Mesoscale simulation of the mold filling process of Sheet Molding Compound

Download or Read eBook Mesoscale simulation of the mold filling process of Sheet Molding Compound PDF written by Meyer, Nils and published by KIT Scientific Publishing. This book was released on 2022-07-12 with total page 292 pages. Available in PDF, EPUB and Kindle.
Mesoscale simulation of the mold filling process of Sheet Molding Compound
Author :
Publisher : KIT Scientific Publishing
Total Pages : 292
Release :
ISBN-10 : 9783731511731
ISBN-13 : 3731511738
Rating : 4/5 (31 Downloads)

Book Synopsis Mesoscale simulation of the mold filling process of Sheet Molding Compound by : Meyer, Nils

Book excerpt: Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fibers at low cost. A novel Direct Bundle Simulation (DBS) method is proposed in this work to enable a direct simulation at component scale utilizing the observation that fiber bundles often remain in a bundled configuration during SMC compression molding.


Mesoscale simulation of the mold filling process of Sheet Molding Compound Related Books

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

DOWNLOAD EBOOK

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

DOWNLOAD EBOOK

Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This a
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

DOWNLOAD EBOOK

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
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

DOWNLOAD EBOOK

This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydro
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

DOWNLOAD EBOOK

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