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Mesoscale simulation of the mold filling process of Sheet Molding Compound
Language: en
Pages: 292
Authors: Meyer, Nils
Categories: Technology & Engineering
Type: BOOK - Published: 2022-07-12 - Publisher: KIT Scientific Publishing

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Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fi
Process simulation of wet compression moulding for continuous fibre-reinforced polymers
Language: en
Pages: 332
Authors: Poppe, Christian Timo
Categories: Technology & Engineering
Type: BOOK - Published: 2022-07-18 - Publisher: KIT Scientific Publishing

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Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This a
Fiber-dependent injection molding simulation of discontinuous reinforced polymers
Language: en
Pages: 180
Authors: Wittemann, Florian
Categories: Technology & Engineering
Type: BOOK - Published: 2022-11-18 - Publisher: KIT Scientific Publishing

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This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydro
Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
Language: en
Pages: 326
Authors: Gajek, Sebastian
Categories:
Type: BOOK - Published: 2023-08-25 - Publisher: KIT Scientific Publishing

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We investigate deep material networks (DMN). We lay the mathematical foundation of DMNs and present a novel DMN formulation, which is characterized by a reduced
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Language: en
Pages: 190
Authors: Thorgeirsson, Adam Thor
Categories:
Type: BOOK - Published: 2024-09-03 - Publisher: KIT Scientific Publishing

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In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage o