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Informes Técnicos Ciemat 929 mayo, 2000 A Simple Method to Measure the Thermal Contraction Percentage of a Solid Between Room and Liquid Nitrogen Temperatures A. Grau Carles A.GrauMalonda Instituto de Estudios de la Energía
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Informes Técnicos Ciemat 929mayo, 2000

A Simple Method to Measurethe Thermal Contraction Percentageof a Solid Between Roomand Liquid Nitrogen Temperatures

A. Grau CarlesA.GrauMalonda

Instituto de Estudios de la Energía

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Toda correspondent en relación con este trabajo debe dirigirse al Servicio de

Información y Documentación, Centro de Investigaciones Energéticas, Medioambientales y

Tecnológicas, Ciudad Universitaria, 28040-MADRID, ESPAÑA.

Las solicitudes de ejemplares deben dirigirse a este mismo Servicio.

Los descriptores se han seleccionado del Thesauro del DOE para describir las materias

que contiene este informe con vistas a su recuperación. La catalogación se ha hecho

utilizando el documento DOE/TIC-4602 (Rev. 1) Descriptive Cataloguing On-Line, y la

clasificación de acuerdo con el documento DOE/TIC.4584-R7 Subject Categories and Scope

publicados por el Office of Scientific and Technical Information del Departamento de Energía

de los Estdos Unidos.

Se autoriza la reproducción de los resúmenes analíticos que aparecen en esta

publicación.

Depósito Legal: M -14226-1995ISSN: 1135-9420ÑIPO: 238-00-002-0

Editorial CIEMAT

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CLASIFICACIÓN DOE Y DESCRIPTORES

S46

MEASURING INSTRUMENTS; CONTRACTION; THERMAL ANALYSIS; SOLIDS;AMBIENT TEMPERATURE; NITROGEN; LIQUIDS; GRUENEISSEN CONSTANT; THERMALEXPANSION

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A Simple Method to Measure the Thermal Contraction Percentageof a Solid between Room and Liquid Nitrogen Temperatures

Grau Carles, A.: Grau Malonda, A.

26 pp. 4 fig. 28 refs.

Abstract:

We describe how to build a simple device for measuring, with a reasonable good accuracy, the thermalcontraction of a flat sample between room and liquid nitrogen temperatures. The contraction percentage ofthe sample is determined by the dimensional comparison of two images taken through the bottom of atransparent quartz tray. Instead of a photo or video camera, a high-resolution flatbed scanner is utilized toavoid the correction of perspectives. The so-called Grüneisen approximations are applied to evaluate thecontraction percentages for intermediate temperatures.

Un Método Sencillo de Medida del Porcentaje de Contracción Térmicaen un Sólido entre la Temperatura Ambiente y la del Nitrógeno Líquido

Grau Caries, A.: Grau Malonda, A.

26 pp. 4 fig. 28 refs.

Resumen:

Se describe la construcción un aparato simple para medir, con una precisión aceptable, la contraccióntérmica de una muestra plana entre la temperatura ambiente y la temperatura del nitrógeno líquido. Elporcentaj e de contracción de la muestra se determina mediante la comparación dimensional de dos imá-genes tomadas a través del fondo transparente de una cubeta de cuarzo. Con el fin de evitar las correccio-nes por perspectivas, en lugar de una cámara de fotos o de video, se emplea un escáner plano de altaresolución. Para evaluar los porcentajes de contracción a temperaturas intermedias se utilizan las llamadasaproximaciones de Grüneisen.

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CONTENTS

1. INTRODUCTION 1

2. THE GRÜNEISEN APPROXIMATION 3

3. THE FLATBED SCANNER AS A CALIBRATED

CALIBRATED MEASURING DEVICE 7

How the scanner works 7

How the scanner measures 8

How the scanner is calibrated 9

The thermal isolation of the scanner 10

4. MEASUREMENT OF THE CONTRACTIONPERCENTAGE OF ALUMINUM 12

5. REFERENCES 16

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A Simple Method to Measure the Thermal Contraction

Percentage of a Solid between Room and Liquid Nitrogen

A. Grau Carles, A. Grau Malonda

CIEMAT, Avda. Complutense 22, 28040 Madrid

We describe how to build a simple device for measuring, with a reasonable good

accuracy, the thermal contraction of a flat sample between room and liquid

nitrogen temperatures. The contraction percentage of the sample is determined by

the dimensional comparison of two images taken through the bottom of a

transparent quartz tray. Instead of a photo or video camera, a high-resolution

flatbed scanner is utilized to avoid the correction of perspectives. The so-called

Grüneisen approximations are applied to evaluate the contraction percentages for

intermediate temperatures.

