The effect of constituent particles in aluminum alloys on fatigue damage evolution: Statistical observations

Harlow, D. Gary; Nardiello, Jerrell A.; Payne, J.R.

doi:10.1016/j.ijfatigue.2009.02.036

Cited by 48 publications

(34 citation statements)

References 4 publications

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“…Literature [9][10] regards the pitting corrosion behaviour of aluminum alloy as a metastable process in essence in the initial corrosion period which has an intrinsic stochastic nature and is affected by many factors [11][12],so the values of corrosion pit damage parameters, including the pit depth H and pit surface length L and surface width W , are of randomness character in the former corrosion period which causes the smaller value of Hausdorff fractal dimension D ,then the pitting corrosion behaviour gradually transforms from metastable status to stable event, during the process ,the rate of new corrosion pit initiation gradually decreases and the former existent corrosion pits incline to the stable growth which makes the values of corrosion pits damage evenly. This uniformed character of corrosion pit damage in the middle and later corrosion stage make the Hausdorff fractal dimension D of parameter H and L W gradually increase, and the fractal characteristics of corrosion pit damage becomes more and more obvious.…”

Section: Discussionmentioning

confidence: 99%

Pitting Corrosion Morphology Characteristics of 7B04 Aluminum Alloys In Airport Environment Based on Fractal Theory

Liu¹,

Zhang²,

Yan³

2018

Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

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Aircraft aluminum alloy is easy to initiate pitting corrosion in the airport environment, and the pitting corrosion topography characteristics could directly affect the fatigue mechanical property of aluminum alloy structure. In order to obtain the pitting corrosion characteristics of 7B04 aluminum alloy in the airport environment, the pitting corrosion test was carried out according to the accelerated corrosion environment spectrum which simulated the airport environment, and the corrosion damage parameters were defined, including corrosion pit depth H , corrosion pit surface length L and the corrosion pit surface width W . During the corrosion test process, the three parameters of typical corrosion pits were successively measured in different corrosion period to obtain the corrosion pit damage size data, then the data was statistically analysed and used to compute the fractal dimension of corrosion damage based on the fractal theory by which to gain the pitting corrosion damage characteristics and its evolvement rules during pitting corrosion process. The computation results show that the corrosion pit damage clearly appears fractal characteristics and the fractal dimension of corrosion pit gradually increases with corrosion time prolongation, which suggests that the corrosion pit damage trends to be shallow and long and moderate wide topography character in the later corrosion period.

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Section: Discussionmentioning

confidence: 99%

Pitting Corrosion Morphology Characteristics of 7B04 Aluminum Alloys In Airport Environment Based on Fractal Theory

Liu¹,

Zhang²,

Yan³

2018

Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

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“…Truncation has a pronounced effect on the statistical behaviour of the data, and thus, the three‐parameter Weibull cdf is well suited for the lower tail of the data. Other uses of the three‐parameter Weibull cdf can be found in previous literature …”

Section: Particle Statisticsmentioning

confidence: 99%

“…It has been conjectured that fatigue cracks nucleate from large constituent particles in aluminium alloys, that is, the largest particles are the most critical in damage evolution modelling. This conjecture, however, has been demonstrated to be incorrect . In that paper, a centre hole was machined in a laboratory specimen using the common 7075‐T6 aluminium alloy (and measuring 0.225 in.…”

Section: Particle Induced Fatigue Crack Statisticsmentioning

confidence: 99%

“…The importance of constituent particles in aluminium alloys has been well documented . The geometric features of particles are key variables in modelling the damage evolution of both corrosion and fatigue crack growth in materials, and as such, their statistical modelling is of great importance .…”

Section: Introductionmentioning

confidence: 99%

“…The importance of constituent particles in aluminium alloys has been well documented. [1][2][3] The geometric features of particles are key variables in modelling the damage evolution of both corrosion and fatigue crack growth in materials, 4 and as such, their statistical modelling is of great importance. [5][6][7][8][9] In the present research, a multimodal cumulative distribution function (cdf) for which the underlying modes are charaterized by a three-parameter Weibull cdf is shown to successfully model the distribution of particles larger than 6.0 μm 2 (to ensure accuracy in area measurement for optical imaging at 20×) in both unstressed and fatigue-damaged 7075-T6 aluminium alloys, based on eight samples (one common alloy and seven teardown samples from retired military airplane outer wing panels).…”

Section: Introductionmentioning

confidence: 99%

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Statistical characterization of the geometric properties of particles in 7075‐T6 aluminium alloy

Haden

Harlow

2014

Fatigue Fract Eng Mat Struct

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Corrosion in aluminium alloys is initiated and sustained at constituent particles within the metal matrix via a localized galvanic process. These particles are also known to play a critical role in fatigue crack initiation and growth. Consequently, statistical characterization of particle geometrical features is critical when modelling corrosion and fatigue. A key statistic is particle size distribution, which was extensively modelled here via imaging of unstressed and fatigued 7075‐T6 aluminium alloys. Fatigued samples were obtained from the outer wing panels of teardown specimens from retired military aircraft. The purpose of this effort was therefore to analyse extensive sets of particle geometry data obtained via microscopy using advanced multimodal statistical modelling and to appropriately characterize the properties of constituent particles and fatigue cracks found in these specimens. The resulting distribution functions for the underlying modes are assumed to be three‐parameter Weibull distribution functions.

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Characterization of phases, tensile properties, and fracture toughness in aircraft‐grade aluminum alloys

Chemin

Afonso

Pascoal

et al. 2019

Mat Design & Process Comms

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The effect of constituent particles in aluminum alloys on fatigue damage evolution: Statistical observations

Cited by 48 publications

References 4 publications

Pitting Corrosion Morphology Characteristics of 7B04 Aluminum Alloys In Airport Environment Based on Fractal Theory

Pitting Corrosion Morphology Characteristics of 7B04 Aluminum Alloys In Airport Environment Based on Fractal Theory

Statistical characterization of the geometric properties of particles in 7075‐T6 aluminium alloy

Characterization of phases, tensile properties, and fracture toughness in aircraft‐grade aluminum alloys

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