Alexander Barlo successfully defended his PhD thesis “Towards Sustainable and Intelligent Manufacturing Processes: Data-Driven Insights from Automotive Manufacturing” in front of a full house at BTH, and also some 45 […]
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Abstract With the increased focus on smart manufacturing and Industry 4.0, the use of simulations for the creation of cyber-physical manufacturing systems is increasing. The sheet metal forming manufacturing process, […]
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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 […]
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ABSTRACT Sheet metal forming (SMF) simulations are traditionally carried out with rigid active forming surfaces. This means that the elasticity and dynamics of presses and die structures are ignored. The […]
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ABSTRACT In sheet metal stamping, the occurrence of strain localization in a deformed sheet is considered a failure. As so, sheet metal’s formability is conventionally evaluated using the Forming Limit […]
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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 […]
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Abstract Blanked edge surfaces are rough and hardened. They therefore lead to inhomogeneous deformation on the edge, which can trigger localization within the shear affected zone (up to few mm […]
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Abstract Ability to predict and control involved parameters and hence the outcome of sheet metal forming processes demand holistic knowledge of the product/-process parameter influences and their contribution in shaping […]
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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 […]
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BTH får drygt 6,5 miljoner kronor av Vinnova för arbetet att förutse och förhindra sprickor som uppstår vid plåtformning
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