Fuel Cell Technology
A. Mansouri; S. A. Alenabi; R. Gavagsaz-ghoachani
Abstract
The charge transfer coefficient is a dimensionless coefficient used in the kinetics of chemical reactions. In this paper, the effect of the charge transfer coefficient on hydrogen fuel cell characteristics such as polarization curve and power diagram in terms of current density and losses is investigated. ...
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The charge transfer coefficient is a dimensionless coefficient used in the kinetics of chemical reactions. In this paper, the effect of the charge transfer coefficient on hydrogen fuel cell characteristics such as polarization curve and power diagram in terms of current density and losses is investigated. The charge transfer coefficient affects the activation losses of the fuel cell and therefore affects the performance of the fuel cell. For this investigation, a basic sample is selected and the changes of charge transfer coefficient are studied on its characteristics. The obtained results show that with an increase in this factor, the activation loss decreases. In addition, increasing the charge transfer coefficient increases the maximum power point. The increase in the power of this point is more visible in lower values of the charge transfer coefficient and when this coefficient exceeds the value of 0.5, this effect becomes very small. Also, the appropriate value of this coefficient is determined to maintain the balance of the chemical reaction. The activity of the fuel cell is disrupted due to an excess amount of the coefficient.
Fuel Cell Technology
V. Modanloo; A. Mashayekhi; B. Akhoundi
Abstract
Bipolar plates (BPPs) play an important role in PEM fuel cells in terms of weight and cost points of view. In this paper, the manufacturing of titanium BPPs with parallel flow field was experimentally and numerically studied. In this regard, a stamping die with a parallel pattern is conducted to perform ...
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Bipolar plates (BPPs) play an important role in PEM fuel cells in terms of weight and cost points of view. In this paper, the manufacturing of titanium BPPs with parallel flow field was experimentally and numerically studied. In this regard, a stamping die with a parallel pattern is conducted to perform the experiments. Then, the process was modeled via the finite element (FE) simulation. By comparing simulation and experiment results, it was found that the results are in good agreement and hereupon, the accuracy of the FE model was verified. To evaluate the sheet formability, a set of FE experiments was designed through the response surface methodology (RSM). The die clearance, forming velocity, and friction coefficient were considered input parameters, and the maximum thickness reduction (MTR) of the sheet was assumed to be the output. The results revealed that a lower friction coefficient causes an increase in thickness reduction and finally tearing in the formed BPPs. Moreover, changing the forming velocity has no remarkable influence on the MTR. Afterward, an Adaptive Neuro-Fuzzy Inference System (ANFIS) was trained for predicting the output of the MTR with the three mentioned inputs.
