Enhancing corrosion resistance of Al 5050 alloy based on surface roughness and its fabrication methods; an experimental investigation

Sajjad, Uzair; Abbas, Aqeel; Sadeghianjahromi, Ali; Abbas, Naseem; Liaw, Jiunn-Woei; Wang, Chi-Chuan

doi:10.1016/j.jmrt.2021.01.096

Cited by 44 publications

(9 citation statements)

References 28 publications

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“…This leads to a concentration of chloride ions, but the vast area that acts as a thin film becomes cathodic, thus leading to severe galvanic corrosion. On the other hand, the base metal has been exposed to general uniform corrosion because the roughness increases the rate of corrosion [19,20].…”

Section: Topography and Microstructurementioning

confidence: 99%

Investigation Nano-coating for the Corrosion Protection of Petroleum storage tanks Steel

Ali¹,

Mahdi²,

Thamer³

2022

ETJ

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Using the BNi-2 alloy nano layer improves corrosion resistance.• Applying DC sputtering as a coating method. • Predicting generated phases for the nanocoating from EDX analysis on equilibrium phase diagrams.This work studies the protection from corrosion in the inner surface of petroleum storage tanks by applying nano-coating on the AISI1018 steel type used in these tanks. BNi-2 alloy, used as coating layer, was deposited using the DC sputtering technique to obtain protection layers of nano-coating. The cyclic potential dynamic polarization technique is used to study and evaluate the resistant metal to localize corrosion, for example, pitting and crevice corrosion. The samples were evaluated in a 3.5% NaCl aqueous solution using the polarization method to determine the corrosion rate. The input parameters of deposition included ion current 16 mA, vacuum 10 -1 mbar, time of deposition was 60 minutes, and the distance between target and substrate was 2.5 cm. The surface roughness of the uncoated specimens was (0.1466 µm), and after coating, it decreased to (0.0933µm). The most important factor that affects the corrosion of the coated steel surface is the surface topography of steel before coating, as it is known that the spattering process coats the facing surface to target better than the inclined surface topography. Therefore, some micro scratches non-coated well worked as nucleation for corrosion as detected in stereo microscope images for coated and uncoated surfaces. By calculating the corrosion rate from cyclic potential dynamic polarization for coated and uncoated workpieces, pitting and crevice corrosion improved approximately ten times compared to the uncoated AISI1018 steel surface.

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Section: Topography and Microstructurementioning

confidence: 99%

Investigation Nano-coating for the Corrosion Protection of Petroleum storage tanks Steel

Ali¹,

Mahdi²,

Thamer³

2022

ETJ

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“…A major concern with Mg microtubes in the medical field is their rapid corrosion in body fluids; stents degrade before healing of the tissue is complete. The corrosion speed of Mg alloys is directly proportional to the surface roughness [20,21]. Sun et al reported that the area of corrosion pits increased as the surface roughness increased [22].…”

Section: Introductionmentioning

confidence: 99%

Achieving thin wall and high surface quality of magnesium alloy tubes in combined process of hollow sinking after die-less mandrel drawing

Kishimoto

2023

Int J Mater Form

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Dimensions and surface roughness of magnesium alloy tubes were evaluated to elucidate the flattening behavior of asperity on the outer surface and the optimal condition for achieving thin wall and high surface quality in the combined process of the hollow sinking after die-less mandrel drawing. ZM21 tubes were drawn using a die after die-less mandrel drawing. Dimensions and surface roughness were measured, and the stress state of the asperity during hollow sinking was evaluated using finite element and slab methods. The results indicated that in hollow sinking after die-less mandrel drawing when the speed ratio was large, both a thin wall and high inner and outer surface qualities can be achieved under low die reduction, where the outer surface roughness was the least, owing to relatively large die pressure and drawing stress. Additionally, enhancing the flattening of the asperity due to bulk plastic deformation in tension was difficult even if drawing stress increased when the speed ratio in die-less mandrel drawing was large. Therefore, when the speed ratio of the die-less mandrel drawing was large before hollow sinking, the largest outer surface flattening was achieved under low die reduction, wherein die pressure was large.

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“…Another consideration is the structure’s topology [ 6 ]. For a potential application, a material such as metals and alloys [ 7 , 8 ], composites, polymers, glass, ceramics, etc., and their lattice structures [ 8 ] are evaluated for their effectiveness in terms of their phase field performance [ 9 ], corrosion [ 10 , 11 ], mechanical properties, microstructure [ 12 ], fracture [ 13 ] as well as fatigue behavior [ 14 ] depending on that application. Such analyses necessitate the use of computational tools.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Stress-Strain Relationship of the Additively Manufactured Lattice Structures

Zhang

Bibi²,

Hussain³

et al. 2022

Micromachines

Self Cite

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Extensive amount of research on additively manufactured (AM) lattice structures has been made to develop a generalized model that can interpret how strongly operational variables affect mechanical properties. However, the currently used techniques such as physics models and multi-physics simulations provide a specific interpretation of those qualities, and are not general enough to assess the mechanical properties of AM lattice structures of different topologies produced on different materials via several fabrication methods. To tackle this problem, this study develops an optimal deep learning (DL) model based on more than 4000 data points, which has been optimized by analyzing three different hyper-parameters optimization schemes including gradient boost regression trees (GBRT), gaussian process (GP), and random forest (RF) with different data distribution schemes such as normal distribution, nth root transformation, and robust scaler. With the robust scaler and nth root transformation, the accuracy of the model increases from R2 = 0.85 (for simple distribution) to R2 = 0.94 and R2 = 0.88, respectively. After feature engineering and data correlation, the stress, unit cell size, total height, width, and relative density are chosen to be the input parameters to model the strain. The optimal DL model is able to predict the strain of different topologies of lattices (such as circular, octagonal, Gyroid, truncated cube, Truncated cuboctahedron, Rhombic do-decahedron, and many others) with decent accuracy (R2 = 0.936, MAE = 0.05, and MSE = 0.025). The parametric sensitivity analysis and explainable artificial intelligence (by using DeepSHAP library) based insights confirm that stress is the most sensitive input to the strain followed by the relative density from the modeling perspective of the AM lattices. The findings of this study would be helpful for the industry and the researchers to design AM lattice structures of different topologies for various engineering applications.

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Enhancing corrosion resistance of Al 5050 alloy based on surface roughness and its fabrication methods; an experimental investigation

Cited by 44 publications

References 28 publications

Investigation Nano-coating for the Corrosion Protection of Petroleum storage tanks Steel

Investigation Nano-coating for the Corrosion Protection of Petroleum storage tanks Steel

Achieving thin wall and high surface quality of magnesium alloy tubes in combined process of hollow sinking after die-less mandrel drawing

Evaluating the Stress-Strain Relationship of the Additively Manufactured Lattice Structures

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