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Congratulations Alexander Barlo, Licentiate in Mechanical Engineering!

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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PDRL presentations at Techtank Conference

The 2022 Techtank Conference was held Nov 30 2022 as an online event. The theme of the conference was “Smart Solutions for a Sustainable Production: – Applied methods and tools within stamping, forming and its supporting processes“. Several PDRL researchers took part and contributed to the event. More info Sharing       

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Academic Ceremony 2021

8th of October was the Academic Ceremony at BTH with promotion of PhD’s and installation of professors among other things on the agenda. From Product Development Research Lab and the research subject of Mechanical Engineering we were very happy to see the installation of two new professors in Marco Bertoni, and Sophie Hallstedt. We also […]

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Fracture toughness analysis of aluminum (Al) foil and its adhesion with low-density polyethylene (lpde) in the packing industry

Abstract Liquid food packages consist of various polymers films, which are bonded together with Aluminum foil (Al-foil) using adhesion or by direct heat. The main aim of this research was to define important material properties such as fracture toughness and some FE-simulation material model parameters such as damage initiation, damage evolution, and the adhesion between […]

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A Hybrid Crack Detection Approach for Scanning Electron Microscope Image Using Deep Learning Method

Abstract The scanning electron microscope (SEM) is widely used in the analysis and research of materials, including fracture analysis, microstructure morphology, and nanomaterial analysis. With the rapid development of materials science and computer vision technology, the level of detection technology is constantly improving. In this paper, the deep learning method is used to intelligently identify […]

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PREDICT | 2020-2024

Concluding remarks and results Public report here 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 […]

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Trouser tear testing of thin anisotropic polymer films and laminates

Abstract This research has investigated the essential work of fracture (EWF) from trouser tear test of polyethylene terephthalate (PET), low-density polyethylene (LDPE) films and their corresponding laminate using a convenient cyclic tear test method. Propagation of tear crack in these thermoplastics deflects from the initial crack path due to the material anisotropy. An improvement to […]

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