Optimizing LSM-LSF composite cathodes for enhanced solid oxide fuel cell performance: Material engineering and electrochemical insights

Ramin Babazadeh Dizaj,; Nastaran Sabahi,

doi:10.30574/wjarr.2023.20.1.2183

Cited by 15 publications

(6 citation statements)

References 39 publications

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“…In the second equation υT is the turbulent or eddy viscosity, and K is the average kinetic energy of the velocity fluctuations. In a closed system of PDEs, due to the flow condition and considering incompressible flows, K does not need to be calculated explicitly [1][2][3].…”

Section: Ransmentioning

confidence: 99%

A review of numerical simulations on stepped spillways using the k-ε turbulence model

Nastaran Sabahi

2024

Int. J. Sci. Res. Arch.

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For centuries, stepped spillways and cascades have been employed to effectively dissipate the kinetic energy of flowing water and promote aeration. The origins of stepped chute construction can be traced back to ancient Greece and Crete. In antiquity, this design served three main purposes: as stepped spillways, for stormwater and irrigation channels, and in municipal water supply systems. Initially crafted from cut-stone masonry or timber, the 19th century witnessed the introduction of various construction materials, such as composite materials and non-reinforced concrete. Over the last forty years, renewed interest in the staircase chute design has emerged, thanks to advancements in construction materials and techniques. The stepped invert in these designs significantly enhances energy dissipation above the steep chute, reducing the need for large downstream stilling structures. Stepped chutes are now applied not only in traditional uses but also in in-stream re-aeration and water treatment plant cascades, improving the transfer of atmospheric gases and volatile organic components between air and water. However, the engineering of stepped spillways is complex due to hydrodynamic challenges, involving different flow regimes, intricate two-phase air-water fluid dynamics, and a substantial rate of energy dissipation above the stepped chute. This study aims to compile recent research on stepped spillways, employing numerical approaches to address these engineering challenges. FLUENT and Flow-3D have been the most useful software in simulating stepped spillways among the researchers and compared with the experimental results they have proved to be quite beneficial. Here we provide a review of numerical simulations on stepped spillways using FLUENT and k-ε turbulence model, the most utilized methods in this software. The study illustrates that the RNG k-ε turbulence model has been the most popular model among researchers to simulate the flow over stepped spillways and is suggested as one of the models that shows a great correlation with the experimental results

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Section: Ransmentioning

confidence: 99%

A review of numerical simulations on stepped spillways using the k-ε turbulence model

Nastaran Sabahi

2024

Int. J. Sci. Res. Arch.

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“…The mechanisms of each continuous crystallizer, their advantages, and disadvantages have been discussed before [11–13] and fall short of the scope of this review. Continuous crystallization is not only crucial for pharmaceutical industry, it is also important for the synthesis of various nanoparticles and nanostructures due to their widespread applications [14–27].…”

Section: Introductionmentioning

confidence: 99%

Recent Progress in Antisolvent Crystallization of Pharmaceuticals with a Focus on the Membrane‐Based Technologies

Haghighizadeh,

Mahdavi,

Rajabi

2024

Chem Eng & Technol

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Continuous crystallization of pharmaceuticals has been in the center of attention during the past two decades, with a more focus on the large‐scale production of active pharmaceutical ingredients. The increasing demand for pharmaceuticals requires high‐throughput production of drug crystals with different solubilities, stabilities, shapes, habits, polymorphs, and size distributions. With numerous advantages including low cost, ease of scale‐up, and superior control over polymorph and size distribution of drug crystals, antisolvent crystallization is one of the most promising crystallization methods recently attempted. However, it fails to deliver the required characteristic where the crystal systems tend to grow and for the preparation of metastable polymorphs. This review focuses on the most recent efforts to tackle these drawbacks by coupling antisolvent crystallization with cooling, supercritical‐assisted, microfluidics‐assisted, and membrane‐assisted crystallization. This systematic review aims to provide a concise summary of each coupled antisolvent technique and their positive and negative aspects. This review can be used as a guideline for pharmacist, biologists, and chemists, who are interested in the crystal engineering of pharmaceuticals to pave the way for further developments in this field.

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“…In fact, instead of testing the engine and obtaining experimental data in the laboratory, which is very time-consuming and expensive, the obtained model can be used as a virtual engine and a platform for collecting the required experimental data. You can also apply the designed controller or the desired improvements and tunings to the model and see the result [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Estimation of the mean effective pressure of a spark ignition internal combustion engine using a neural network, considering the wall-wetting dynamics

Mahnaz Zameni,

Mahdi Ahmadi,

Arash Talebi

2024

Global J. Eng. Technol. Adv.

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The management and development of internal combustion engines stand as critical pursuits within the automotive and related industries. Utilizing cylinder pressure as feedback, engine controllers rely on intricate systems to regulate performance. However, due to the inherent complexity and nonlinearity of engines, direct measurement of cylinder pressure through pressure sensors is costly and computationally demanding. Consequently, the need for accurate and detailed engine models becomes paramount. Neural networks offer a promising avenue for simulating internal combustion engines, combining speed and precision. By treating the engine as an enigmatic entity, neural networks can construct detailed models. This study aims to employ two types of neural networks—multilayer perceptron and radial basis functions—to train and build a model of an internal combustion engine. These networks will simulate and estimate the engine's mean suitable pressure, allowing for a comparison of their effectiveness. Prior to implementing the neural network architecture, an engine model was constructed in MATLAB to gather necessary training data. This preliminary step ensured a robust foundation for subsequent network design and implementation. In summary, this research focuses on leveraging neural networks to model internal combustion engines, utilizing both multilayer perceptron and radial basis functions to simulate engine behavior and estimate mean suitable pressure.

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Optimizing LSM-LSF composite cathodes for enhanced solid oxide fuel cell performance: Material engineering and electrochemical insights

Cited by 15 publications

References 39 publications

A review of numerical simulations on stepped spillways using the k-ε turbulence model

A review of numerical simulations on stepped spillways using the k-ε turbulence model

Recent Progress in Antisolvent Crystallization of Pharmaceuticals with a Focus on the Membrane‐Based Technologies

Estimation of the mean effective pressure of a spark ignition internal combustion engine using a neural network, considering the wall-wetting dynamics

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