Skip to content
Permalink
79fc618080
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Go to file
 
 
Cannot retrieve contributors at this time

Introduction to Sensors and Data Analysis

ME 3263 Fall 2018

ME 3263 Lab Report Rubric

Labs 0 and 1 have a 3-page limit and 2-figure limit. Labs 2-6 have a 5-page limit and 4-figure limit. You can add additional pages and figures in an Appendix. The Appendix will not be formally graded, but you can use it to refer to data, methods, or diagrams that are relevant.

The report is scored 0-100. Over 70 is passing. Late submissions receive 10 point penalty per day.

Part of your "writing assignments" grade is based upon the reports that you make the final edits and improve the flow. The first author listed will get credit for the writing assignment portions. Take turns as first author and co-author. The group shares the pass/fail grade for the "lab report" grade.

Repository for laboratory notebooks

To access notebooks and interactive lab material, sign into github.uconn.edu, then follow the link to the class server.

ugmelab.uconn.edu

ME 3263 Introduction to Sensors and Data Analysis (Fall 2018)

Lab #3 Measuring Natural Frequencies

What are natural frequencies

In free vibration (i.e., no external forcing), structural components oscillate at specified frequencies or combinations of frequencies. Since these vibrations are unforced, the associated frequencies are referred to as natural frequencies; it's how the system vibrates if left to behave on its own. In contrast, driven linear systems vibrate at the driving frequency. An amplification of the response (called resonance) occurs when the driving frequency coincides with one of the natural frequencies. In short, the system is driven at a frequency at which it likes to vibrate. Large amplitude oscillations are the result. So it is important to know what the natural frequencies are a priori so you can avoid driving the system into resonance.

Lab 3 github files

Lab #2 - Static beam deflections with strain gage

What is a Strain Gage?

A strain gage consists of a looped wire that is embedded in a thin backing. Two copper coated tabs serve as solder points for the leads. See Figure 1a. The strain gage is mounted to the structure, whose deformation is to be measured. As the structure deforms, the wire stretches (increasing its net length ) and its electrical resistance changes: $R=\rho L/A$, where $\rho$ is the material resistivity, $L$ is the total length of the wire, and $A$ is the cross sectional area of the wire. Note that as $L$ increases, the cross sectional area changes as well due to the Poisson contraction; the resistivity also changes.

Figure 1: a) A typical strain gage. b) One common setup: the gage is mounted to measure the x-direction strain on the top surface. It's engaged in a quarter bridge configuration of the Wheatstone bridge circuit.

Figure 1: a) A typical strain gage. b) One common setup: the gage is mounted to measure the x-direction strain on the top surface. It's engaged in a quarter bridge configuration of the Wheatstone bridge circuit.

Lab #1 - Measurements of machining precision and accuracy

Lab 1 github files

Outline and figures due in week 4 at beginning of lab

Final report due day before lab by 11:59pm

How can you measure something?

All measurements have traceable standards. There are seven base units in SI - meter (length), second (time), Mole (amount of substance), Ampere (electric current), Kelvin (temperature), Candela (Luminous intensity), and kilogram (mass) 1. Any measurement you make should have some method to check against a reference. In this lab, we will use calipers that measure dimensions i.e. meter 1E-3 (length). Calipers can always be verified to work with gage blocks.

Sources of measurement variations

No measurement is exact. No surface is compeletely flat. Every measurement you make has two types of uncertainties, systematic and random. Systematic uncertainties come from faults in your assumptions or equipment.

Lab #0 - Introduction to the Student t-test

Outline and figures due Wed 9/5 by 5pm

Final report due Thu 9/13 by 5pm

Lab 0 interactive notebook in ipynb jupyter notebook

We use statistics to draw conclusions from limited data. No measurement is exact. Every measurement you make has two types of uncertainties, systematic and random. Systematic uncertainties come from faults in your assumptions or equipment. Random uncertainties are associated with unpredictable (or unforeseen at the time) experimental conditions. These can also be due to simplifications of your model. Here are some examples for caliper measurements:

In theory, all uncertainies could be accounted for by factoring in all physics in your readings. In reality, there is a diminishing return on investment for this practice. So we use some statistical insights to draw conclusions.