4.7 Article

Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement

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DOI: 10.1016/j.jmrt.2019.12.070

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Hot deformation; Constitutive modelling; Activation energy; Stress exponent; Strain compensation

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The generalised reduced gradient refinement was applied to optimise the constitutive constants obtained from hyperbolic-sine Arrhenius equation when describing the flow stress of two titanium alloys subjected to hot compression testing. The results showed that conelation coefficients improved from 0.96 and 0.98 to 0.99, while the average absolute relative error and the root mean square error reduced by more than 30%. The simple generalised reduced gradient refinement can be used to improve the prediction of flow stress when hyperbolic-sine Arrhenius equation or other phenomenological and physical models are used for describing hot working behaviour of metals and alloys. (C) 2019 The Author. Published by Elsevier B.V.

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