New scaling procedure for quantitative determination of surface anisotropy–application to plastic deformation of AISI 316 L stainless steel

Kubisztal, Julian; Kubisztal, M.; Haneczok, G.

doi:10.1088/2051-672x/ab61e4

Cited by 4 publications

(10 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was found that for the surface topography map and for Fe, Cr, Ni, Mo, and Mn element distribution maps A R < 2 (changes from 1.1 to 1.5), which corresponds to a lack of surface anisotropy. [ 37–39 ] The presented results allow concluding that both geometric features and chemical composition are homogeneously distributed on the material surface (there is no privileged direction). Therefore, it is expected that the appearance of local corrosion pits over time should also be random.…”

Section: Resultsmentioning

confidence: 72%

“…Based on the map and images shown in Figures 1a and 1b a possible anisotropy of the surface features and/or element distribution of 316L steel in the initial state was analyzed. The angular power spectral density function PSD(ϕ), as well as the anisotropy ratio (A R ), [37][38][39] were determined and the results are presented in Figure 2b,c. It was found that for the surface topography map and for Fe, Cr, Ni, Mo, and Mn element distribution maps A R < 2 (changes from 1.1 to 1.5), which corresponds to a lack of surface anisotropy.…”

Section: Initial State Of Sample Surfacementioning

confidence: 99%

See 1 more Smart Citation

Corrosion damage of 316L steel surface examined using statistical methods and artificial neural network

Kubisztal

Haneczok

2020

Materials & Corrosion

Self Cite

View full text Add to dashboard Cite

Detailed examination of corrosion-induced changes of the 316L steel surface (immersed in 5 wt% NaCl solution) is presented and discussed. The evolution of the stable pit depth (h av) with the immersion time (t) was established using 3D maps and statistic techniques. It was found that h t n av ∝ with n ≈ 0.5. Moreover, determination of the pit area allows estimating the curve current density (j) versus the immersion time and it was found that j t m − ∝ with m ≈ 1. A novel technique for surface corrosion degree determination is based on analysis of 2D grayscale images instead of black and white images showing that corrosion morphology was elaborated. For this purpose a three-layered, feed-forward neural network with the Levenberg-Marquardt backpropagation training algorithm was used. It was shown that a dependence corrosion degree versus immersion time (S-type curve) can be fully described by the proposed procedure.

show abstract

Section: Resultsmentioning

confidence: 72%

Section: Initial State Of Sample Surfacementioning

confidence: 99%

Corrosion damage of 316L steel surface examined using statistical methods and artificial neural network

Kubisztal

Haneczok

2020

Materials & Corrosion

Self Cite

View full text Add to dashboard Cite

show abstract

“…The parameters that describe quantitatively the material surface topography, i.e., the arithmetic mean deviation ( S a ), maximum peak height ( S p ), maximum valley depth ( S v ), skewness ( S sk ), and excess kurtosis ( S ku ) were determined. The detailed description of the parameters can be found elsewhere [ 41 , 42 , 43 , 44 , 45 , 46 ].…”

Section: Methodsmentioning

confidence: 99%

Corrosion Resistance of the CpTi G2 Cellular Lattice with TPMS Architecture for Gas Diffusion Electrodes

et al. 2020

Self Cite

View full text Add to dashboard Cite

The corrosion of materials used in the design of metal-air batteries may shorten their cycle life. Therefore, metal-based materials with enhanced electrochemical stability have attracted much attention. The purpose of this work was to determine the corrosion resistance of commercially pure titanium Grade 2 (CpTi G2) cellular lattice with the triply periodic minimal surfaces (TPMS) architecture of G80, D80, I-2Y80 in 0.1 M KOH solution saturated with oxygen at 25 °C. To produce CpTi G2 cellular lattices, selective laser melting technology was used which allowed us to obtain 3D cellular lattice structures with a controlled total porosity of 80%. For comparison, the bulk electrode was also investigated. SEM examination and statistical analysis of the surface topography maps of the CpTi G2 cellular lattices with the TPMS architecture revealed much more complex surface morphology compared to the bulk CpTi SLM. Corrosion resistance tests of the obtained materials were conducted using open circuit potential method, Tafel curves, anodic polarization curves, and electrochemical impedance spectroscopy. The highest corrosion resistance and the lowest material consumption per year were revealed for the CpTi G2 cellular lattice with TPMS architecture of G80, which can be proposed as promising material with increased corrosion resistance for gas diffusion in alkaline metal-air batteries.

show abstract

“…The quantitative analysis of CPD distribution involves the analysis of local CPD magnitude in relation to an arbitrary level that is the arithmetic average over all the CPD values on the map (CPD av ). Moreover, the root mean square deviation (CPD rms ), skewness (CPD sk ) and kurtosis (CPD ku ) were determined using the following formulas [38][39][40][41]:…”

Section: Surface Analysismentioning

confidence: 99%

“…Histograms of the CPD values are shown in Figure 6. The detailed description of the histograms' preparation can be found elsewhere [38][39][40][41]. Briefly, the deviation from a normal distribution is quantitatively represented by the skewness (CPDsk) and kurtosis (CPDku).…”

Section: Surface Damagementioning

confidence: 99%

Water-Induced Corrosion Damage of Carbon Steel in Sulfolane

et al. 2020

Self Cite

View full text Add to dashboard Cite

Sulfolane in contact with water and oxygen forms acidic (by-) products that are major factors in accelerating the corrosion of carbon/stainless steel. In consequence, water-induced corrosion damage can be a serious problem in industrial systems. Hence, the determination of the corrosion resistance of AISI 1010 steel immersed in sulfolane containing 0 to 6 vol.% water was the principal objective of the study. Evaluation of the corrosion resistance of steel electrodes was performed using a potentiodynamic technique and scanning Kelvin probe microscopy. It was observed that the corrosion products layer that formed on the surface of AISI 1010 steel partially protects it against corrosion in sulfolane with a water concentration in the range from 1 vol.% to 4 vol.%. Interestingly, amounts of water above 4 vol.% cause a break-down of the corrosion products layer and deteriorate the corrosion resistance of AISI 1010 steel as well. Moreover, the relationship between the fractal dimension, corrosion degree of the steel surface and water concentration in sulfolane was investigated. The fractal dimension was determined using 2D grayscale images of AISI 1010 steel registered through a scanning electron microscope. It was noticed that both the fractal dimension and the corrosion degree rose with the increased water concentration in sulfolane.

show abstract

New scaling procedure for quantitative determination of surface anisotropy–application to plastic deformation of AISI 316 L stainless steel

Cited by 4 publications

References 27 publications

Corrosion damage of 316L steel surface examined using statistical methods and artificial neural network

Corrosion damage of 316L steel surface examined using statistical methods and artificial neural network

Corrosion Resistance of the CpTi G2 Cellular Lattice with TPMS Architecture for Gas Diffusion Electrodes

Water-Induced Corrosion Damage of Carbon Steel in Sulfolane

Contact Info

Product

Resources

About