Modelling of superplastic deformation for metallic alloys using a cavity based approach

• Autorzy: Marzbali M. H.

Identyfikatory

DOI

10.5604/01.3001.0010.2039

• Języki publikacji: EN

Abstrakty

EN

Purpose: In this study, modeling of superplastic deformation characteristic for metallic alloys was investigated using GTN failure criteria in viscoplastic framework. Design/methodology/approach: The proposed model studied the simultaneous effects of cavitation and deformation parameter and considered the effects of strain hardening, static and dynamic recoveries, and hydrostatic stress. This cavity based model was then implemented in a creep subroutine in ABAQUS 6.12 finite element software. Findings: Experimental results of Aluminum 5083 from different studies were used to verify the model and evaluate its reliability. Afterwards, numerical simulations for uniaxial tension were performed, and good agreement between experimental and modeling results was obtained. Research limitations/implications: This study showed that using a viscoplastic framework with a cavity criterion ensures more precise pressure-time algorithm, lower deformation time and better failure predictions. These capabilities provides forming more complex parts and different geometries. Accordingly, applying this model is recommended to predict the behaviour of other metallic superplastic alloys.

Słowa kluczowe

EN

modelling; superplastic deformation; viscoplastic; cavity; simulation

PL

modelowanie; odkształcenie nadplastyczne; lepkoplastyczność; symulacja

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2017
• Tom: Vol. 81, nr 2
• Strony: 61--96
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Marzbali M. H.

• Mechanical Engineering Department, Babol Noshirvani University of Technology, P.O. Box 47137-64568, Babol, Iran

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).