1. INTRODUCTION

The precision measurement of the thermal contraction percentages of metallic and non-

metallic substances is a subject of considerable interest in physics and engineering. The

importance of thermal contraction in our daily lives is observable in bridges, concrete

sections of highways and railroad tracks, which are always made shorter to prevent

expansion in hot days. Also for temperatures out of the rage of weather fluctuations, the

study of dimensional changes in solids is important.. In the high-temperature range,

thermal expansion shows to be a serious problem, for instance, in reactors of Nuclear

Power Stations or in high-performance machinery. On the other hand, in the low-

temperature range, the thermal contraction of the components in superconducting coils

can seriously affect to the quality of the magnetic field when coils are cooled at

cryogenic temperatures. '

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Many different devices have been developed to measure thermal expansion in a

variety of materials and temperature ranges. Among them should be mentioned: push-

rod dilatometers2, twin-telemicroscopes3, laser interferometers4, parallel plate

capacitors3 and detectors of scattered x-rays6. However, all these devices (with

exception of the push-rod dilatometers) are expensive, and frequently out of the

possibilities of undergraduate laboratories.

Obviously, the simplest way to measure the contraction percentage of a two-

dimensional sample is by dimensional analysis. Although the commonly available two-

coordinate measuring devices, such as profile projectors, photographic cameras or laser

interferometers, are quite effective for room temperature measurements; they are

seriously limited when the sample is sunken into liquid nitrogen. The boiling nitrogen

and the emerging stream affect to the quality of the measurements. It is certainly

possible to access to the sunken sample with high-frequency radiation (e.g., x-rays), but

sources and detection systems are expensive, and not easily available.

We present a particularly simple two-coordinate measuring device7'8, which

provides high-resolution images of samples cooled at liquid nitrogen temperature.

Essentially, the device consists of a flatbed scanner9, which takes images of the sample

through the bottom of a transparent quartz tray10. Although the scheme of the device is

conceptually very simple, some conditions must be fulfilled by the scanner in order to

achieve successful measurements. Since the efficiency of the optical sensors depends

highly on temperature, the thermal isolation of the scanner is essential. Also the scanner

optical interface must be studied conveniently, because only a few commercially

available scanners are able to take focussed images several millimeters above the

scanner window.

To test the device, the thermal contraction percentage of aluminum between 293

and 77 K is measured. The measured percentage is inserted into the Grüneisen's

equations to derive the coefficient of linear thermal expansion as a function of

temperature. The agreement between the computed and tabulated data is better than 5%

for temperatures in the range between 77 and 293 K.

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2. THE GRUNEISEN APPROXIMATION

According to the Maxwell's equations of thermodynamics, the coefficient of

thermal expansion ß, the heat capacity at constant volume Cy, and the isothermal bulk

modulus Bf are all related by the particularly simple equation

ßVBT=yCy, (1)

where V is the total volume of the solid and y is tn e Grüneisen parameter defined by

r = v(dP/du)v.

The Grüneisen 's first approximation for solids at constant pressure states that both

parameters y and VBj are essentially independent from temperature, and consequentlythe coefficient of thermal expansion ß is proportional to the heat capacity Cy. When

the expansion of the solid (V = L?) is isotropic, ß is three times the coefficient of linear

thermal expansion a, because

(2)V, ¿ W p

and a is also proportional to Cy, i.e.,

a = ACV . (3)

The Grüneisen 's second approximation involves the computation of the expansion

percentage of the solid between the temperatures T\ and ^ {T\<To). From (3), it is

straightforward to obtain11

cp[(2{)]\, (4)

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where the subscripts 1 and 2 on the length L and the internal energy U refer to

temperatures 7j and Tj.

