2015
DOI: 10.1179/1743284714y.0000000694
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Constitutive behaviour in as quenched Al–5Cu–0·4Mn alloy during hot deformation

Abstract: The overburning temperature of the ZL205A (Al–5Cu–0·4Mn) alloy is first determined by differential scanning calorimetry analysis. Then, the solid solution temperature of ZL205A was determined by metallurgical microstructure observation. Isothermal compression tests of the as quenched ZL205A were conducted in temperature from 25 to 500°C and the strain rate from 0·001 to 1 s−1. The deformation behaviour of the as quenched ZL205A was investigated. The prediction of the flow stresses were studied using artificial… Show more

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Cited by 6 publications
(4 citation statements)
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“…The previous study tried to build the constitutive model of as-quenched alloys, e.g. the physical model, the phenomenological model and the artificial neural network model (Guo and Wu, 2018; Yang et al , 2015; Chobaut et al , 2015; Li et al , 2017; Yang et al , 2012; Li et al , 2019; Wang et al , 2016; Wang et al , 2014; Wu and Guo, 2018; Robinson et al , 2012). Guo and Wu (2018) built a dislocation based physical model, which considered the quench-induced precipitates.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The previous study tried to build the constitutive model of as-quenched alloys, e.g. the physical model, the phenomenological model and the artificial neural network model (Guo and Wu, 2018; Yang et al , 2015; Chobaut et al , 2015; Li et al , 2017; Yang et al , 2012; Li et al , 2019; Wang et al , 2016; Wang et al , 2014; Wu and Guo, 2018; Robinson et al , 2012). Guo and Wu (2018) built a dislocation based physical model, which considered the quench-induced precipitates.…”
Section: Introductionmentioning
confidence: 99%
“…However, the internal state variables of this model were complicated and were not easily implemented in FEM codes. Yang et al (2015) predicted the as-quenched A356 alloy using an artificial neural network. However, this model offered no physical insight.…”
Section: Introductionmentioning
confidence: 99%
“…Modelling and simulation are approaches which are widely used to study the high-temperature deformation behaviour and characterise microstructure evolution during the high-temperature deformation of a wrought aluminium alloy. [5][6][7] The main focus of modelling and simulation nowadays for the high-temperature deformation of wrought aluminium alloys may be summarised as follows: (1) characterising the workability and optimising size parameters of parts by reproducing a thermomechanical process using the finite element method that cannot well present microstructure evolution. [8][9][10][11] Only some finite element software on thermomechanical processing can present grain size evolution through models embedded therein constructed based on experience instead of physical significance.…”
Section: Introductionmentioning
confidence: 99%
“…Modelling and simulation are approaches which are widely used to study the high-temperature deformation behaviour and characterise microstructure evolution during the high-temperature deformation of a wrought aluminium alloy. 57…”
Section: Introductionmentioning
confidence: 99%