A data-driven model for predicting the fatigue life of 7075–2 T651 aluminum alloy considering the effects of the size of pits

Yu, Xuanrui; Feng, Zhang Gao; Yu, Hu Tian; Xiang, Song An

doi:10.1016/j.istruc.2022.12.111

Cited by 5 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Li et al [ 16 ] evidenced preferential sites of corrosion initiation in the alloy matrix close to Al–Fe–Cu–Mn intermetallic particle, and observed that corrosion pits in the alloy show enrichment in chlorides and hydroxides. Because 7075‐T651 Al alloy is affected by chloride‐induced corrosion in the marine environment, Yu XunRui et al [ 17 ] proposed an empirical formula to study the corrosion fatigue life of 7075‐T651 Al alloy based on back‐propagation (BP) neural network model, considering the coupling effect of pit length, depth, and width. Jegdi et al [ 18 ] determined the resistance to pit formation based on the difference in pitting potential and corrosion potential and determined the resistance to pit growth based on the amount of charge consumed during the pit growth process.…”

Section: Introductionmentioning

confidence: 99%

Morphological characteristics and geometric prediction model of pits in complex corrosion environment

Chen,

Ma,

Song

et al. 2024

Materials & Corrosion

View full text Add to dashboard Cite

For aircraft serving in coastal environments, the aluminum alloy skin is exposed to high temperature, humidity, and salt environment for a long time. Pitting and exfoliation will affect its normal service life. In this article, static salt spray experiments and electrochemical tests were carried out on 2198‐T8 Al–Li alloy in nine different corrosive environments. The effects of salt concentration, temperature, and humidity on the corrosion behavior were analyzed and compared. The relationship between corrosion environment parameters and pits was established. The results show that, under the same corrosion environment, the length, width, and depth of the pits all follow the log‐normal distribution; compared with the salt concentration and humidity, the increase in temperature has the most obvious promotion on the corrosion rate. Based on the frequency statistics of pit size and electrochemical test results, the pit morphology was simplified to a semiellipsoid geometric model, and the pit size in different corrosive environments was predicted. The predicted size data all fall within the 1.5‐fold dispersion region.

show abstract

Section: Introductionmentioning

confidence: 99%

Morphological characteristics and geometric prediction model of pits in complex corrosion environment

Chen,

Ma,

Song

et al. 2024

Materials & Corrosion

View full text Add to dashboard Cite

show abstract

“…The aircraft industry makes substantial use of aluminium alloy 7075 because of its high strength, lightweight, and resistance to corrosion [1,2]. This alloy is utilized to create control valve components, missile parts, gears and shafts, in addition to fittings for aircraft in the fields of aerospace and energy production [3].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations of Microstructural and Mechanical Behaviour of Aluminium Alloy 7075 Hybrid Nanocomposites

Kishore,

Padal,

Raju

2023

CTP

View full text Add to dashboard Cite

In this paper, the microstructural and mechanical characterisation of hybrid composites with a metal matrix was conducted. Al2O3 nanoparticles and CNTs were added to strengthen an aluminium alloy (AA 7075) using solid-state powder metallurgy. Utilizing XRD analysis and scanning electron microscope (SEM), microstructural characterization was carried out. Uniaxial compression and microhardness testing were performed to determine how the hybrid composites behaved mechanically. The microstructural research revealed that the nanoparticle dispersion in the matrix is uniform. The XRD plots and the Williamson-Hall equation were used to evaluate the crystallite size, lattice strain and dislocation density. In comparison to the base alloy, the composites have better strength and micro hardness.

show abstract

The influence Cl− on stress corrosion of 7xxx series aluminium alloys studied by experimental and simulation technology

Yang,

Fan,

Zhang

2024

Heliyon

View full text Add to dashboard Cite

A data-driven model for predicting the fatigue life of 7075–2 T651 aluminum alloy considering the effects of the size of pits

Cited by 5 publications

References 18 publications

Morphological characteristics and geometric prediction model of pits in complex corrosion environment

Morphological characteristics and geometric prediction model of pits in complex corrosion environment

Experimental Investigations of Microstructural and Mechanical Behaviour of Aluminium Alloy 7075 Hybrid Nanocomposites

The influence Cl− on stress corrosion of 7xxx series aluminium alloys studied by experimental and simulation technology

Contact Info

Product

Resources

About