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    <title>Auteurs : Marta Cristina Oliveira</title>
    <link>https://popups.uliege.be/esaform21/index.php?id=3588</link>
    <description>Publications of Auteurs Marta Cristina Oliveira</description>
    <language>fr</language>
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      <title>Numerical study of the square cup stamping process: a stochastic analysis </title>
      <link>https://popups.uliege.be/esaform21/index.php?id=2158</link>
      <description>The industrial demand for products with better quality and lower production costs have encouraged the widespread application of the finite element analysis (FEA) in the development and optimization of sheet metal forming processes. To ensure that the FEA solutions are reliable and robust it is important to take into account the uncertainties that inevitably arise in a real industrial environment. In this context, a numerical study on the influence of the material and process uncertainty in the stamping results of a square cup is presented. In this analysis, it is assumed uncertainty in the elasticity properties, hardening law parameters, anisotropy coefficients, blank thickness, friction coefficient and in the blank holder force. The effect of the uncertainty in these input parameters is evaluated in the punch force, equivalent plastic strain, thickness and cup geometry. Firstly, quasi-Monte Carlo method was used to evaluate the variability in the simulation outputs, considering the uncertainty of the input parameters. This analysis shows that the geometry is the output most sensitive to the uncertainty of the input parameters. Afterwards, a variance-based sensitivity analysis was carried out to identify the input parameters that most influence the output variability. It was concluded that the hardening law parameters and the anisotropy coefficients have the most influence in the stamping results variability of a square cup.  </description>
      <pubDate>Tue, 23 Mar 2021 13:53:05 +0100</pubDate>
      <lastBuildDate>Fri, 02 Apr 2021 09:46:28 +0200</lastBuildDate>
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      <title>Forming defects prediction in cup drawing and embossing of a thick steel sheet</title>
      <link>https://popups.uliege.be/esaform21/index.php?id=1525</link>
      <description>The accurate prediction of forming defects is fundamental for the virtual try-out of metallic sheet components. However, the constitutive model can have a strong impact on the numerical predictions, namely the cup earing, the occurrence of wrinkles and the tearing failure. The process conditions considered in this work are the ones established for the “Benchmark 2 – Cup Drawing of Anisotropic Thick Steel Sheet”, proposed under the Numisheet 2018 international conference. The axisymmetric cups are obtained from a steel sheet with 2.8 mm of thickness, resorting to different process conditions to induce different defects. The advanced yield criterion proposed by Cazacu and Barlat is used to define the anisotropic behavior of the blank. The calibration of the material parameters is carried out by fitting the following experimental data from: (i) uniaxial tensile tests performed in every 15º to the rolling direction; (ii) biaxial tension tests to evaluate the directions of the plastic strain rates in the first quadrant of the yield loci. The numerical predictions are compared with the experimental measurements, allowing to assess the accuracy of the finite element model to predict each type of forming defect. The cup earing and the strain localization are accurately predicted, while the wrinkles amplitude is clearly underestimated. </description>
      <pubDate>Mon, 22 Mar 2021 20:07:36 +0100</pubDate>
      <lastBuildDate>Mon, 12 Apr 2021 10:56:43 +0200</lastBuildDate>
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