Research Paper
Fuel Cells
Mahdi Keyhanpour; Majid Ghassemi
Abstract
Researchers encounter difficulties in producing clean energy and addressing environmental issues. Solid oxide fuel cells (SOFCs) present a promising prospect to the growing demand for clean and efficient electricity due to their capacity to convert chemically stored energy into electrical energy directly. ...
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Researchers encounter difficulties in producing clean energy and addressing environmental issues. Solid oxide fuel cells (SOFCs) present a promising prospect to the growing demand for clean and efficient electricity due to their capacity to convert chemically stored energy into electrical energy directly. In enhancing this technology, ammonia is employed as a cost-effective and carbon-free fuel with convenient transport capabilities. Efficiently predicting the performance of a system in relation to its operating environment has the potential to expedite the identification of the optimal operating conditions across a broad spectrum of parameters. For this purpose, the performance of intermediate temperature solid oxide fuel cell (IT-SOFC) with inlet ammonia fuel is predicted utilizing machine learning, which is efficient in time and cost. Initially, the system is simulated with computational fluid dynamics finite element code to generate data for training machine learning algorithms (DNN, RFM and LASSO regression), followed by an evaluation of the predictive accuracy of these algorithms. The analysis demonstrates that the three examined algorithms exhibit sufficient accuracy in predicting the performance of the introduced solid oxide fuel cell (SOFC) system, all surpassing a 95 percent threshold. The RFM and DNN exhibit the most accurate predictions for the maximum temperature and power density of fuel cells, respectively.
Review paper
Micro and Nano Systems
Azadeh Shahidian; Sanam Tahouneh
Abstract
In recent years, microfluidic devices have had various applications, such as the biological field. Hence, it is essential to study fluid flow governing equations in order to realization and ability to better control fluids in different flow regimes according to microfluidic devices. Also, study of inducing ...
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In recent years, microfluidic devices have had various applications, such as the biological field. Hence, it is essential to study fluid flow governing equations in order to realization and ability to better control fluids in different flow regimes according to microfluidic devices. Also, study of inducing source, fabrication technique, and numerical procedure of fluid flow simulation are necessary for flow solution and are used to select proper devices.Here, the mentioned cases have been studied. As well, numerical methods of fluid flow study for various type of fluid, their comparison and pros and cons of each of them have been briefly expressed that may be used for the development of them. Then, the extensive biological application of micromixers and micropumps have been investigated. It is expected that this paper will be of attention to scholars or practitioners in the micromixer and micropump biomedical technology field and those who enter this context for the first time and may also highlight what will assist in future development.
Research Paper
Composite Materials
Hossein Lexian; Javad Gholampour Darzi; Mohammad Hossein Alaei; Seyed Ali Khalife Soltani
Abstract
This research investigates the effect of feed rate, cutting speed, and orientation of fabric layers on milling forces in high-speed milling of bidirectional C/C composite using the Al2O3 grinding tool in order to decrease the machining time and increase the tool life based on the response surface method ...
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This research investigates the effect of feed rate, cutting speed, and orientation of fabric layers on milling forces in high-speed milling of bidirectional C/C composite using the Al2O3 grinding tool in order to decrease the machining time and increase the tool life based on the response surface method (RSM). For this reason, the above-mentioned parameters were assumed as the input parameters which their effects were investigated on the machining forces (using a milling dynamometer) and tool wear using the central composite design of RSM. Two quadratic models were developed to predict normal and tangential forces in high-speed milling of bidirectional C/C composite. The developed models were then evaluated using three experiments. The results also showed that the orientation of the composite layers has the greatest effect on the milling forces and tool wear after which the tool cutting speed and feed rate respectively. The lowest milling forces were observed at the orientation of (0°,90°), a feed rate of 0.5 m/min, and the cutting speed of 4521.6 m/min.
