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    Table of Contents

    Table of Contents......................................................................................................................2

    Theoretical background...........................................................................................................3

    Experimental Setup..................................................................................................................4

    Experiment................................................................................................................................6Results........................................................................................................................................8

    References ...............................................................................................................................11

    Apendix ....................................................................................................................................12

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    Theoretical background

    First, we can define the specific heat capacity of a material as the quantity of energy

    needed to raise the temperature of one gram of a substance by one degree Kelvin. For a

    substance with mass m heated with energy dQ with temperature change of dT has a specific

    heat capacity with the following relation:

    Knowing this relation from thermodynamics: dU=dQ-pdv; and assuming that our

    sample is supplied with heat energy with no volume change. Therefore the heat energy supplied

    is assumed to be equal the internal energy of the sample.

    There are two main contributions for the internal energy term U:

    Phonons: phonons can be described as lattice vibrations. This contribution is

    temperature dependent but for T>1K.

    o The Debye model approximation states that the contribution for phonons for

    different temperature ranges as:

    At sufficiently high temperatures: The specific heat capacity contribution

    is almost equals to 3R 25J/mol/k.

    At low temperatures: The specific heat capacity contribution is almost

    observed as T3 dependence.

    Conduction Electrons: only in metals, the conduction electrons which are thermally

    excited contribute to the electrical conductivity. This contribution dominates at T

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    So we can express the total specific heat capacity of a metal due to the contributions of

    both the phonons and the conduction electrons which is related to the following equation:

    Where ; R is the gas constant equals to 8.314 and is the Debye

    temperature.

    If we plot a relation between and , we can calculate A from the slope so we can

    determine the Debye temperature for the material and the sommerfeld constant form the

    intercept.

    Experimental Setup

    The following instrument was used as the main apparatus for the experiment:

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    Fig. 1: Schematic representation of the equipment used for determining the molar heat

    capacity of the copper sample at low temperatures.

    In the centre of the equipment is the object of interest the sample: copper cylinder with

    a relatively large mass (424 g in this case). The wires (made of thermo-insulating material) are

    holding the sample placed in a relatively high vacuum ( 4 510 10P = mbar). A carbon resistor

    is in contact with the sample and is used to measure the sample temperature. Carbon is used for

    this purpose because it is not a metal (resistance of the metals decreases when decreasing

    temperature thus they would not be accurate thermometers at very low temperatures). For the

    case of carbon the resistivity increases with decreasing temperature, but unlike typical

    semiconductors, carbon still remains a relatively good conductor at low temperatures. A heater

    made of a thin wire is wound around the sample. Electrical energy from the power source is

    used to heat the sample. Surrounding the metal container where the sample is situated is a

    Dewar vessel filled with liquid helium. The helium containing Dewar vessel is situated in

    another Dewar vessel filled with liquid nitrogen. A system of pipes and pumps is incorporated

    in the apparatus in order to provide vacuum and for introducing heat exchange gas.

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    Experiment

    First, the Dewar vessels were filled with liquid nitrogen and liquid helium. Then Pump1

    (see Fig. 1) was used to obtain vacuum in the sample container to thermally insulate the sample.

    Pump2 provided a vacuum in the Dewar vessel containing the liquid helium in order to lower itstemperature (evaporating liquid helium is an endothermic process, thus a temperature in the

    order of 2 K can be reached). The next step was to introduce the exchange gas; helium gas from

    the inner Dewar vessel was moved into the sample container by opening the valve which

    connects Pump1 to Pump2 (Fig. 1). The exchange gas is necessary to transport heat away from

    the sample towards the liquid helium.

    After the sample had been cooled down to approximately 2 K the exchange gas was

    evacuated from the container, and the sample was thermally insulated. That gave us the

    5

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    possibility to measure the heat capacity. First, the temperature was measured indirectly by the

    computer software from the resistance.

    The sample was being heated by the electrical heater. In our case, constant voltage was

    applied for a determined time interval. The voltage, the current and the heating time were

    recorded. Assuming constant (average) values for the voltage and current, the energy supplied

    by the heater was calculated using the following formula:

    Q I U t =

    All these steps were performed many times in the temperature range from 2 K until 26

    K.

