Research Update : Fringe Intensity vs. Water content in Nafion - PowerPoint PPT Presentation

1 / 15
About This Presentation
Title:

Research Update : Fringe Intensity vs. Water content in Nafion

Description:

T profile is extracted from measured fringe intensity. Interferometry with RH Variation ... During the drying process, fringe pattern recorded. Expectation ... – PowerPoint PPT presentation

Number of Views:72
Avg rating:3.0/5.0
Slides: 16
Provided by: jungi
Category:

less

Transcript and Presenter's Notes

Title: Research Update : Fringe Intensity vs. Water content in Nafion


1
Research Update Fringe Intensity vs. Water
content in Nafion
  • Jungik Kim

2
Performance and Degradation of a Fuel Cell
  • Performance depends on Temperature, Water
    content, and pressure
  • Degradation can be regarded as unrecoverable
    performance loss
  • T, RH, and P should be monitored while operating
    a fuel cell to maximize the performance and
    understand the degradation mechanism

3
Approach
  • T and RH measurement by optical method
  • Refractive index of Nafion is dependent on its
    density which varies with T and RH changes
  • Changes in refractive index can be measured by
    interferometry
  • Localized and in-situ measurement of T and RH is
    possible

4
Experimental Procedure
  • Construct a data base on the refractive index of
    Nafion as a function of T and RH
  • Measure changes in refractive index during fuel
    cell operation
  • Measured refractive index changes can be used to
    estimate the changes in T and RH during fuel cell
    operation

5
Interferometry with T Variation
Sample
w
w
Glass ng
t
Dried Nafion115 np
  • Sample cooled from an elevated temperature by
    natural convection at room temperature
  • During the cooling process, fringe pattern
    recorded

6
Interferometry with T Variation
  • Exponential decrease of T
  • dn/dT -10-4 / C
  • T profile is extracted from measured fringe
    intensity

7
Interferometry with RH Variation
  • A wet membrane was dried by blowing dry oxygen
  • During the drying process, fringe pattern
    recorded

8
Expectation
RH and n
Intensity
Time
Time
  • Assume Refractive index is proportional to RH
  • The slope would correspond to the frequency of
    the intensity oscillation

9
Reality
  • Intensity seems to vary randomly during the
    measurement of 1 minute
  • Cant fine sinusoidal repetition
  • The interval between each measurement was limited
    to 5 sec, which is slower than the time scale of
    intensity variation

10
Effect of Low Sampling Frequency
Intensity
Intensity
Time
  • Though the original signal is sinusoidal, low
    sampling freq. makes the measurement look random

11
Statistical Analysis
  • RH of the sample will reach steady state
    eventually and then the intensity wont change
    any more
  • Standard deviation may be meaningful

12
Statistical Analysis
  • Standard deviation taken over time period of 60
    sec(12 data points) averaged over positions(1300
    pixel)
  • Averaged standard deviation decreases with time

13
Simulation on Statistical Analysis
Averaged standard deviation
Mean frequency of intensity oscillation (Hz)
  • Artificially added noise in frequency prevents
    ASD from reaching zero
  • Until 0.01 Hz, ASD is more or less constant
  • When the oscillation is synchronized with the
    sampling frequency (1, 0.8, 0.6, ... Hz), small
    ASD can be measured.

14
Consideration
  • The effect of RH in the sample on the
    interference intensity variation was demonstrated
    by calculating averaged standard deviation
  • However, it is difficult to establish
    quantitative relationship between ASD and RH
    variation
  • High speed camera is necessary

15
Testing MEA with Electrospun Electrode
  • 1 cm2 MEA made
  • Highest OCV observed was 0.79 V
Write a Comment
User Comments (0)
About PowerShow.com