2011
DOI: 10.1016/j.ijfatigue.2010.08.012
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Modeling of residual stress relaxation of fatigue in 2024-T351 aluminium alloy

Abstract: The initial induced compressive residual stresses relax during component operating life and it is important to consider the relaxation phenomenon in the design of the component. In this study, 2024-T 351 aluminium alloy specimens were shot peened under three different shotpeening intensities. Cyclic tests for two load magnitudes were performed for 1, 2, 10, 1000 and 10,000 cycles. The initial and final residual stresses and the cold work after each loading cycle were measured for the three shot-peening intensi… Show more

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Cited by 65 publications
(34 citation statements)
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“…2024-T351 is a typical high strength aluminum that is widely used in aircraft structures, automobile parts, and several other engineering applications [1][2][3]. In order to improve the mechanical properties of this alloy, numerous treatment processes have been invented and investigated in the past several decades.…”
Section: Introductionmentioning
confidence: 99%
“…2024-T351 is a typical high strength aluminum that is widely used in aircraft structures, automobile parts, and several other engineering applications [1][2][3]. In order to improve the mechanical properties of this alloy, numerous treatment processes have been invented and investigated in the past several decades.…”
Section: Introductionmentioning
confidence: 99%
“…Nanoindentation is an indentation test that has commonly been used for probing the local hardness at small length scales on a smooth surface that has undergone metallographic preparation [8][9][10][11][12]. The measured hardness is a function of two variables: the load applied to the indenter and the contact area between the sample material and the indenter [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…In this case, it is necessary to evaluate the stabilized state of residual stresses under cyclic loading. In order to reach this target, many empirical models were developed from experimental results [25][26][27][28][29][30]. However, these models are simples and can't take into account of all the influence parameters with an acceptable accuracy.…”
Section: Introductionmentioning
confidence: 99%