The PREDICT project have been running between 2020-2024, and was recently closed. Project leader Shafiqul Islam shares the project summary in this video. PREDICT has generated results and tools that are used to increase reliability of failure prediction of sheet metal forming simulation in finite element models (FE-model). The work in this project was focused […]
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Alexander Barlo presented his licentiate thesis entitled “Failure Prediction of Complex Load Cases in Sheet Metal Forming: Emphasis on Non-Linear Strain Paths, Stretch-Bending and Edge Effects” in front of an +50 people hybrid audience of online listeners and physically present people. Alex made a popular presentation of the background of his research and the findings […]
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This postdoctoral position is linked to ongoing research projects at the Department of Mechanical Engineering within simulation of sheet metal forming. Research focus is to achieve a more accurate failure prediction in the sheet metal forming process through a model and simulation-driven strategy. Sharing
Read More The work consists of teaching within and developing our educational programs, as well as participating in and initiating research projects within the department’s research area with a special focus on simulation support for sheet metal forming. Sharing
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Concluding remarks and results PREDICT has generated results and tools that are used to increase reliability of failure prediction of sheet metal forming simulation in finite element models (FE-model). The work in this project was focused to accurately model the effect of complex load cases like non-linear strain path (NLSP), stretch-bending and presence of edge […]
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