface and Coatings Technology, vol. 192, issues 2–3, pp. 231-238, 2005.
Allison P. G., Hammi Y., Jordon J. B., Horstemeyer M. F., Modelling and experimental study of fatigue of powder metal steel (FC-0205), Powder Metallurgy, vol. 56:5, pp. 388-396, 2013.
Iacoviello F., Iacoviello D., Cavallini M., Analysis of stress ratio effects on fatigue propagation in a sintered duplex steel by experimentation and artificial neural network approaches, vol. 26, pp. 819-828, 2004.
Marin M, Potecasu F, Marin F., Potecasu O, Alexandru P., Prediction of porosity in iron-based powder metallurgy (P/M) materials using an image processing software, 16th International Multidisciplinary Scientific Geoconference (SGEM 2016), Conference Proceedings, vol. I, pp. 259-264, 2016.
Xia X., Nie J. F., Davies C.H.J., Tang W.N., Xu S.W., Birbilis N. , An artificial neural network for predicting corrosion rate and hardness of magnesium alloys, Materials & Design, vol. 90, pp. 1034-1043, 2016.
Caligari M. C., Mallia B., Sinagra E, Wismayer P.S., Buhagiar J., Vella D, The effect of alloying elements on the properties of pressed and non-pressed biodegradable Fe–Mn–Ag powder metallurgy alloys, Heliyon, vol. 5, issue 9, e02522, pp.1-11, 2019.
Gurau C., Gurau G., Sampath V., Structural study and phase transformation of Cu-Al-Ni shape memory alloy produced by severe plastic deformation, Indian journal of engineering and materials sciences, volume: 25, issue 1, pp. 5-10, 2018.
Angela W. D., Tellez L., Alcala J.F., Martinez E., Cedeno V. F., Effect of copper on the mechanical properties of alloys formed by powder metallurgy, Materials and Design, vol. 58, pp. 12–18, 2014;
Gething B.A., Heaney D.F., Koss D.A., Mueller T.J, The effect of nickel on the mechanical behavior of molybdenum P/M steels, Materials Science and Engineering A, vol. 390, pp. 19–26, 2005.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.