Modelling Corrosion Behavior of Friction Stir Processed Aluminium Alloy 5083 Using Polynomial: Radial Basis Function

Ramalingam, Vaira Vignesh; Padmanaban, R.

doi:10.1007/s12666-017-1110-1

Cited by 39 publications

(18 citation statements)

References 19 publications

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“…The β ‐phase particles were often seen in grain boundaries of 5083 alloy while slightly lower possibilities of existence of Mn and Fe rich brittle intermetallic phases such as Al 6 (Fe,Mn), Al 7 (Fe,Mn), and Al 12 (Fe,Mn) 3 Si. The second phase and intermetallic particles were found to be formed due to the presence of elements like Mg, Mn, Fe, Si, and Cr in base and filler alloys . The results of EDS analysis on FZ of all weldments are given in Table .…”

Section: Resultsmentioning

confidence: 99%

“…As the Al 6 (Fe,Mn) intermetallic particles have more noble potential than the aluminum matrix and other Mg‐rich particles, it remained undamaged in the corroded surface. Meanwhile, the higher pH‐induced selective dissolution of Al from Al 3 Fe and made the particle surface becomes rich in Fe and bright in color …”

Section: Resultsmentioning

confidence: 99%

“…At the boundary of Al 6 (Fe,Mn) intermetallics pitting like‐crevices were formed due to galvanic coupling. In this case, the oxygen reduction occurred on the intermetallic surface due to the cathodic reaction, with the subsequent development of hydroxide anion:

{normalO}_{2} + {2 H}_{2} O + 4 \bar{normale} \to 4 O \bar{normalH}

…”

Section: Resultsmentioning

confidence: 99%

“…So the microstructural changes occurred during welding causes more anodic reactions and induces the formation of pits . The fusion welding processes can instigate β ‐phase precipitation and grow it in size along the grain boundaries whereas in solid‐state welding processes the dispersion and partial dissolution of anodic β ‐phase particles could result in improved corrosion resistance . The precipitation of active β ‐phase occurs not only in grain boundaries, but also nearer to the intermetallics such as Al 6 (Fe,Mn) and Mg 2 Si.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Pulse Duration on Corrosion and Impression Creep Properties of AA5083‐H111 Al–Mg Alloy Weldments Processed by P‐GTAW

Umar

Sathiya

2018

Adv Eng Mater

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In this work, the corrosion and impression creep properties of weldments are determined using potentiodynamic polarization test and impression creep test. It is evident that the shorter pulse duration results in comparatively finer grains and reduces the loss of magnesium in fusion zone, which facilitates an increase in precipitation of anodic β-phase (Al 3 Mg 2 ) and Mg 2 Si particles in the grain boundaries. It leads to the formation of pits by dissolving Mg atoms and propagate along the interdendritic region and finally corrode the surface thoroughly. On contrary, the increase in pulse duration results in uniform distribution of iron-rich Al 6 (Fe,Mn) intermetallics as well as Fe and Mn particles in the interdendritic region which induce localized cathodic reaction and these localized cathodes assisted in achieving noble corrosion resistance by increasing the width of passive region. Also, an increase in creep resistance is attained with an increase in activation energy at a temperature of 573 K owing to the uniform dispersion of iron-rich Al 6 (Fe, Mn) intermetallics in the grain boundaries of weldments processed with longer pulse duration. Hence, it is inferred from this research that the rise in pulse duration improves the corrosion and creep resistance of weldments by altering the morphology and surface distribution of intermetallics.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

{normalO}_{2} + {2 H}_{2} O + 4 \bar{normale} \to 4 O \bar{normalH}

…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of Pulse Duration on Corrosion and Impression Creep Properties of AA5083‐H111 Al–Mg Alloy Weldments Processed by P‐GTAW

Umar

Sathiya

2018

Adv Eng Mater

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“…Recently, artificial intelligence systems are gaining momentum in the field of intelligent manufacturing, process control, smart computation, complex decision analysis systems and design optimization [12][13][14]. The development of artificial intelligence systems is catego-rized as expert systems and artificial neural network systems.…”

Section: Aluminium Alloy Aa5083 Is Prone To Intergranular Corrosion Imentioning

confidence: 99%

Soft computing model for analysing the effect of friction stir processing parameters on the intergranular corrosion susceptibility of aluminium alloy AA5083

Vignesh

Padmanaban

Chinnaraj

2018

Koroze a Ochrana Materialu

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Aluminium alloy AA5083 is prone to intergranular corrosion in marine environments. In an attempt to reduce the intergranular corrosion, AA5083 was subjected to friction stir processing (FSP). The FSP experimental trials were conducted as per face-centered central composite design with three levels of variation in FSP process parameters viz. tool rotation speed (TRS), tool traverse speed (TTS) and tool shoulder diameter (SD). Intergranular corrosion susceptibility of the processed specimens was assessed by performing nitric acid mass loss test. The mass loss of the specimens was correlated with the intergranular corrosion susceptibility as per the standard ASTM G67-13. The experimental results indicate that FSP had significantly reduced the intergranular corrosion susceptibility of the AA5083 alloy. Soft computing techniques namely Artificial Neural Network, Mamdani Fuzzy system, and Sugeno Fuzzy system were used to predict the intergranular corrosion (IGC) susceptibility (mass loss) of the friction stir processed specimens. Among the developed models, Sugeno fuzzy system displayed minimum percentage error in prediction. So Sugeno fuzzy system was used to analyze the effect of friction stir processing process parameters on the IGC of the processed specimens. The results suggest that stir processing of AA5083 at a TRS of 1300 rpm, TTS of 60 mm/min and SD of 21 mm would make the alloy least susceptible to intergranular corrosion.

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Simulation of Friction Stir Welding of Aluminium Alloy AA5052 – Tailor Welded Blanks

Siddharth

Padmanaban

Vignesh

2019

Advances in Intelligent Systems and Computing

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Modelling Corrosion Behavior of Friction Stir Processed Aluminium Alloy 5083 Using Polynomial: Radial Basis Function

Cited by 39 publications

References 19 publications

Effect of Pulse Duration on Corrosion and Impression Creep Properties of AA5083‐H111 Al–Mg Alloy Weldments Processed by P‐GTAW

Effect of Pulse Duration on Corrosion and Impression Creep Properties of AA5083‐H111 Al–Mg Alloy Weldments Processed by P‐GTAW

Soft computing model for analysing the effect of friction stir processing parameters on the intergranular corrosion susceptibility of aluminium alloy AA5083

Simulation of Friction Stir Welding of Aluminium Alloy AA5052 – Tailor Welded Blanks

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