The two Grüneisen approximations permit one to compute the coefficient of linear

thermal expansion a and the contraction percentage between two temperatures ALI L

as a function of the heat capacity and the internal energy, respectively. According to the

Debye's model, [/and Cy can be approximated by the two expressions12

(5a)

«(?)•«T}3 ßlT x3 , 0 1

I d(T} ßlT x ,

4 I dx- T ee/r_l(5b)

where 0 is the Debye characteristic temperature of the solid and R is the universal gas

constant.

By inserting the measured contraction percentage ALIL between 77 and 293 K into

equation (4), we obtain the constant

A = —, -—I- —, . lnf ~ +11. (6)[/(©/ 293) -£/(©/ 77) \L )

Apart of considering the parameters / and VBj independent from temperature, the

slight disagreement between the Grüneisen's equations and experiment comes from the

Debye's model. Below we give some details of how the Debye's model can affect to the

accuracy of the results.

The Debye's model considers the solid as a virtual continuum. Obviously, this

approximation is strictly correct only in the low-frequency region of the spectrum g(v),

where the wavelengths of the normal nodes in a solid are significantly larger than the

interatomic distance. For sufficiently large frequencies, g(v) depends on the structure

of the lattice. More elaborated models include first- and second-neighbor interactions

between atoms in a simple cubic lattice14. However, the general behavior of the

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spectrum g(v) is very similar to the quadratic function applied in the Debye's model.

Only the presence of singularities and the asymptotic behavior of g(v) in the vicinity of

v = vm slightly modify the shape of the frequency spectrum g(v). Therefore, the final

result does not differ significantly from the obtained with the Debye's model.

In the Debye's model the contributions to the heat capacity come from the lattice

vibrations alone. Although the conduction electrons in metals also contribute to the heat

capacity, this contribution is only appreciable at very low temperatures (below 20 K for

aluminum).

The Debye's model assumes a constant value for the characteristic Debye

temperature ®. Experiment shows that 0 depends slightly on temperature14. In our

calculations, the average value for the Debye temperature is assumed to be sufficiently

accurate.

To demonstrate that small vibrations in a crystal can be decomposed into

independent normal modes of vibration, the Debye's model takes the polynomial

expansion of the interatomic potential U(r) only to the quadratic term (i.e., considers

harmonic oscillations). This assumption contradicts the result of averaging the

interatomic distance r for increasing temperatures. Effectively, by using the Boltzmann

distribution to weight r, the thermal expansion of the crystal is zero for U(r) - cr , i.e.,

r expier" /kTjdrV r 0 . (7)

f exp[cr~ /kTjdroo v '

To get an average displacement different from zero, anharmonic terms must be

added to the function U(r). By analogy with the potential well of biatomic molecules13,

we may write

= cr2-gr3-fi>4, (8)

which yields to a quadratic function of temperature for the expansion percentage16

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U^kT+ 6.562^ k2T2), (9)ro ' ö U r c4 )

where r§ is the lattice constant at 0 K. This result is in reasonable good agreement with

the expected behavior of the expansion percentage.17

Although the Debye's model refers to harmonic oscillators, it is remarkable that so

simple model yields to such excellent results. The explanation arises when we study in

detail the constant A of equations (3) and (4). The anharmonic interactions are simulated

in statistical thermodynamics by treating the vibrations as harmonic, but with

frequencies that are volume dependent. This is called the quasi-harmonic approximation

3N

where the parameter y¡ measures the volume dependency of each vibrational mode to

the heat capacity. By defining the quantity f as the ratio of sums

3/V 3N

EL.__ = í = L _ _ , ( i l )

i=\

we obtain

a= •-?-' Cy . (12)WBT

which does not modify validity of the Grüneisen's first approximation (3), because

affects only to the proportionality constant A.

