Process Simulation Of Wet Compression Moulding For Continuous Fibre Reinforced Polymers
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Process Simulation Of Wet Compression Moulding For Continuous Fibre Reinforced Polymers
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Author : Poppe, Christian Timo
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-18
Process Simulation Of Wet Compression Moulding For Continuous Fibre Reinforced Polymers written by Poppe, Christian Timo and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Technology & Engineering categories.
Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This applies particularly to continuous fibre-reinforced plastics (CoFRPs), which offer high weight-specific material properties and enable load path-optimised designs. This thesis is dedicated to understanding and modelling Wet Compression Moulding (WCM) to facilitate large-volume production of CoFRP structural components.
Fiber Dependent Injection Molding Simulation Of Discontinuous Reinforced Polymers
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Author : Wittemann, Florian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-11-18
Fiber Dependent Injection Molding Simulation Of Discontinuous Reinforced Polymers written by Wittemann, Florian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Technology & Engineering categories.
This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydrodynamic forces from fluid on fibers, contact forces between fibers, a novel fiber breakage modeling approach and anisotropic warpage analysis. Due to the coupling of fiber breakage and anisotropic flow modeling, the fiber breakage directly influences the modeled cavity pressure, which is validated with experimental data.
Constrained Layer Damping In Hybrid Fibre Metal Elastomer Laminates And Its Tolerance To Damage
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Author : Jackstadt, Alexander
language : en
Publisher: KIT Scientific Publishing
Release Date : 2025-04-07
Constrained Layer Damping In Hybrid Fibre Metal Elastomer Laminates And Its Tolerance To Damage written by Jackstadt, Alexander and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with categories.
This work presents experimental, analytical and numerical methods for predicting structural behaviour as well as damping capabilities of hybrid fibre metal elastomer laminates (FMELs), particularly for the assessment and optimisation of constrained-layer damping (CLD) with regard to its tolerance to damage.
Material Forming
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Author : Anna Carla Araujo
language : en
Publisher: Materials Research Forum LLC
Release Date : 2024-05-20
Material Forming written by Anna Carla Araujo and has been published by Materials Research Forum LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-20 with Technology & Engineering categories.
These ESAFORM 2024 conference proceedings cover a wide range of topics: Additive manufacturing; Composites forming processes; Extrusion and drawing; Forging and rolling; Formability of metallic materials; Friction and wear in metal forming; Incremental and sheet metal forming; Innovative joining by forming technologies; Optimization and inverse analysis in forming; Machining, Cutting and severe plastic deformation processes; Material behavior modelling; New and advanced numerical strategies for material forming; Non-conventional processes; Polymer processing and thermomechanical properties; Sustainability on material forming. Keywords: WAAM Technology, Fused deposition Modeling (FDM), Fiber Composite Printers, Ultrasonic Powder Atomization, Finite Element Modeling (FEM), Laser Powder Bed Fusion (L-PBF), Rapid Prototyping in Additive Manufacturing, Directed Energy Deposition (DED), GTAW Droplet Deposition, Deep Learning, Thermoplastic Pultrusion, Textile Reinforcements, Thermoforming Simulation, New Sustainable Materials, Non-Crimp Fabrics, CFRP Scraps, PEEK Composites, Thermoplastic Sheets, Flax/PP Composites.
Measurable Safety Of Automated Driving Functions In Commercial Motor Vehicles Technological And Methodical Approaches
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Author : Elgharbawy, Mohamed
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-01-13
Measurable Safety Of Automated Driving Functions In Commercial Motor Vehicles Technological And Methodical Approaches written by Elgharbawy, Mohamed and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-13 with Technology & Engineering categories.
With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.
Probabilistic Prediction Of Energy Demand And Driving Range For Electric Vehicles With Federated Learning
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Author : Thorgeirsson, Adam Thor
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-09-03
Probabilistic Prediction Of Energy Demand And Driving Range For Electric Vehicles With Federated Learning written by Thorgeirsson, Adam Thor and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with categories.
In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.
Experimental Investigation Of Relevant Road Surface Descriptors For Tire Road Noise Measurements On Low Absorbing Road Surfaces
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Author : Pinay, Julien
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-01-16
Experimental Investigation Of Relevant Road Surface Descriptors For Tire Road Noise Measurements On Low Absorbing Road Surfaces written by Pinay, Julien and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-16 with categories.
Ihrer Arbeit in der Originalsprache: This work aims at identifying relevant road surface characteristics to mitigate tire-road noise of free-rolling tires using a systematic approach. As using open porous roads is already known as an efficient measure to reduce tire rolling noise, this study will focus on compact road surfaces which have a low acoustic absorption. Measurements on standardized ISO 10844 test tracks and on public roads are used to study the norm's representativity and its completeness.
Trajectory Optimization Based On Recursive B Spline Approximation For Automated Longitudinal Control Of A Battery Electric Vehicle
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Author : Jauch, Jens
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-03-01
Trajectory Optimization Based On Recursive B Spline Approximation For Automated Longitudinal Control Of A Battery Electric Vehicle written by Jauch, Jens and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with categories.
This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.
Material Forming
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Author : Lukasz Madej
language : en
Publisher: Materials Research Forum LLC
Release Date : 2023-04-25
Material Forming written by Lukasz Madej and has been published by Materials Research Forum LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-25 with Technology & Engineering categories.
These proceedings present papers on Additive Manufacturing, Composites Forming Processes, Extrusion and Drawing, Forging and Rolling, Formability of Metallic Materials, Friction and Wear in Metal Forming, Incremental and Sheet Metal Forming, Innovative Joining by Forming Technologies, Lionel Fourment MS on Optimization and Inverse Analysis in Forming, Machining and Cutting, Material Behavior Modelling, New and Advanced Numerical Strategies for Material Forming, Non-Conventional Processes, Polymer Processing and Thermomechanical Properties, Sustainability on Material Forming, and Property-Controlled Forming.
Deep Reinforcement Learning Zur Steigerung Von Energieeffizienz Und P Nktlichkeit Von Stra Enbahnen
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Author : Tesar, Markus
language : de
Publisher: KIT Scientific Publishing
Release Date : 2023-04-17
Deep Reinforcement Learning Zur Steigerung Von Energieeffizienz Und P Nktlichkeit Von Stra Enbahnen written by Tesar, Markus and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-17 with Technology & Engineering categories.
Diese Arbeit untersucht, wie die Energieeffizienz und Pünktlichkeit von Straßenbahnen durch den Einsatz von KI gesteigert werden können. Auf zwei Szenarien wird die KI zu je drei Verkehrszeiten trainiert. Die ermittelten Fahrprofile werden mit denen von Fahrern aus dem regulären Fahrgastbetrieb sowie mit einem durch Dynamic Programming ermittelten theoretischen Optimum verglichen. Darüber hinaus werden Transferlernfähigkeiten der KI untersucht. - This work investigates how the energy efficiency and punctuality of streetcars can be increased by using AI. The AI is trained on two scenarios at three traffic times each. The determined driving profiles are compared with those of drivers from regular passenger operation as well as with a theoretical optimum determined by Dynamic Programming. In addition, transfer learning capabilities of the AI will be investigated.