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Importance of Plasticity for GISSMO Calibration in Automotive Safety Applications
GISSMO has become an incredibly flexible tool since its inception. An overview is not to be presented here owing to the fact it is coved extensively by other ...
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Conferences
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14th European LS-DYNA Conference 2023
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Metals
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Prepreg forming, curing and structural analysis for an aero engine component
Carbon fibre composites have the potential of reducing weight and thereby the carbon footprint of an aero engine component due to the high strength and ...
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Conferences
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14th European LS-DYNA Conference 2023
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Manufacturing/Process Simulation
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Coil Winding Simulations of Electrical Machines
The winding of coils on stator teeth is a central process in the manufacture of electrical machines. The quality of the windings and the associated copper fill ...
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Conferences
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14th European LS-DYNA Conference 2023
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Manufacturing/Process Simulation
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Die Attach Process using Adaptive ISPG in LS-DYNA
The die-attach process is a crucial step in electronic packaging, where semiconductor chips (dies) are securely bonded onto substrates (e.g., lead frames or ...
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Conferences
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14th European LS-DYNA Conference 2023
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Manufacturing/Process Simulation
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Process simulation in LSDYNA from the viewpoint of a materials supplier: towards an integrated approach for performance and process
Electromobility and sustainability are the current megatrends that drive the market development of the automotive industry. In order to be conforming to these ...
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Conferences
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14th European LS-DYNA Conference 2023
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Manufacturing/Process Simulation
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An Interprocess Communication based Integration of AI User Materials into LS-DYNA
Machine Learning (ML) driven material models have been investigated for some time now. The respective ML models can be trained outside of the Finite Element ...
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Conferences
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14th European LS-DYNA Conference 2023
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Machine Learning/AI
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Using Data from Physical Experiments to Train Machine Learning Material Models
Structural analysis of mechanical components, such as predicting the deformation behavior of sheet metal or assessing the crash safety of a vehicle, typically ...
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Conferences
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14th European LS-DYNA Conference 2023
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Machine Learning/AI
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Accelerating elastoplastic material models with spare nonlinear regression: A hybrid approach
Evaluating material models in Finite Element (FE) simulations is computationally expensive. Recently, Machine Learning (ML) techniques have been explored for ...
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Conferences
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14th European LS-DYNA Conference 2023
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Machine Learning/AI
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Systematic assessment of isogeometric sheet metal forming simulations based on trimmed, multi-patch NURBS models in LS-DYNA
Isogeometric sheet metal forming simulation is a promising numerical technique utilized for predicting the behavior of sheet metal parts during the forming ...
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Conferences
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14th European LS-DYNA Conference 2023
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IGA
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EXPERIENCE WITH CRASH SIMULATIONS USING AN IGA BODY IN WHITE
With the IGA (Isogeometric Analysis) technological approach [1], the transfer processes from CAD to CAE can be simplified in the future and false predictions ...
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Conferences
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14th European LS-DYNA Conference 2023
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IGA