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Multilevel Material Modeling to Study Plastic Deformation for Sheet-Bulk Metal Forming Under Different Loading Histories

  • Shahbaz Ahmed
  • , Tengfei Lyu
  • , Stefan Löhnert*
  • , Peter Wriggers
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Abstract

The simulation of polycrystalline materials provides detailed insight into the material characteristic. Sheet-bulk metal forming is a complex process that needs comprehensive information about the formed metallic material. Further, transient hardening and Bauschinger effects make this process even more challenging. In order to accurately predict the forming process and the final shape of the formed part under these circumstances, one needs to consider sophisticated elastoplastic material models. Plastic deformation is based on a microscopic length scale phenomenon that involves the dislocation activities within the microstructure. Therefore, a physically motivated dislocation density-based material model is developed to consider the effect of plastic deformation for polycrystalline materials. However, the resolution of the material at a microscopic length scale quickly leads to limitations regarding computation time and cost. Due to the high geometrical resolution, it is impossible to simulate large geometries and resolve the complex plastic transformation at the micro-level within the entire domain. Therefore, based on insights gained with representative volume element simulations of the microstructure an effective plasticity model is developed as well. The effective material model can be applied in coarse scale simulations. It can also provide an accurate mechanical response under non-proportional loading while considering isotropic, as well as kinematic hardening. Additionally, this effective material model can be easily extended to anisotropic yield functions. Both length-scale models are used to validate the mechanical response of ferritic steels under cyclic loading.

Original languageEnglish
Title of host publicationLecture Notes in Production Engineering
PublisherSpringer Nature
Pages334-353
Number of pages20
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Production Engineering
VolumePart F1168
ISSN (Print)2194-0525
ISSN (Electronic)2194-0533

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Economics, Econometrics and Finance (miscellaneous)
  • Safety, Risk, Reliability and Quality

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