How to Calculate Spring Constant from Force vs. Distance Data in Excel

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SUMMARY

This discussion focuses on calculating the spring constant (k) from force vs. distance data using Excel. The data points indicate a non-linear relationship, with the calculated spring constant being approximately 23.686 based on the natural logarithm transformation of the force data. The discussion emphasizes the importance of plotting the data correctly to determine the nature of the spring, specifically whether it behaves like a normal spring, which would show a linear relationship when force is plotted against distance.

PREREQUISITES
  • Understanding of Hooke's Law and spring constants
  • Familiarity with Excel for data plotting and analysis
  • Basic knowledge of logarithmic functions and their applications
  • Ability to interpret graphs and slopes in physics contexts
NEXT STEPS
  • Learn how to use Excel's graphing tools to plot force vs. distance data
  • Study the principles of Hooke's Law and its implications for spring behavior
  • Explore the concept of logarithmic transformations in data analysis
  • Investigate how to derive and interpret the slope of a graph in physics experiments
USEFUL FOR

Students in introductory physics courses, educators teaching mechanics, and anyone interested in experimental physics and data analysis techniques.

microdoodle
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Homework Statement


A spring has a force sensor attached to it and is pulled at increasing distances from rest. A reading is recorded on the force sensor and the data is plotted below.
Plot data on Excel
x (m) Force (n)
.005 1.9
.010 2.5
.020 3.4
.030 4.2
.040 5.3
.050 5.6
.060 5.8
.070 6.6
.080 7.1
.090 7.5

(Basically he made us plot these numbers in excel then predict k and stuff then we did =ln( and found the natural log on excel i believe to make a straight line??)

a. Based on the graph of the raw data predict a relative k (less than 1 , about 1 , greater than 1) and explain your prediction

I put since that line is above the coordinate 1,1 K is greater than 1

b. Predict an exponential and provide a justification for your prediction.

I put the exponential seems to be lower than 1 because the line has a small decline in the middle.

c. Create a second graph to determine your exponent and calculate a spring constant.
I'm guessing this is the natural log graph but what is spring constant? by using y = mx +b i found for y=k (x to the nth power) to be n = .4838 and k= 23.686

d. Create another graph of y vs. x to the nth power now that you know your n value and verify your k. Place this graph on paper.

Now I am totally lost maybe you can help me out here. Remember this is my 3rd DAY in Hon Physics. Feel my pain!e. If a normal spring requires a force to extend the spring that is directly proportional to the distance extended, is this a normal spring? In other words, if it was a normal spring what should we have seen when we plotted a graph of the raw data?

I am totally lost here too

Homework Equations


The Attempt at a Solution

 
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microdoodle said:
d. Create another graph of y vs. x to the nth power now that you know your n value and verify your k. Place this graph on paper.

Now I am totally lost maybe you can help me out here. Remember this is my 3rd DAY in Hon Physics. Feel my pain!

e. If a normal spring requires a force to extend the spring that is directly proportional to the distance extended, is this a normal spring? In other words, if it was a normal spring what should we have seen when we plotted a graph of the raw data?

I am totally lost here too

Welcome to PF.

They are asking you to make a graph whose x dimension is in units of (x)n.
You should expect that if you plotted y = k*(x)n with your calculated n, you will get a straight line that is slope 23 from your data?

As to part e wouldn't what they are asking really be if you plotted it on a regular (x)1 axis that the locus of data points would be a straight line?
 


LowlyPion said:
Welcome to PF.

They are asking you to make a graph whose x dimension is in units of (x)n.
You should expect that if you plotted y = k*(x)n with your calculated n, you will get a straight line that is slope 23 from your data?

As to part e wouldn't what they are asking really be if you plotted it on a regular (x)1 axis that the locus of data points would be a straight line?

Yeah for part e. he was asking if it was a straight line or not and the slope was 23. Thank You for your help
 

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