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A digital image correlation based methodology to characterize formability in tube forming
Valentino AM Cristino1; Joao P Magrinho2; Gabriel Centeno3; Maria Beatriz Silva2; Paulo AF Martins2
2019-02
Source PublicationThe Journal of Strain Analysis for Engineering Design
ISSN0309-3247
Volume54Issue:2Pages:139-148
Abstract

This article describes a methodology to characterize the failure limits by necking and fracture, and to determine the critical value of ductile damage in tube forming. The methodology makes use of digital image correlation, thickness measurements and force–displacement evolutions to obtain the strain loading paths and the strain values at the onsets of failure by necking and fracture. The onset of failure by necking is determined by a new technique that combines the strain and force–displacement evolutions whereas the fracture strains at the cracked regions of the tubes are obtained by a similar technique utilized by the authors in sheet metal forming. Transformation of the strain loading paths from principal strain space into the space of effective strain versus stress-triaxiality allows determining the critical experimental value of ductile damage at the onset of failure by necking. The methodology is applied to tube expansion with circular, elliptical and square cross-section punches and results confirm its importance and helpfulness for researchers and engineers involved in the development and optimization of industrial tube forming processes.

KeywordTube Forming Digital Image Correlation Formability Failure Experimentation Finite Element Method
DOI10.1177/0309324718823629
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Mechanics ; Materials Science
WOS SubjectEngineering, Mechanical ; Mechanics ; Materials Science, Characterization & Testing
WOS IDWOS:000466431400006
Scopus ID2-s2.0-85060626962
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Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorPaulo AF Martins
Affiliation1.Department of Electromechanical Engineering, University of Macau, Taipa, China
2.IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Portugal
3.Department of Mechanical and Manufacturing Engineering, University of Seville, Seville, Spain
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Valentino AM Cristino,Joao P Magrinho,Gabriel Centeno,et al. A digital image correlation based methodology to characterize formability in tube forming[J]. The Journal of Strain Analysis for Engineering Design, 2019, 54(2), 139-148.
APA Valentino AM Cristino., Joao P Magrinho., Gabriel Centeno., Maria Beatriz Silva., & Paulo AF Martins (2019). A digital image correlation based methodology to characterize formability in tube forming. The Journal of Strain Analysis for Engineering Design, 54(2), 139-148.
MLA Valentino AM Cristino,et al."A digital image correlation based methodology to characterize formability in tube forming".The Journal of Strain Analysis for Engineering Design 54.2(2019):139-148.
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