Impedance spectroscopy of KBr: Difference between revisions
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4. Frequency generator | 4. Frequency generator | ||
==Procedure== | ==Procedure== | ||
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5. Data Analysis: Analyze the collected data using appropriate software or mathematical models. This includes creating Nyquist or Bode plots to visualize the data and fitting the data to an equivalent circuit model. | 5. Data Analysis: Analyze the collected data using appropriate software or mathematical models. This includes creating Nyquist or Bode plots to visualize the data and fitting the data to an equivalent circuit model. | ||
==Timeline== | |||
==Timeline and Milestone== | |||
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|+ Timeline | |||
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| Week 8 (3/4 — 3/8) || Debug sensor module hardware devices and software code || | |||
|- | |||
|Week 9 — Week 10（3/11 — 3/22) || Measurements using gas sensors to obtain a database || | |||
|- | |||
|Week 11 — Week 12（3/25 — 4/5）|| Fit curve to obtain the corresponding relationship between the output value and the gas concentration || | |||
|- | |||
|Week 13 (4/8 — 4/12) || Analyze experimental results and complete reports || | |||
|} | |||
Revision as of 11:02, 9 April 2024
Team members
Laphas Precmcharoen, Song Runlin, Gao Jia
Idea
This project aims to study the electrical properties of Potassium Bromide (KBr) using impedance spectroscopy.
Materials
1. Electrochemical Impedance Spectroscopy (EIS) System
2. KBr samples
3. Two-electrode system
4. Frequency generator
Procedure
1. Sample Preparation: Prepare the KBr samples for testing. This may involve grinding KBr into a fine powder and pressing it into a pellet.
2. Electrode Setup: Set up the two-electrode system. One electrode is placed on either side of the KBr sample.
3. Impedance Measurement: Connect the KBr sample to the EIS system. Apply a small perturbation signal, and measure the impedance over a range of frequencies.
4. Data Collection: Record the impedance data at each frequency.
5. Data Analysis: Analyze the collected data using appropriate software or mathematical models. This includes creating Nyquist or Bode plots to visualize the data and fitting the data to an equivalent circuit model.
Timeline
Timeline and Milestone
| Week 8 (3/4 — 3/8) | Debug sensor module hardware devices and software code | |
| Week 9 — Week 10（3/11 — 3/22) | Measurements using gas sensors to obtain a database | |
| Week 11 — Week 12（3/25 — 4/5） | Fit curve to obtain the corresponding relationship between the output value and the gas concentration | |
| Week 13 (4/8 — 4/12) | Analyze experimental results and complete reports |