Performance of the Fe-Ni-Cr steel alloy in high temperature molten liquid lead

Arkundato, Artoto; Monado, Fiber; Supeno,; Misto,; Su’ud, Zaki

doi:10.1088/1742-6596/1170/1/012010

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Let's calculate the diffusion coefficient of iron by observing the dissolution of Fe atoms into liquid coolant. The diffusion coefficient of material can be computed by using the popular Einstein relation as we have done in previous work [10][11][12][13]. Due to our corrosion simulations being done using the Moldy program, it is easy to calculate the diffusion coefficient by calling the msd command line as described in Moldy's manual [16].…”

Section: Corrosion Of Fe Feni Fenicr and Fenicrtimentioning

confidence: 99%

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Molecular dynamics simulation of corrosion and its inhibition: comparison of structural stability of Fe/FeNi/FeNiCr/FeNiCrTi steels under high-temperature liquid lead

Arkundato¹,

Syarifah²,

Shafi'i³

et al. 2022

Eureka: PE

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The liquid lead used in fast nuclear reactor has been known to be able to cause a significant damage to the steels. Therefore, finding new materials with high corrosion resistance is the goal of much research current days. Likewise, developing a way to prevent corrosion is also the goal of designers of nuclear reactors. In the present study, we studied materials: Fe, FeNi, FeNiCr, and FeNiCrTi (a type of SS 316L austenite steel), comparing their structural stability when interacted with molten liquid lead at 750 °C. The performance of each steel is compared under high-temperature molten lead coolant, checking the structure's stability to see the material resistance to corrosion attack of liquid lead. The corrosion can also be seen from the data of iron diffusion coefficient. The larger of the iron diffusion coefficient can be associated with larger corrosion because there is a high solubility of iron atoms from the steel surface to the molten lead. The popular way to prevent more corrosion is by injecting oxygen into the lead coolant. This current work uses the molecular dynamics method to simulate the corrosion and inhibition phenomena. The research aims to compare the performance of Fe, FeNi, FeNiCr, and FeNiCrTi under liquid lead at a temperature of 750. The diffusion coefficient of iron of material will be calculated to describe quantitatively the corrosion level of those structural materials and the corrosion inhibition by oxygen injection. The study has produced important results that adding Ni, Cr, Ti into a pure iron crystal to build alloy steel will make the material stronger, structurally compact, and more resistant to corrosion. For specific composition of steels, from weaker to stronger that resist from corrosion attack, it is possible to make ordering: Fe<<FeNi<FeNiCr<FeNiCrTi. The composition of FeNiCrTi steel in this work is Fe(75)Ni(10.57)Cr(14.05)Ti(0.40). The high corrosion of FeNiCrTi in the liquid lead is effectively reduced by injecting 0.0112 wt % oxygen into lead coolant as a limit value for maximum corrosion inhibition

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Section: Corrosion Of Fe Feni Fenicr and Fenicrtimentioning

confidence: 99%

“…In our previous work, the performance of FeNiCr steel in the liquid lead by MD method was also investigated [13]. The corrosion of FeNiCr steel was examined by measuring the diffusion coefficient of iron inside the molten lead metal.…”

Section: Introductionmentioning

confidence: 99%

Molecular dynamics simulation of corrosion and its inhibition: comparison of structural stability of Fe/FeNi/FeNiCr/FeNiCrTi steels under high-temperature liquid lead

Arkundato¹,

Syarifah²,

Shafi'i³

et al. 2022

Eureka: PE

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“…This computational method has been succesfully applied in many applications. In previous works, we have used the MD method to study the iron corrosion in nuclear reactor (Arkundato et al, 2013a;2013b), the relationship between temperature and density of liquid lead (Imanullah et al, 2018) and also the performance of steel FeNiCr under high temperature molten liquid lead (Arkundato et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Rigid Procedure to Calculate the Melting Point of Metal Using the Solid-Liquid Phase (Coexistence) Method

et al. 2022

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Melting point, particularly metal, is one of the important data for many applications. For developing new materials, adequate theories for melting point are very crucial. The determination of melting point using the popular phase-change curve method is very easy but usually overestimate. In current work, we determine the melting point of a pure metal (iron) using the method of solid-liquid phase coexistence. For this goal, molecular dynamics simulation was applied to obtain data of trajectories of atoms. Simulation (LAMMPS) and data analysis (OVITO) procedures are strictly applied to obtain the accurate melting point of iron based on the obtained trajectories data. For initial structure design of simulation, we used the ATOMSK program. The melting point of iron obtained using the phase change curve (PCC) method is about 2750 K < TPCC < 3250 K and using the coexistence phase (CP) method is TCP = 2325 K. A more accurate calculation needs to include defects factor in the simulated material and calculation. In this research we use the Morse potential to represent all of the atomic interaction among atoms of Fe material.

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NiO nanowire-containing heat transfer nanofluids for CSP plants: Experiments and simulations to promote their application

Santos

Carrillo‐Berdugo

Domínguez-Núñez

et al. 2022

Journal of Molecular Liquids

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Performance of the Fe-Ni-Cr steel alloy in high temperature molten liquid lead

Cited by 5 publications

References 7 publications

Molecular dynamics simulation of corrosion and its inhibition: comparison of structural stability of Fe/FeNi/FeNiCr/FeNiCrTi steels under high-temperature liquid lead

Molecular dynamics simulation of corrosion and its inhibition: comparison of structural stability of Fe/FeNi/FeNiCr/FeNiCrTi steels under high-temperature liquid lead

Rigid Procedure to Calculate the Melting Point of Metal Using the Solid-Liquid Phase (Coexistence) Method

NiO nanowire-containing heat transfer nanofluids for CSP plants: Experiments and simulations to promote their application

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