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Characterisation and Modelling of Continuous-Discontinuous Sheet Moulding Compound Composites for Structural Applications
  • Language: en
  • Pages: 468

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

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.

Multiscale Modeling of Curing and Crack Propagation in Fiber-Reinforced Thermosets
  • Language: en
  • Pages: 230

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

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.

Phase-field Modeling of Phase Changes and Mechanical Stresses in Electrode Particles of Secondary Batteries
  • Language: en
  • Pages: 224

Phase-field Modeling of Phase Changes and Mechanical Stresses in Electrode Particles of Secondary Batteries

Most storage materials exhibit phase changes, which cause stresses and, thus, lead to damage of the electrode particles. In this work, a phase-field model for the cathode material NaxFePO4 of Na-ion batteries is studied to understand phase changes and stress evolution. Furthermore, we study the particle size and SOC dependent miscibility gap of the nanoscale insertion materials. Finally, we introduce the nonlocal species concentration theory, and show how the nonlocality influences the results.

Consequences of hydroxyl generation by the silica/water reaction - Part II: Global and local Swelling - Part III: Damage and Young's Modulus
  • Language: en
  • Pages: 226

Consequences of hydroxyl generation by the silica/water reaction - Part II: Global and local Swelling - Part III: Damage and Young's Modulus

Water diffusing into silica surfaces gives rise for several effects on diffusion behaviour and mechanical properties. In a preceding booklet, we focused on diffusion and fiber strengths and deformations which were obtained by water soaking under external loading. In the present booklet we deal with results and interpretations of strength increase in the absence of applied stresses.

Metallmatrixverbunde mit Verstaerkungselementen aus metallischem Glas Ni₆₀Nb₂₀Ta₂₀ – Herstellung und Charakterisierung
  • Language: de
  • Pages: 442

Metallmatrixverbunde mit Verstaerkungselementen aus metallischem Glas Ni₆₀Nb₂₀Ta₂₀ – Herstellung und Charakterisierung

AlSi12-based metal matrix composites using metallic glass Ni??Nb??Ta?? as reinforcement were produced via gas pressure melt infiltration technique. Comprehensive investigations were performed to determine the composite ́s microstructural, mechanical and thermal properties as well as damage mechanisms. The results contribute to a better understanding on the material ́s processing-structure-property relations.

Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
  • Language: en
  • Pages: 278

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

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.

Influence of strain on the functionality of ink-jet printed thin films and devices on flexible substrates
  • Language: en
  • Pages: 156

Influence of strain on the functionality of ink-jet printed thin films and devices on flexible substrates

Ink-jet printed devices on the flexible substrate are inexpensive and large area compatible as compared to rigid substrates. However, during fabrication and service they are subjected to complex strains, resulting in crack formation or delamination within the layers, affecting the device performance. Therefore, it is necessary to understand their failure mechanisms by correlating their electrical or structural properties with applied strain, supported by detailed microstructural investigations.

Dynamic Model-based Analysis of Oxygen Reduction Reaction in Gas Diffusion Electrodes
  • Language: en
  • Pages: 178

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

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.

Structure evolution in tribological interfaces studied by multilayer model alloys
  • Language: en
  • Pages: 194

Structure evolution in tribological interfaces studied by multilayer model alloys

Recent studies of deformation mechanisms of metals and alloys pioneer the better investigation of the friction and wear behavior of materials with well-defined initial microstructures. Within this scope, in this work, the effect of sub-surface deformations on the resulting friction and wear behavior has been searched by means of a systematic experimental study on Au-Ni metallic multilayer model alloy system.