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Q4 Consider the theoretical values for the linear expansion coefficient for copp

ID: 1632087 • Letter: Q

Question

Q4 Consider the theoretical values for the linear expansion coefficient for copper, brass, and aluminum (Table 2). Compare these values with your experimental values. What is the percentage difference in each case? Is your experimental error consistently high or low? Does this seem acceptable or did something go wrong?

Material

a (Theoretical)

x10-6 (1/oC)

a (Experimental)

x10-6 (1/oC)

Percent Difference %

(2) Copper

17 x10-6

17.8 x10-6

4.7%

(1) Brass

19 x10-6

19.2 x10-6

1.05%

(3) Aluminum

23 x10-6

26.7 x10-6

16%

Q 5 / On the basis of your answers in question 4, speculate on the possible sources of error in your experiment and how the error affects your result. How might you improve the accuracy of the experiment?

Material

a (Theoretical)

x10-6 (1/oC)

a (Experimental)

x10-6 (1/oC)

Percent Difference %

(2) Copper

17 x10-6

17.8 x10-6

4.7%

(1) Brass

19 x10-6

19.2 x10-6

1.05%

(3) Aluminum

23 x10-6

26.7 x10-6

16%

In DataStudio, from the Digits display, record the maximum length change (delta, delta_r) and the temperature change (delta T) for each rod. Record your results in Table 1. Using the equation delta_r = alpha L_o delta T. Calculate alpha for copper, brass, and aluminium. Record your results.

Explanation / Answer

by changing the temperature we have to find the change in length with respect to original length.

the change in length is very less compare to the original length.

error is majorly occured while measuring the change in length. so we have to choose the sensitive measurement in length variation.

Temperature change while supplying heat should be measured accurately.