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3. THE FLATBED SCANNER AS A CALIBRATED MEASURING DEVICE

Although the capability of the commercially available flatbed scanners as a rapid

and powerful tool for obtaining high-resolution bitmapped images is out of any doubt,

the scanner can only be called a 'measuring device' when, after a number of assays of

the same experiment, one obtains similar results. After the reproducibility of the results

of the device is guaranteed, the next step is to transform the measuring device into a

'calibrated measuring device'. To illustrate this concept, let us consider the ruler, a

simple daily live measuring instrument. We may build a ruler consisting of a long and

straight piece of wood in which we have plotted equally spaced ticks. It is a measuring

instrument, because every time one measures the length of one object, the same number

of ticks is obtained. However, this result makes no sense to anybody, apart from the

owner of the ruler, until the spacing between ticks is compared with a standard length

(e.g., the millimeter). The device is calibrated when one reads standard units on the

display.

3.1. How the scanner works

The essential components of flatbed scanners are basically three: a linear array of

sensors, one stepper motor and an optical interface. The optical sensors of flatbed

scanners are commonly thousands of CCD (Charged-Coupled Devices). The working

scheme of a CCD is very similar to a Photomultiplier Tube (PMT), i.e., it transforms

light into an electrical signal of amplitude that depends on the light intensity. An

Analog-to-Digital Converter (ADC) turns the signal created by the sensor into a

number. Since each sensor takes in a single sample of data, a scanner of optical

resolution 600 spi should contain 600 CCD sensors per inch on the linear array. The

motors of flatbed scanners move in step increments, which are exactly the same as the

scanner resolution. These scanners are said to have the same horizontal (X-axis) and

horizontal (7-axis) resolutions. The optical interface refers to the optical components

(i.e., lamp, lenses and mirrors) which direct the light reflected by the sample toward the

sensors.18

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Since the efficiency of the CCD sensors depends largely on temperature, for liquid

nitrogen measurements, the scanner must be protected with several millimeters of

transparent isolating material. Unfortunately, focussing mechanisms perpendicular to

the scanner surface (i.e., along the Z-axis) are, for the moment, not commercially

available for flatbed scanners. The problem of obtaining defocused images in distant

scans can be partially avoided by the selection of the adequate optical interface

configuration. It is important to remark that, for a majority of flatbed scanners,

completely defocused images are obtained when the sample is placed only a few

millimeters above the scanner window.

Figure 1 simulates the defocusing effect for increasing distances between the

sample and the lens. Since the position of the image does not change appreciably when

the sample is placed far away from the lens, the scanners with sensor arrangements near

the focal plane are not significantly affected by defocusing. Obviously, the presence of

mirrors indicates large optical lengths between the sample and the lens, and

consequently a faint defocusing effect.

Sample$.... .. %. & -,

"~ : : : -. : Image

Lens

Fig. 1. The defocusing effect observed for samples placedabove the scanner window can be reduced significantlywhen CCD sensors fall close to the focal plane.

3.2. How the scanner measures

Apparently, scanners should detect small objects in agreement with their optical

resolution. For instance, one CCP sensor in a scanner of optical resolution 600 spi

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should be able to detect a spot of size 50 p.m. However, this is certainly an

oversimplified vision of how the CCD sensors work. As coupled devices, one sensor

has a non-negligible probability of detecting the light corresponding to other

neighboring sensors. This statistical behavior of CCD sensors makes difficult to

reproduce small points or thin lines (specialists in reprography know well that line art

requires scanners of very high optical resolutions).

Geometry defines a point as the intersection of two lines. However, lines are ID

objects, and therefore, mathematical idealizations. Scanners, similarly to human eye,

detect the boundary Une between two complementary colors much better than one

single thin line on a uniform background. A point defined by the intersection of two

boundary lines takes into account the statistical behavior of the CCD sensors, because

the lines are fitted to a collectivity of samples of identical tonal values.

To achieve one point on a flat homogeneous sample, a flat pen can be used to plot

two crossing thick lines. Each intersection generates four boundary corners in

agreement with the definition of point given above.