    Below we can see the temperature vs. time graph, which was constructed from the

    obtained data. From the ramps on this graph the temperature values for each heating can be

    determined.

    0 500 1000 1500 2000 2500 3000 3500

    0

    5

    10

    15

    20

    25

    Temperature,

    K

    Time, s

    Fig. 2: Temperature vs. Time

    On the graph, in the approximate region of 750-800s we can see quite big decrease of

    temperature before to consequent heatings. That is an experimental error, which was caused by

    a long pause between the heatings.

    The molar heat capacity of the sample is defined by:

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    ( ) ( )moldQ Q

    c T c T n dT n T

    = =

    Knowing the mass of the sample (Cu, 424g), the number of moles can be determined by

    ( )

    ( )

    m Cun

    A Cu= . Thus all the parameters necessary are known, and the molar heat capacity of

    copper corresponding to different temperatures can be calculated. The acquired data are

    presented in and Table 2 in the appendix.

    Results

    The graph obtained from the experimental data, showing the relation of the molar heat

    capacity versus temperature is presented in the following figure:

    0 5 10 15 20 25

    0,0

    0,5

    1,0

    1,5

    2,0

    2,5

    3,0

    Molar Heat Capacity

    MolarHeatCapacity(J*K-1*mol-1)

    Temperature (K)

    Fig. 3:Dependence of the molar heat capacity of copper on temperature

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    According to free electron theory, the shape of the curve near very low temperatures is dictated

    by the linear term of the equation. On the contrary, at higher temperatures

    the cubic term would dominate. A characteristic of the obtained graph is that the molar heat

    capacity of the metal approaches zero at very low temperatures. This is in agreement with the

    theory.

    We see from the figure 3 one point at 9.731 K and 0.1818 J*K-1*mol-1, which deviates

    from the total behavior. Most probably data for this particular value was either measured or

    written dawn wrongly.

    Next, if we divide this equation by T we obtain:

    2( )c TAT

    T= +

    If we plot( )c T

    Tas a function of 2T we should obtain a straight line with a slope A and

    an intercept . However, our results plotted on Fig. 4 do not correspond to the theoretical

    prediction of equation for C(T). We obtained a nonlinear relationship. Applying the least square

    fitting method, we constructed a linear trend line. These results are shown in the following

    figure:

    0 100 200 300 400 500 600 700

    0,00

    0,02

    0,04

    0,06

    0,08

    0,10

    0,12

    Cmol/T

    Linear Fit of Cmol/T

    Cmol/T

    (J*K-2*mol-1)

    T 2 (K2)

    Equation y =a +

    Adj. R-Squ 0,9650

    Value Standard E

    Cmol/T Intercep -0,00366 0,00119

    Cmol/T Slope 1,73983 5,1677E-6

    Fig. 4: Dependence of the quotient of the molar heat capacity and temperaturec

    Tversus

    the square of the temperature 2T

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    Note that the slope of the fitting is A=1.73983*10^-4 JK-4mol-1 and the intercept is at =-

    0,00366 J*K-2*mol-1. The Debye temperature can be readily calculated using the slope A by the

    equation4

    312

    5D

    R

    A

    = . The following result was obtained D =223.4K.

    The theory predicts a line intersecting at some positive intercept ( ). Our results,however, display a negative intercept. This indicates that a systematic error might be present.

    We might have some preliminary assumptions concerning the origin of this error. One of the

    reasons might be the slow heating rate. If we have a look again at the figure 1, we see that the

    slope of the temperature curve at higher values changes several times and if we come back to

    the last graph we see that the dots at the temperatures higher than 15K, where we used 1K

    heating step, are shifted upwards, which results in negative intercept. For that purposes we

    decided to neglected the points at lower temperature and we found that in that case

    A=9,524*10^5 JK-3mol-1 and =0,0135 J*K-1*mol-1 (fig. 5)

