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    A kinetic approach for assessing boron diffusivities in iron boride layers formed on 34CrAlNi7 steel
    (University of Chemical Technology and Metallurgy, 2022) Keddam, Mourad; Topuz, Polat
    In the present study, the substrates made of 34CrAlNi7 steel have been used for the powder pack boriding to harden their surfaces. The boriding agent Ekabor 1 TM was employed in the experiments, with the treated samples being kept in the fluidized bed furnace between 1123 and 1323 K for 1 to 4 hours. The cross-sections of boronized samples were examined by a scanning electron microscope and revealed a less saw-tooth appearance for boride needles at the phase interfaces. The XRD analysis showed the presence of chromium borides as Cr2B and Cr5B3 besides the two iron borides (FeB and Fe2B). The diffusion coefficients of boron in the FeB and Fe2B layers have been evaluated with the integral method. Afterwards, the values of boron activation in both layers were deduced and compared with the literature results.
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    Simulation of boronizing kinetics of AISI 316 steel with an integral diffusion model
    (Walter de Gruyter Gmbh, 2021) Keddam, Mourad; Topuz, Polat; Aydın, Özlem
    Boriding or boronizing is a type of surface property improvement process applied to metal or some non-metal materials by diffusion. The calculation of diffusion kinetics is also very important as it is a diffusion controlled process. Today, many researchers perform kinetic calculations by applying the Second Fick's law to the Arrhenius equation. In this study, as an alternative to conventional kinetic calculations, the mathematical modeling of diffusion kinetics has been performed using the integral diffusion model. For the boronizing experiments, the pack-boronizing method was chosen and AISI 316 austenitic stainless steel was used. The experiments were carried out at three temperatures and for three times; Ekabor 2 was used as the boronizing agent. The detailed diffusion kinetics calculations were made using the data obtained from the experiments in the mathematical modeling.