Phase-field Modeling of Microstructural Pattern Formation in Alloys and Geological Veins
Phase-field Modeling of Microstructural Pattern Formation in Alloys and Geological Veins

Author: Kumar Ankit

Publisher:

Published: 2020-10-09

Total Pages: 228

ISBN-13: 9781013281020

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With the advent of high performance computing, the application areas of the phase-field method, traditionally used to numerically model the phase transformation in metals and alloys, have now spanned into geoscience. A systematic investigation of the two distinct scientific problems in consideration suggest a strong influence of interfacial energy on the natural and induced pattern formation in diffusion-controlled regime. 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.

Phase-field modeling of microstructural pattern formation in alloys and geological veins
Phase-field modeling of microstructural pattern formation in alloys and geological veins

Author: Ankit, Kumar

Publisher: KIT Scientific Publishing

Published: 2016-05-31

Total Pages: 240

ISBN-13: 373150491X

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With the advent of high performance computing, the application areas of the phase-field method, traditionally used to numerically model the phase transformation in metals and alloys, have now spanned into geoscience. A systematic investigation of the two distinct scientific problems in consideration suggest a strong influence of interfacial energy on the natural and induced pattern formation in diffusion-controlled regime.

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

Author: Zhang, Tao

Publisher: KIT Scientific Publishing

Published: 2021-09-27

Total Pages: 224

ISBN-13: 3731510022

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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.

Phase-field simulations of multi-component solidification and coarsening based on thermodynamic datasets
Phase-field simulations of multi-component solidification and coarsening based on thermodynamic datasets

Author: Schulz, Sebastian

Publisher: KIT Scientific Publishing

Published: 2017-02-22

Total Pages: 246

ISBN-13: 3731506181

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The utilization of thermodynamic and mobility data plays a major role in phase-field modeling. This work discusses different formulations for the thermodynamic quantities of a grand potential model along with practices to determine parameters from datasets. The framework is used to study solidification of Al-Si-Mg for a variation of composition, diffusivities and surface energy anisotropies. To verify the simulations, they are compared with solidification theories.

Structure evolution in tribological interfaces studied by multilayer model alloys
Structure evolution in tribological interfaces studied by multilayer model alloys

Author: Cihan, Ebru

Publisher: KIT Scientific Publishing

Published: 2020-10-21

Total Pages: 194

ISBN-13: 3731509997

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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.

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

Published: 2024-03-15

Total Pages: 230

ISBN-13: 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.

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

Published: 2024-07-24

Total Pages: 278

ISBN-13: 3731513528

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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.

Modeling transport properties and electrochemical performance of hierarchically structured lithium-ion battery cathodes using resistor networks and mathematical half-cell models
Modeling transport properties and electrochemical performance of hierarchically structured lithium-ion battery cathodes using resistor networks and mathematical half-cell models

Author: Birkholz, Oleg

Publisher: KIT Scientific Publishing

Published: 2022-10-05

Total Pages: 246

ISBN-13: 373151172X

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Hierarchically structured active materials in electrodes of lithium-ion cells are promising candidates for increasing gravimetric energy density and improving rate capability of the system. To investigate the influence of cathode structures on the performance of the whole cell, efficient tools for calculating effective transport properties of granular systems are developed and their influence on the electrochemical performance is investigated in specially adapted cell models.

Characterization and Modeling of the Ratcheting Behavior of the Ferritic-Martensitic Steel P91
Characterization and Modeling of the Ratcheting Behavior of the Ferritic-Martensitic Steel P91

Author: Zhang, Kuo

Publisher: KIT Scientific Publishing

Published: 2017-07-12

Total Pages: 224

ISBN-13: 3731505037

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In this work, the ratcheting-behavior of 9%Cr-1%Mo ferritic-martensitic steel is studied with uniaxial cyclic loading. To describe the ratcheting-behavior of this steel, a visco-plastic constitutive model with consideration of cyclic softening of Reduced Activation Ferritic Martensitic steels is further modified, based on the analysis of back stress.

A novel micro-mechanical model for prediction of multiaxial high cycle fatigue at small scales
A novel micro-mechanical model for prediction of multiaxial high cycle fatigue at small scales

Author: Eslami, Reza

Publisher: KIT Scientific Publishing

Published: 2017-05-03

Total Pages: 142

ISBN-13: 3731505835

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The grain microstructure and damage mechanisms at the grain level are the key factors that influence fatigue of metals at small scales. This is addressed in this work by establishing a new micro-mechanical model for prediction of multiaxial high cycle fatigue (HCF) at a length scale of 5-100?m. The HCF model considers elasto-plastic behavior of metals at the grain level and microstructural parameters, specifically the grain size and the grain orientation.