    0 100 200 300 400 500 600 700

    0,00

    0,02

    0,04

    0,06

    0,08

    0,10

    0,12

    Cmol/T

    Linear Fit of Cmol/T

    Cmol/T(J*K-2*mol-1)

    T 2 (K2)

    Equation y =a +

    Adj. R-Squ 0,9288

    Value Standard E

    Cmol/T Interce 0,00135 4,45977E-

    Cmol/T Slope 9,52374 4,7291E-6

    Fig. 5: Dependence of the quotient of the molar heat capacity and temperaturec

    Tversus

    the square of the temperature2

    T

    In this case the Debye temperature will be 273K, which is much closer to the theoretical

    value for copper of 343.5K [1].

    9

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    References

    1. Charles Kittel, Introduction to Solid State Physics, John Wiley & Sons; 8th international

    edition edition (2004)

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    Appendix

    Table 1:

    Results obtained directly by measurement. U (V) is the applied voltage, I is the applied

    electrical current and t is the time interval of heating. The current is expressed as Volts

    applied to a resistance equal to 10 Ohms, which is the resistance of the heater wire.

    U I t

    V A s

    0,1526 0,00167 19,1

    0,1536 0,0018 22,58

    0,1533 0,00155 27,22

    0,1546 0,00182 40,760,1538 0,00161 55,02

    0,2301 0,00275 23,8

    0,2325 0,00255 24,15

    0,291 0,00349 15,98

    0,2941 0,00348 20,07

    0,2922 0,0035 22,34

    0,2944 0,0035 101,5

    0,2949 0,00347 41,03

    0,441 0,00501 13,27

    0,446 0,00524 34,540,4438 0,00515 39,78

    0,5905 0,00699 26,35

    0,5906 0,00679 31,14

    0,7325 0,00855 22,39

    0,7413 0,0086 31,1

    0,7418 0,00885 25,06

    0,7409 0,00888 51,29

    0,7456 0,00893 30,99

    0,7503 0,00955 104,9

    1,086 0,01281 29,921,00772 0,01284 33,92

    1,3451 0,01553 24,11

    1,3584 0,01603 24,56

    1,3587 0,01614 21,87

    1,3667 0,01584 36,62

    1,781 0,0202 47,61

    1,7438 0,02029 52,03

    1,7467 0,02063 24,98

    1,7475 0,02059 117,39

    1,7782 0,02108 128,691,8071 0,02124 148,03

    2,435 0,0281 123,37

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    2,458 0,0281 110,19

    2,447 0,029 134,41

    2,488 0,0291 149,79

    2,505 0,029 206,47

    2,533 0,0299 223,65

    2,54 0,0302 249,98

    Table 2:

    Calculated parameters necessary for solving the problem. Taverage is the mean ofTstart and Tfinish,

    which are the temperatures of the sample correspondingly before and after heating, Q is the

    portion of heat supplied to the sample Cmol is the molar heat capacity of the copper sample.

    Additionally, T2is the square of the Taverageand Cmol/Tis quotient of the molar heat capacity and

    average temperature.

