Measurement is a process of comparison: the measured quantity is compared to a known standard. Before we measure, we must establish the relationship between the readout val-ues of our instrument and known input values of the measurand. This process is called as calibration.
The purpose of calibrating a system is to:
This project will develop scripts to calibrate two independent pressure measurement systems:
The pressures produced by the tester as shown by the values stamped on the weights as the exact true pressures. The true pressure, the pressure indicated on the analog gauge, and the voltage output by the pressure transducer are given to you, respectively.
The figure below shows a picture of a typical deadweight tester instrument.
An operational schematic is shown in the following figure
Learn More at http://54.243.252.9/engr-1330-webroot/6-Projects/P-InstrumentCalibration/Calibrationho.pdf
- A test ID (in practice replicate tests are conducted. Why?)
- The true applied pressures from 5 psig to 105 psig.
- The analog pressures read from the gauge.
- The voltages read from the transducer.
Some places to start
Beckwith, Marangoni, and Lienhard, Mechanical Measurements, Fifth Edition, Addison-Wesley PublishingCo., Reading, Massachusetts, 1993.
Bevington and Robinson, Data Reduction and Error Analysis for the Physical Sciences, Second Edition,WCB/McGraw Hill, Boston, Massachusetts, 1992.
Meyer, Paul L., Introductory Probability and Statistical Applications, 2nd Edition, Addison-WesleyPublishing Co., Reading, Massachusetts, 1970
Kline, S. J. and F. A. McClintock (1953). Describing uncertainties in single-sample experiments. Mechanical Engineering (No. 75), 3-9. http://54.243.252.9/engr-1330-webroot/6-Projects/P-InstrumentCalibration/Kline_McClintock1953.pdf
Holman, J. P. (1989). Experimental Methods for Engineers, 5th Edition. New York, NY: McGraw-Hill. http://54.243.252.9/engr-1330-webroot/6-Projects/P-InstrumentCalibration/holman1989.pdf
Doebelin, E. O. (1990). Measurement Systems (4th ed.). New York, NY: McGraw-Hill.
Test | Sensor Voltage |
---|---|
U1 | 3.0 |
U2 | 0.2 |
U3 | 0.03 |
U4 | 5.0 |
U5 | 0.07 |
Each team must submit an effort sheet which is a table with a clear discription of the tasks undertaken by each member and has the signiture of all team members. The effort sheets should be submitted digitally via Blackboard.
This report must include:
Your report should be limited to 7 pages, 12 pt font size, double linespacing (exclusive of references which are NOT included in the page count). You need to cite/reference all sources you used. This report must be submitted by Midnight April 20th in PDF format.
This report must include:
All the references used in the entire length of the project.
This report must be submitted by Midnight May 2nd in PDF format, along with the following documents:
A well-documented Jupyter Notebook (.ipynb file) for the implementation of the data model user interface.
Above items can reside in a single notebook; but clearly identify sections that perform different tasks.
A how-to video demonstrating the application, performance and description of what you did for the project, including the problems that you solved as well as those that you were not able to solve.
A project management video (up to 5 minutes) in which you explain how you completed the project and how you worked as a team.
Above items can reside in a single video; but structure the video into the two parts; use an obvious transition when moving from "how to ..." into the project management portion.
Keep the total video length to less than 10 minutes; submit as an "unlisted" YouTube video, and just supply the link (someone on each team is likely to have a YouTube creator account). Keep in mind a 10 minute video can approach 100MB file size before compression, so it won't upload to Blackboard and cannot be emailed.