4.7 Article

A fast methodology for the accurate characterization and simulation of laser heat treated blanks

期刊

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijmecsci.2020.106134

关键词

Local properties; Gleeble test; Numerical simulation; Digital image correlation; Inverse method

资金

  1. Italian Ministry of Economic Development, MISE [F/050280/00/X32]

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A new methodology for material characterization of locally heat treated blanks was proposed in this study. Through simulation and experiments, the methodology was proven to accurately predict the deformation behavior of the material.
In this work, a new methodology for the material characterization of locally heat treated blanks is proposed. Laser treatments on the central part of dog-bone specimens, extracted from a strain hardenable Aluminium sheet (AA5754) in wrought condition (H32), were simulated through an inversely tuned Finite Element model (FE) and performed using a CO2 laser. In order to establish a correlation between the temperature history in each point and the corresponding material properties after the heat treatment, preliminary local annealing tests were conducted by means of the Gleeble 3180 system; such heat treated samples were then subjected to Vickers micro-hardness tests along the longitudinal direction in order to obtain data for defining a simple but effective annealing function based on the maximum temperature (T-peak) experienced by the material. Tensile tests on the laser heat-treated specimens were assisted by a Digital Image Correlation (DIC) system, which allowed to obtain the full-field deformation history and, as a consequence, to extract different flow stress curves, since each region of the sample was subjected to different temperature levels. The material behaviour in terms of stress vs. strain curves extracted by DIC could be related to the same variable (T-peak) and finally implemented into a FE model. The proposed methodology revealed to be effective in extracting the flow stress curves (yielding plus hardening) and, as demonstrated by the simulation of the tensile test, it allowed to predict the deformation behaviour of the material with graded properties more accurately than the qualitative approach based on the assignment of different mechanical properties by partitions.

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