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

Michael Oluwatosin Bodunrin | Zendy

Open Access

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

Author(s) -

Michael Oluwatosin Bodunrin

Publication year - 2020

Publication title -

journal of materials research and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.832

H-Index - 44

eISSN - 2214-0697

pISSN - 2238-7854

DOI - 10.1016/j.jmrt.2019.12.070

Subject(s) - hyperbolic function , materials science , arrhenius equation , flow stress , square root , sine , thermodynamics , flow (mathematics) , compression (physics) , stress (linguistics) , simple (philosophy) , mathematical analysis , mathematics , mechanics , metallurgy , physics , composite material , classical mechanics , strain rate , geometry , linguistics , philosophy , kinetics , epistemology

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.

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