2017
DOI: 10.1016/j.msea.2017.05.062
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A modified Taylor model for predicting yield strength anisotropy in age hardenable aluminium alloys

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Cited by 30 publications
(14 citation statements)
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“…Considering β′′ precipitates as a representative case, their average spacing () can be expressed as [17] Here, and are the volume fraction and average radius of the precipitates, respectively. In our previous study [18], and in T6 condition are 0.008 ± 0.0006 and 1.5 ± 0.2 nm, respectively. Utilising these values, was estimated to be ∼43 nm, which is much smaller than the spacing of forest dislocations (for a typical forest dislocation density of 10 14 m −2 , the spacing will be 100 nm).…”
Section: Resultsmentioning
confidence: 84%
“…Considering β′′ precipitates as a representative case, their average spacing () can be expressed as [17] Here, and are the volume fraction and average radius of the precipitates, respectively. In our previous study [18], and in T6 condition are 0.008 ± 0.0006 and 1.5 ± 0.2 nm, respectively. Utilising these values, was estimated to be ∼43 nm, which is much smaller than the spacing of forest dislocations (for a typical forest dislocation density of 10 14 m −2 , the spacing will be 100 nm).…”
Section: Resultsmentioning
confidence: 84%
“…Taylor factor is related to the crystallographic orientation and is defined as total slip amplitude corresponding to a unit macroscopic strain increase [49,50]. For plastically isotropic materials, Taylor factor is given by the following equation [51]…”
Section: Taylor Factor and Grain Fragmentationmentioning
confidence: 99%
“…By combined controlling of ageing treatment and crystallographic texture, in age-hardenable aluminium alloys the anisotropy can be tailored [32]. In another study on Al-Mg-Si alloy sheet specimen, the variation in yield strength in different ageing conditions was determined by considering grain boundary, solid solution and shearable precipitate strengthening [33].…”
Section: In-plane Anisotropy In the Tensile Propertiesmentioning
confidence: 99%