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

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

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 correlation coefficients improved from...

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Main Author: Michael Oluwatosin Bodunrin
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Journal of Materials Research and Technology
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785419315005
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spelling doaj-5af3ae93ecd04824ae22e0545f66429b2020-11-25T03:10:40ZengElsevierJournal of Materials Research and Technology2238-78542020-03-019223762386Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinementMichael Oluwatosin Bodunrin0Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Corresponding author.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 correlation 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. Keywords: Hot deformation, Constitutive modelling, Activation energy, Stress exponent, Strain compensationhttp://www.sciencedirect.com/science/article/pii/S2238785419315005
collection DOAJ
language English
format Article
sources DOAJ
author Michael Oluwatosin Bodunrin
spellingShingle Michael Oluwatosin Bodunrin
Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement
Journal of Materials Research and Technology
author_facet Michael Oluwatosin Bodunrin
author_sort Michael Oluwatosin Bodunrin
title Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement
title_short Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement
title_full Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement
title_fullStr Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement
title_full_unstemmed Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement
title_sort flow stress prediction using hyperbolic-sine arrhenius constants optimised by simple generalised reduced gradient refinement
publisher Elsevier
series Journal of Materials Research and Technology
issn 2238-7854
publishDate 2020-03-01
description 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 correlation 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. Keywords: Hot deformation, Constitutive modelling, Activation energy, Stress exponent, Strain compensation
url http://www.sciencedirect.com/science/article/pii/S2238785419315005
work_keys_str_mv AT michaeloluwatosinbodunrin flowstresspredictionusinghyperbolicsinearrheniusconstantsoptimisedbysimplegeneralisedreducedgradientrefinement
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