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Determining the Young's Modulus of Steel
Sonia Baci
School of Physics and Astronomy
The University of Manchester
First Year Laboratory Report
Oct 2009
Abstract:Young's modulus for steel was determined by using a steel wire hung to a beam
attached to the laboratory ceiling. A series of weights with increasing mass were attached to the wire, causing it to stretch downwards. The final result is:
. The accuracy is limited by the measurements of the diameter and length of the wire.
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Introduction:Young's modulus (E) is a measure of the stiffness of an elastic material. It is also
known as the Young modulus, modulus of elasticity or elastic modulus. It is defined as the ratio of the uniaxial stress over the uniaxial strain in the range of stress in which
Hooke's Law ( -where L is the length of the rod and A is the cross-sectional
area of the rod that is tensioned by a force F) holds. This can be experimentally determined by hanging different weights to the rod.
Description of the experiment:To determine the Young's Modulus for steel, we use a steel wire of length 1m and
a diameter of 0.30 mm with an uncertainty of 0.005 mm. We hang the wire by a beam attached to the ceiling of the laboratory and then attach to the wire a series of weights. Each time, the distance from the floor to the weight is measured.
Data obtained in the measurement of Young's
Modulus
Mass
(kg)
Distance (mm)
0.5 9.70
1.0 9.26
1.5 8.96
2.0 8.64
2.5 8.38
3.0 8.00
3.5 7.62
4.0 7.36
4.5 7.04
5.0 6.60
5.5 6.00
6.0 5.22
When a load of 6.5 kg was attached, it broke the wire.First, we calculate the linear fit to check if there are any incompatible data.
Using the formulas and
we obtain the equation for the linear fit,
y=mx+c, where y is the distance and x is the mass of the load.
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We notice that the last two data do not fit to our line, which means they need to be excluded from the measurements used to calculate the Young's modulus.
The final result for the slope and the intercept is m=-0.665 and c=9.985
To quantify how good is the fit, Chi-squared is calculated using the next
formula:
Chi-squared for different number of measurements
Number of measurements Chi-squared
10 15.359
9 13.153
8 11.706
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0 1 2 3 4 5 65
6
7
8
9
10
11Plot 2: mass vs. distance
Mass(kg)
Dis
tanc
e(m
m)
data 2
linear
0 1 2 3 4 5 65.5
6
6.5
7
7.5
8
8.5
9
9.5
10Plot3 mass vs. distance
mass(kg)
dist
ance
(mm
)
data 2
linear
Only the last value for chi-squared is compatible with the rule-of thumb, , where ; N is the number of measurements while p is the number
of parameters (in this case, p=2).
Young's modulus:First, we need to determine using the following method:
We can now calculate the constant k, using the first two data of the first table and knowing that where are the distances calculated from the
floor to the weights. Therefore, and
The date used to determine Young's modulus is listed in the table below:
Mass (kg)
(m)
0.5 0.000285
1.0 0.000725
1.5 0.001025
2.0 0.001345
2.5 0.001605
3.0 0.001985
3.5 0.002365
4.0 0.002625
4.5 0.002945
5.0 0.003385
,where m' and c' are the slope and intercept of the linear fit, M represents the mass.
Also,
=> m' is calculated using the same formula as for the previous linear fit and we obtain
m'=0.00067, therefore For the uncertainty we calculate the uncertainty of the slope
and to calculate the uncertainty for E we use the formula of
the propagation of errors with multiple parameters:
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The result of the uncertainty is
Final result:
References:www.wikipedia.orgMATLAB, Version 7
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