    Tstart Tfinish T Taverage T2

    K K K K K 2

    2,478 2,69 0,212

    2,584 6,67706

    2,679 2,883

    0,204

    2,781 7,73396

    2,864 3,065

    0,201

    2,9645 8,78826

    3,009 3,26

    4

    0,25

    5

    3,1365 9,83763

    3,195 3,46 0,265

    3,3275 11,07226

    3,387 3,676

    0,289

    3,5315 12,47149

    3,643 3,874

    0,231

    3,7585 14,12632

    3,796 4,044

    0,248

    3,92 15,3664

    3,953 4,225

    0,272

    4,089 16,71992

    4,164 4,42

    3

    0,25

    9

    4,2935 18,4341

    43,877 4,61

    90,74

    24,248 18,0455

    4,507 4,835

    0,328

    4,671 21,81824

    4,739 5,012

    0,273

    4,8755 23,7705

    4,909 5,542

    0,633

    5,2255 27,30585

    5,514 6,034

    0,52 5,774 33,33908

    5,971 6,537 0,566 6,254 39,112526,51 7,04 0,53 6,777 45,9277

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    4 4 3

    6,914 7,46 0,546

    7,187 51,65297

    7,424 8,046

    0,622

    7,735 59,83022

    8,043 8,44 0,397

    8,2415 67,92232

    8,439 9,127

    0,688

    8,783 77,14109

    9,111 9,441

    0,33 9,276 86,04418

    9,425 10,037

    0,612

    9,731 94,69236

    10,015

    10,574

    0,559

    10,2945

    105,97673

    10,544

    11,092

    0,548

    10,818 117,02912

    11,035

    11,557

    0,522

    11,296 127,59962

    11,579

    12,034

    0,455

    11,8065

    139,39344

    12,075

    12,451

    0,376

    12,263 150,38117

    12,472

    13,05

    0,578

    12,761 162,84312

    13,025

    14,06

    1,035

    13,5425

    183,39931

    14,103

    15,062

    0,959

    14,5825

    212,64931

    15,086

    15,445

    0,359

    15,2655

    233,03549

    15,432

    16,456

    1,024

    15,944 254,21114

    16,462

    17,443

    0,981

    16,9525

    287,38726

    17,445

    18,438

    0,993

    17,9415

    321,89742

    18,439

    19,598

    1,159

    19,0185

    361,70334

    19,605

    20,481

    0,876

    20,043 401,72185

    20,49

    2

    21,4

    56

    0,96

    4

    20,974 439,908

    6821,464

    22,441

    0,977

    21,9525

    481,91226

    22,45 23,436

    0,986

    22,943 526,38125

    23,436

    24,439

    1,003

    23,9375

    573,00391

    24,442

    25,436

    0,994

    24,939 621,95372

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    Q P Cmol Cmol/T

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    J watt J*K-1*mol-1

    J*K-2*mol-1

    0,00487 2,55*10-4

    0,00344 0,00133

    0,00624 2,76*10-4

    0,00458 0,00165

    0,00647 2,38*10-4

    0,00482 0,00163

    0,01147 2,81*10-4

    0,00674 0,00215

    0,01362 2,48*10-4

    0,0077 0,00231

    0,01506 6,33*10-4

    0,0078 0,00221

    0,01432 5,93*10-4

    0,00928 0,00247

    0,01623 0,00102 0,0098 0,0025

    0,02054 0,00102 0,01131 0,00277

    0,02285 0,00102 0,01321 0,003080,10459 0,00103 0,02111 0,00497

    0,04199 0,00102 0,01917 0,0041

    0,02932 0,00221 0,01608 0,0033

    0,08072 0,00234 0,0191 0,00365

    0,09092 0,00229 0,02619 0,00454

    0,10876 0,00413 0,02878 0,0046

    0,12488 0,00401 0,03502 0,00517

    0,14023 0,00626 0,03846 0,00535

    0,19827 0,00638 0,04774 0,00617

    0,16452 0,00656 0,06206 0,00753

    0,33745 0,00658 0,07346 0,00836

    0,20634 0,00666 0,09364 0,0101

    0,75165 0,00717 0,18394 0,0189

    0,41624 0,01391 0,11152 0,01083

    0,4389 0,01294 0,11995 0,01109

    0,50364 0,02089 0,1445 0,01279

    0,5348 0,02178 0,17603 0,01491

    0,4796 0,02193 0,19103 0,01558

    0,79277 0,02165 0,20541 0,0161

    1,71283 0,03598 0,24785 0,0183

    1,84091 0,03538 0,28749 0,01971

    0,90014 0,03603 0,37551 0,0246

    4,22381 0,03598 0,61775 0,03874

    4,82387 0,03748 0,73644 0,04344

    5,68181 0,03838 0,85693 0,04776

    8,44141 0,06842 1,09078 0,05735

    7,6108 0,06907 1,30117 0,06492

    9,53814 0,07096 1,48181 0,07065

    10,84492

    0,0724 1,66241 0,07573

    14,99901

    0,07264 2,27821 0,0993

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    16,93851

    0,07574 2,52919 0,10566

    19,17547

    0,07671 2,88913 0,11585

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