Characterisation and Modelling of Continuous-Discontinuous Sheet Moulding Compound Composites for Structural Applications

Characterisation and Modelling of Continuous-Discontinuous Sheet Moulding Compound Composites for Structural Applications
Author: Trauth, Anna
Publisher: KIT Scientific Publishing
Total Pages: 468
Release: 2020-12-11
Genre: Technology & Engineering
ISBN: 3731509504
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The main objective of this work is to significantly deepen the understanding of the material and the structural behaviour of continuous-discontinuous SMC composites, following a holistic approach to investigate microscopic aspects, macroscopic mechanical behaviour as well as failure evolution at the coupon, structure and component level. In addition, criteria to evaluate the effect of hybridisation are introduced and modelling approaches are presented and discussed.

Thermomechanical Modeling and Experimental Characterization of Sheet Molding Compound Composites

Thermomechanical Modeling and Experimental Characterization of Sheet Molding Compound Composites
Author: Lang, Juliane
Publisher: KIT Scientific Publishing
Total Pages: 250
Release: 2023-06-28
Genre:
ISBN: 3731512327
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The aim of this work is to model and experimentally characterize the anisotropic material behavior of SMC composites on the macroscale with consideration of the microstructure. Temperature-dependent thermoelastic behavior and failure behavior are modeled and the corresponding material properties are determined experimentally. Additionally, experimental biaxial damage investigations are performed. A parameter identification merges modeling and experiments and validates the models.

Multiscale Modeling of Curing and Crack Propagation in Fiber-Reinforced Thermosets

Multiscale Modeling of Curing and Crack Propagation in Fiber-Reinforced Thermosets
Author: Schöller, Lukas
Publisher: KIT Scientific Publishing
Total Pages: 230
Release: 2024-03-15
Genre:
ISBN: 3731513404
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During the production of fiber-reinforced thermosets, the resin material undergoes a reaction that can lead to damage. A two-stage polymerization reaction is modeled using molecular dynamics and evaluations of the system including a fiber surface are performed. In addition, a phase-field model for crack propagation in heterogeneous systems is derived. This model is able to predict crack growth where established models fail. Finally, the model is used to predict crack formation during curing.

Dynamic Model-based Analysis of Oxygen Reduction Reaction in Gas Diffusion Electrodes

Dynamic Model-based Analysis of Oxygen Reduction Reaction in Gas Diffusion Electrodes
Author: Röhe, Maximilian
Publisher: KIT Scientific Publishing
Total Pages: 178
Release: 2024-01-09
Genre:
ISBN: 3731512343
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In this work, the first simulation model of oxygen depolarized cathodes (ODC), which are silver catalyst-based gas diffusion electrodes, is presented that considers the phase equilibrium of the gas-liquid interface and structure-related inhomogeneities in electrolyte distribution. By means of the model it has been identified that mass transport of water and ions in the liquid phase is a crucial factor for electrode performance and how it is influenced by the electrode structure.

Deep material networks for efficient scale-bridging in thermomechanical simulations of solids

Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
Author: Gajek, Sebastian
Publisher: KIT Scientific Publishing
Total Pages: 326
Release: 2023-08-25
Genre:
ISBN: 3731512785
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Download Deep material networks for efficient scale-bridging in thermomechanical simulations of solids Book in PDF, Epub and Kindle

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 number of degrees of freedom. We present a efficient solution technique for nonlinear DMNs to accelerate complex two-scale simulations with minimal computational effort. A new interpolation technique is presented enabling the consideration of fluctuating microstructure characteristics in macroscopic simulations.

Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
Author: Lingelbach, Yannick
Publisher: KIT Scientific Publishing
Total Pages: 278
Release: 2024-07-24
Genre:
ISBN: 3731513528
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Download Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction Book in PDF, Epub and Kindle

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework. - This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.

Material Forming

Material Forming
Author: Anna Carla Araujo
Publisher: Materials Research Forum LLC
Total Pages: 2957
Release: 2024-05-20
Genre: Technology & Engineering
ISBN: 164490313X
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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.

Thermomechanical Mean-Field Modeling and Experimental Characterization of Long Fiber-Reinforced Sheet Molding Compound Composites

Thermomechanical Mean-Field Modeling and Experimental Characterization of Long Fiber-Reinforced Sheet Molding Compound Composites
Author: Kehrer, Maria Loredana
Publisher: KIT Scientific Publishing
Total Pages: 204
Release: 2019-06-13
Genre: Technology & Engineering
ISBN: 3731509245
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Download Thermomechanical Mean-Field Modeling and Experimental Characterization of Long Fiber-Reinforced Sheet Molding Compound Composites Book in PDF, Epub and Kindle

A discontinuous fiber-reinforced thermoset material produced by the Sheet Molding Compound process is investigated. Due to the process-related fiber orientation distribution, a composite with an anisotropic microstructure is created which crucially affects the mechanical properties. The central objectives are the modeling of the thermoelastic behavior of the composite accounting for the underlying microstructure, and the experimental characterization of the pure resin and the composite material.

Biaxial Characterization and Mean-field Based Damage Modeling of Sheet Molding Compound Composites

Biaxial Characterization and Mean-field Based Damage Modeling of Sheet Molding Compound Composites
Author: Malte Schemmann
Publisher:
Total Pages: 186
Release: 2020-10-09
Genre: Technology & Engineering
ISBN: 9781013278686
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The focus of this work lies on the microstructure-based modeling and characterization of a discontinuous fiber-reinforced thermoset in the form of sheet molding compound (SMC). A microstructure-based parameter identification scheme for SMC with an inhomogeneous fiber orientation distribution is introduced. Different cruciform specimen designs, including two concepts to reinforce the specimens' arms are evaluated. Additionally, a micromechanical mean-field damage model for the SMC is introduced. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.