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

Published: 2024-01-09

Total Pages: 178

ISBN-13: 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.


Experimental and model-based investigation of overpotentials during oxygen reduction reaction in silver-based gas-diffusion electrodes

Experimental and model-based investigation of overpotentials during oxygen reduction reaction in silver-based gas-diffusion electrodes

Author: David Franzen

Publisher: Cuvillier Verlag

Published: 2021-10-26

Total Pages: 136

ISBN-13: 3736965141

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Chlorine is one of the most important basic chemicals, which is used directly or indirectly in the production of around 60 % of all chemical products. The production is almost exclusively based on energy intensive electrolysis processes, with an average of 2.5 – 3.5 MWh of electrical energy required per ton of chlorine generated. This means that chlorine production alone accounts for around 3 % of the electrical energy used worldwide in industry. By using oxygen depolarized cathodes (ODC), it is possible to reduce the demand for electrical energy on an industrial scale by about 25 %. Instead of hydrogen evolution, oxygen reduction takes place. Due to the low solubility of oxygen, the electrode is designed as a gas-diffusion electrodes (GDE). These are porous silver-based electrodes with hydrophobic regions due to the use of polytetrafluoroethylene (PTFE). During operation, the liquid electrolyte penetrates the pore structure, but the PTFE prevents complete flooding of the electrode. Oxygen is supplied via a gas compartment and enters the internal structure of the electrode. A three-phase interface is formed, consisting of liquid electrolyte, gas and catalytically active solid, at which the electrochemical reaction takes place. Although the technology is already successfully used industrially, many processes, especially the electrolyte distribution, inside the GDE remain unknown. In this dissertation, the influence of PTFE is first systematically investigated. Subsequently the process is described in a pseudo-2D model supported by operando experiments. Finally, the exact penetration depth of the electrolyte is analyzed using specially designed electrodes.


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.


5th European Symposium on Electrochemical Engineering

5th European Symposium on Electrochemical Engineering

Author: A. A. Wragg

Publisher: IChemE

Published: 1999

Total Pages: 358

ISBN-13: 9780852954171

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Materials Aspects of Electrochemical Engineering is the main theme of this symposium. It charts the way ahead for the future development and economic viability of all types of electrochemical processing.


Encyclopedia of Electrochemical Power Sources

Encyclopedia of Electrochemical Power Sources

Author: Jürgen Garche

Publisher: Newnes

Published: 2013-05-20

Total Pages: 4532

ISBN-13: 0444527451

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The Encyclopedia of Electrochemical Power Sources is a truly interdisciplinary reference for those working with batteries, fuel cells, electrolyzers, supercapacitors, and photo-electrochemical cells. With a focus on the environmental and economic impact of electrochemical power sources, this five-volume work consolidates coverage of the field and serves as an entry point to the literature for professionals and students alike. Covers the main types of power sources, including their operating principles, systems, materials, and applications Serves as a primary source of information for electrochemists, materials scientists, energy technologists, and engineers Incorporates nearly 350 articles, with timely coverage of such topics as environmental and sustainability considerations


Electrochemical Oxygen Reduction

Electrochemical Oxygen Reduction

Author: Pei Kang Shen

Publisher: Springer Nature

Published: 2021-01-16

Total Pages: 259

ISBN-13: 9813360771

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This book discusses systematically the theoretical research and the applications of electrochemical oxygen reduction. Oxygen reduction reaction is a common issue in electrochemistry, but is also an important process involved in the field of energy, cryogenic fuel cells, metal–air cells, oxygen sensors and hydrogen peroxide preparation. This book is divided into 6 chapters; it starts with a description of dynamic mechanisms, followed by a detailed introduction on the related experimental methods and related catalyst preparation technology. By providing the basic methods and testing techniques, and by demonstrating their applications, it helps readers gain a better understanding of oxygen reduction reactions, making it a valuable resource for the industrialization of scientific research achievements. Accordingly, the book appeals to a broad readership, particularly graduate students, those working at universities and research organizations, and industrial researchers.