From 04a0af4b0561f180171daf0f64294e2e695ad5d5 Mon Sep 17 00:00:00 2001
From: "Ryan C. Cooper" <ryan.c.cooper@uconn.edu>
Date: Thu, 25 Oct 2018 13:25:08 -0400
Subject: [PATCH] add lab 5 to labs

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 1 file changed, 65 insertions(+)

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 # [ugmelab.uconn.edu](https://ugmelab.uconn.edu) 
 # ME3263 Introduction to Sensors and Data Analysis (Fall 2018)
 
+## Lab #5 Mass Measurement Device with Cantilever beam
+
+# Mass measurement contest
+
+In the mass measurement contest, you will use natural frequency shifts to
+determine the mass of an object. There are three locations you can mount the
+object as seen in Figure 1, where the object is mounted in position 2. The
+experimental procedure only involves measuring natural frequency with the mass
+mounted in different positions. You can create an *engineering model* as we will
+do with experimental results from Ghatkesar *et al.* 2007
+[\[1\]](./ghatkesar-et-al-2007_higher-mode-mass-sensors.pdf), as described in
+section 2.
+
+You can use the modal analysis in **Ansys**
+[\[2\]](https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/main_page.html)
+and apply a point mass to get predicted changes in natural frequencies. This
+will create a table of values for your given cantilever for known masses for
+*interpolation* as described in section 3.
+
+**Rules of Contest**
+
+1. The masses must not leave the lab
+
+2. You cannot mount other known masses to the cantilever
+
+3. You must report your uncertainty in your mass measurement to enter the
+competition
+
+4. You must report your serial number "TJM 01-TJM 12" to enter the competition
+
+6. You may use the following tools and software: strain gage or accelerometer
+(not both), calipers, Ansys, Labview, Python, Matlab, and Excel
+
+**Winners of the contest**
+
+There will be two sets of winners for the contest:
+
+1. Lab group with the most accurate mass measurement calculated with
+$A=|m_{reported}-m_{actual}|$
+
+2. Lab section with the most precise mass measurement calculated with
+$P=\sum_{i=1}^{N}(m_{reported}-m_{actual})^2$
+
+Where $A$ is the accuracy, $P$ is the precision, $m_{reported}$ is the reported
+mass from your experiment, and $m_{actual}$ is the actual mass of the object,
+and $N$ is the total number of lab groups in a section. The group and section
+with smallest A and P, respectively will win prizes. The prizes are as such
+
+1. ** \$100 cash prize** put into your student accounts ($50/group member for
+group of 2)
+
+2. **Donuts/cookies** brought to your lab section
+
+**Lab #5 report** should include details of the following
+
+1. Your design of experiments
+
+2. Your measured results
+
+3. Your predicted results from Ansys
+
+4. Your final calibration process for measuring a mass based upon natural
+frequency changes
+
+
 ## Lab #4 Predicting Natural Frequencies with the Finite Element Method