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A Synthesis and Analysis of Anhydrous Hydroxide Ion Conducting Polymer Electrolytes

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To my grandparents Richard and Sandra Heydinger who have supported me endlessly at every step of my life. First, I would like to thank my parents Edith and Matthew Heydinger, and my sister Madison Heydinger for supporting me throughout my academic career. Without the financial and emotional support, I would not have been able to complete this project.

Throughout my time at the University of Mississippi, several people have relentlessly supported me in every endeavor and challenged me to become a better student and person. Furthermore, I would like to thank the Sally McDonnell Barksdale Honors College for the incredible opportunities they provided me during my time at the University. This project investigates the synthesis and physical properties of polyethylene glycol monomethyl ether (MePEGn where n=3 or 7) based polymer electrolytes.

The two polymer electrolytes explored in the experiments were created from two different MePEG chains that differed in their overall length and degree of polymerization. Both MePEGn polymers were modified by substituting an imidazolium group in place of the alcohol functional group at the end of the PEG chain. These polymer electrolytes were synthesized to study various physical properties, such as ionic conductivity and viscosity, under anhydrous conditions to characterize the stability of MePEG derivatives as polymer electrolyte membranes of alkaline anion exchange membrane cells (AAEMFCs).

PEG 350 poly (ethylene glycol), molecular weight 350 PEG 750 poly (ethylene glycol), molecular weight 750 Mepegnoch polyethylene glycol monomethyl ether.

INTRODUCTION

One method to improve high temperature efficiency is to improve the conductivity of the electrolyte at low water concentrations. The main drawback of this type of electrolyte is the cost of the fuel cell due to the need to include a noble metal catalyst, usually platinum. The main advantage of using an Anion Exchange Membrane is to improve the efficiency of the oxygen reduction reaction (ORR) in an alkaline environment.

Conductivity is the reciprocal of resistivity (ohm•cm), which is a temperature-dependent property that also depends on the mechanism of ion conduction through the material. This comparison, as a function of applied frequency, can be graphically represented with a Nyquist plot (Figure 3). While Zre shown on the x-axis represents the resistance component that is in phase with the applied voltage and responds to the resistance.

By taking the reciprocal of the diameter (conductivity is measured in Siemens = ohm–1) and dividing by an experimentally determined geometric factor for the electrode, the ionic conductivity can be calculated. By taking the logarithm of conductivity and plotting it against the reciprocal of temperature, an Arrhenius activation graph can be constructed. Another commonly used unit of ionic mobility is the molar equivalent conductivity (), which can be calculated by dividing the measured conductivity (S/cm) by the ionic concentration (mol/cm3) of the polymer electrolyte.

To determine the viscosity and fluidity of the material, a Rheometer instrument was used (Brookfield DV-III rheometer with cone and plate geometry). The addition of the imidazole group on the polymer backbone created a positively charged, and covalently attached, imidazole group, which required a negatively charged counterion. In the next step of the synthesis, the methanesulfonation ion was ion-exchanged for the hydroxide anion (OH–).

Returning the column to a more neutral pH ensured that all of the MePEGnIm+ OH- product had completely eluted through the column. In the Nyquist plot, high-frequency semicircles were generated from the AC impedance data, and the diameter of the semicircle was taken as the large resistance e. By taking the inverse of the resistance and dividing by the geometric factor for the electrode, the conductance was calculated.

Taking the logarithm of the conductivity values, the results were plotted against the reciprocal of temperature to obtain an Arrhenius activation plot for ionic conductivity. From the Arrhenius plot, the activation energy for the ionic conductivity process could be determined by finding the slope of the line. They consist of a flat plate and a rotating cone that measures the torque on the cone as a function of rotational speed.

By taking the reciprocal of viscosity, fluidity is obtained, which can be graphed against temperature to form a Fluidity Activation Plot.

RESULTS AND DISCUSSION

This is a similar activation energy barrier to other H + conducting polymer electrolytes prepared in our laboratory, and is believed to be related to the activation barrier to rearrangement of the PEG segmental units. The activation energy calculated from the PEG7 polymer data was 44.61 kJ/mol, which showed slightly higher mobility than the PEG3. The results of these measurements are shown in Figures 20 and 21 in a graph of viscosity versus temperature.

The Stokes-Einstein equation (Figure 22) and the Nernst-Einstein equation (Figure 23) predicted that higher fluidity results in higher ion diffusion coefficient and higher ion conductivity due to increased ion mobility. Figures 24 and 25 show Walden plots (log molar equivalent conductance versus log fluidity) for both polymer electrolytes with a linear best fit applied. Using the Angell approximation of Walden plot data10, we understand that Walden plots are good descriptors of ion mobility in electrolytes with ion-ion interactions.

The Walden plot is useful for determining the correspondence between ion mobility and fluidity. The slope of a Walden Plot () is a value between 0 and 1 where 1 represents ideal behavior (viscous flow and attraction are the only forces impeding ion motion). If the slope value falls below 1, this indicates that factors other than viscosity inhibit ion mobility (ie, ionic conductivity decreases faster than fluidity decreases).

If the value is above 1, it indicates that the solution may exhibit superionic characteristics, and that a unique conductivity mechanism may exist that supports ionic mobility. We constructed Walden plots with an “ideal” Walden line (=1), shown in Figures 26 and 27, to compare with the data from both polymer electrolytes. Each point on a Walden plot corresponds to an independent measurement of both the ionic conductivity and viscosity of a polymer sample.

If the data on the Walden plot lie on the ideal line, the material can be classified as a strong electrolyte. However, we have typically found that our H+ conducting electrolytes fall below the ideal line, and we have understood that this indicates that our acids are weak acids in the polymer medium. The Walden data obtained from our conductivity and viscosity measurements in our MePEG3–Im+ OH– and MePEG7–Im+ OH– polymer electrolytes are located in the lower left region of the Walden plot, indicating either a weak electrolyte or the presence of ion- pairing in the electrolyte.

This means that there are factors that negatively affect ionic conductivity other than viscosity and viscous drag on mobile ions. Although the specific factors were not determined experimentally, the reduced conductivity may be due to ion pairing or specific ion binding within the matrix.

CONCLUSION

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