3.3. How the scanner is calibrated

The coordinates of all points (as they were defined in the previous section) must be

referred to a two-co Ordinate reference frame. The vertical direction, or F-axis, is

defined along the direction the motor moves, while the horizontal direction, or X-axis,

is defined perpendicular to it. Both the X- and the 7-axis can be translated everywhere

inside the scanning surface.

if the step increments of the motor and the optical resolution of the scanner are of

the same size, X- and 7-scales must be identical. However, when the motor steps have

not been calibrated with sufficient accuracy, or the sample is scanned several

millimeters above the scanner window, the horizontal and the vertical scales are no

longer identical. Fortunately, the ratio between these two scales is generally conserved

during the scanning process, and can be corrected easily.

By making use of a two-coordinate standard, we obtain the two scale factors fx and

fy, which transform the arbitrary units of X- and 7-axes into standard units. Figure 2

shows the variation of the two scale factors for increasing distances between the sample

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and the scanner window. The more we increase the separation distance between the

object and the lens, the more the image width is reduced. On the other hand, the

distance between the sample and the lens does not affect the image height, because Y-

axis only depends on the stepper motor. The linear behavior of the points of X-axis in

Fig. 2 is in agreement with the expected geometrical behavior of a convergent lens.

1.005 -

0.995 4

0.99 4

0 0.985 4

1 0.98 -I 0.975 j« 0.97 1

0.965 10.96 i

0.955 -Í0.95 -,

0

- a B * = -

VerticalScale

> • • • _

HorizontalScale

2 4 6

Distance (mm)

10 12

Fig. 2. For gradually increasing separation distances between the scanner windowand the sample, the horizontal scale is reduced, while the vertical scale isconserved.

3.4. The thermal isolation of the scanner

The technical specifications of a majority of scanners recommend environmental

temperatures between 10 and 30°C, as a clear indication of how temperature affects to

the efficiency of the CCD sensors. Obviously, measurements at liquid nitrogen

temperature first require the thermal isolation of the scanner. Furthermore, the allowed

isolating materials are restricted to the transparent ones (e.g., air, glass or quartz).

Figure 3 shows the experimental setup utilized to measure the thermal contraction

of aluminum between 293 and 77 K. A quartz tray of dimensions 250x200x50 mm is

10

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placed on a 300x250x3 mm conventional giass window. The glass window and the tray

have similar dimensions to avoid the glass to bend after the addition of the liquid

nitrogen into the tray. To adapt the glass window to the dimensions of the outer chassis

box, the glass window is framed with 5 mm thick glass fiber. A 3 mm depth step,

carved into the glass fiber, holds the window along its perimeter. The height and

inclination of the tray can be adjusted with three screws at each internal side of the outer

chassis box. Between the glass window and the scanner remains a 2 mm thick air

chamber.

Quartz tray

ScannerOuter chassis box r -""^

...^ *

Height-adjustableshelf for the tray G l a s s

window

Fig. 3. Scheme of the device utilized to measure the contraction percentage ofaluminum between room and liquid nitrogen temperatures.

All the components between the sample and the detection system (i.e., quartz, glass

and air) contribute to isolate the scanner from cool. We recall that heat can be

transported by conduction, convection or radiation.

Immediately after the addition of the liquid nitrogen into the tray, heat flows from

the scanner at room temperature to the liquid nitrogen, inducing by conduction a time

varying temperature gradient that follows the Fourier's equation

(.3)

11

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where the Z-axis is defined perpendicular to the scanning surface, / is the time after the

addition of liquid nitrogen, and a is the thermal diffusivity of the medium in which heat

is propagating.19 The very low thermal diffusivity of quartz is one of the reasons that

motivated the selection of this material for building the tray. Quartz delays the

propagation of heat, and avoids the glass window to break. Other two reasons are the

quartz capability of resisting the direct addition of liquid nitrogen2 and the possibility

of joining the walls of the tray with fussed quartz21.

The amount of energy involved during the cooling process requires carrying out

measurements before all components of the device have reached the thermal

equilibrium. In such a way, the stationary situation must be delayed as much as

possible. Since the coefficient of thermal conduction of air is more than three orders of

magnitude smaller than that of glass or quartz, the inclusion a 2 mm thick air chamber is

necessary to delay as much as possible the heat flux between the scanner and the

sample.

