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Experimental and numerical study of DC04 sheet metal behaviour—plastic anisotropy identification and application to deep drawing

  • Walid GhennaiEmail author
  • Ouzine Boussaid
  • Hocine Bendjama
  • Badis Haddag
  • Mohammed Nouari
ORIGINAL ARTICLE
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Abstract

This paper deals with the identification and modelling of the deformation behaviour of DC04 sheet metal. An application of the identified behaviour model in the framework of finite element (FE) simulation of deep drawing is performed. Uniaxial tensile tests in three directions are performed to reveal the in-plane plastic anisotropy of the DC04 sheet. The Hill48 quadratic criterion is introduced to represent the initial plastic anisotropy, while the work hardening is represented by power and exponential type laws. Parameters of the established behaviour model are identified using two methods based on Hill48 criterion. FE simulations of uniaxial tensile tests are carried out to validate the identified parameters and thus retain the identification method giving best fitting of performed tests. The identified plastic behaviour model, including initial plastic anisotropy and hardening, is then introduced in FE simulation of deep drawing of waterproof case for a truck, in which the effect of blank-holder force on the drawpiece quality is analysed in order to determine the optimum thickness. Then, the effect of combination between plastic anisotropy and friction anisotropy on the sheet thickness distribution is investigated. The performed analysis shows that the plastic and friction anisotropies have an effect on the DC04 sheet metal deformation.

Keywords

DC04 sheet Plastic anisotropy Identification Friction anisotropy Tensile tests Deep drawing FE modelling 

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Notes

Acknowledgments

The authors would like to thank the Rouiba SNVI Company of industrial vehicles in Algiers (Algeria) that gave us the vehicle body work material for this study. Thanks for the laboratory LEM3 at InSIC in Saint-Dié-des-Vosges (France) for the acceptance and contribution to perform numerical simulations.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Walid Ghennai
    • 1
    Email author
  • Ouzine Boussaid
    • 2
  • Hocine Bendjama
    • 3
  • Badis Haddag
    • 4
  • Mohammed Nouari
    • 4
  1. 1.Laboratoire de Mécanique Industrielle LMI, Department of Mechanical EngineeringBadji Mokhtar-Annaba UniversityAnnabaAlgeria
  2. 2.Laboratoire de Recherche en Risque Industriels Contrôle et Sureté L2RCS, Department of Mechanical EngineeringBadji Mokhtar-Annaba UniversityAnnabaAlgeria
  3. 3.Research Center in Industrial Technologies CRTIAlgiersAlgeria
  4. 4.Laboratoire d’Etude des Microstructures et de Mécanique des MatériauxLEM3 UMR CNRS 7239, Institut Mines-Telecom, GIP-InSICUniversity of LorraineSaint-Dié-des-VosgesFrance

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