The convection of air inside the scanner is the main cause of cold CCD. However,

this effect is slow if CCD sensors fall far away from the scanner window. The special

design of the scanner EPSON GT-12000 makes it particularly interesting for this type of

measurements.22

The scanner behaves like a radiating blackbody at room temperature. According to

the Stefan-Boltzmann's law, in absence of the glass windows, the power radiated by the

scanner is approximately 15 W,2j which cools dramatically the scanner in some

seconds. The two glass windows of the experimental setup avoid the radiation to

escape.24

Table 1 summarizes the characteristics of each layer of transparent material applied

for the thermal isolation of the scanner.

3.5. MEASUREMENT OF THE CONTRACTION PERCENTAGE OF

ALUMINUM

Since the contraction percentage of a solid between two temperatures has no units,

the calibration of the scanner seems to be not necessary in principle. However, to

express the contraction percentage as the ratio of two lengths of arbitrary units, two

conditions must be fulfilled. First, the contraction of the solid must be isotropic. Second,

12

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the sample should not be moved during the cooling process, otherwise the different

scale factors for the horizontal and vertical axes make the measured lengths not

comparable.

Table 1. Characteristics of the four layers utilized for the thermal isolation of the scanner

Layer

Quartz Tray

Glass Window

Air Chamber

Scanner Window

Characteristics

Allows the direct addition of the liquid nitrogen. Very slow

thermal diffusiviry. Walls can be joined with fussed quartz.

Holds the quartz tray.

Reduces thermal conductivity between the scanner and the

tray.

Avoids infrared radiation to escape from the scanner.

Width

3 mm

3 mm

2 mm

2 mm

We carried out the measurements on an aluminum plate of dimensions 180x50x3

mm. To obtain the reference segments, a mesh of horizontal and vertical lines was

plotted with a black flat pen. Figure 4 compares the images taken at room and liquid

nitrogen temperatures. The lengths of the 14 vertical segments were measured with the

program AutoCAD23 (Table 2). The average thermal contraction percentage was

A/- x l 0 0 = 0.39±0.03(lcr), (14)

in good agreement with the tabulated percentage.26

The contraction percentages and the coefficients of linear thermal expansion for

intermediate temperatures were computed from the Griineisen's equations (5a) and

(5b).27 Table 3 shows the discrepancies with the tabulated data.28

13

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Table 2. Measurement of the thermal contraction percentagebetween room and liquid nitrogen temperatures for 14 verticalsegments plotted on an aluminum plate

Segment

1234567891011121314

Length(mm)

(at 293 K)215.968215.997215.096216.150216.255216.169216.294216.170216.173216.283216.334216.318216.285216.311

Length(mm)

(at 77 K)215.113215.263215.279215.280215.290215.380215.398215.302215.457215.469215.474215.573215.455215.543

Contraction Percentage(%)

0.3960.3390.3780.4020.4460.3650.4140.4030.3310.4220.3980.3460.3850.355

Temperature(K)

29320010077

ComputedContractionPercentage

00.1960.3660.390

TabulatedContractionPercentage

00.2030.3710.390

Discrepancy(%)

0-3.4-1.3

0

ComputedCoefficient ofLinearThermalExpansion

(xlO^ÏC1)21.919.912.28.5

TabulatedCoefficient of

LinearThermal

Expansion

23.120.312.28.3

Discrepancy(%)

-5.0-2.00.32.4

14

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(a)Fig. 4. Scanned images of the aluminum plate taken at (a) room, (b) liquid nitrogen temperatures. Thezooms below illustrate how a corner of two intersecting thick lines can be used to define one extreme ofthe segment.

15

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4. REFERENCES

'S. Turner, Superconductivity in Particle Accelerators (CERN Desktop Publishing

Service, Geneva, 1996).2W. A. Plummer, Differential Dilatometry, a Powerful Tool (AIP Conf. Proc. No 17-

Thermal Expansion, American Institute of Physics, NY, 1974) pp. 147-148.

P. S. Gaal, "Some Experimental Aspects of High-Temperature Thermal Expansion

Measurements by Optical Telescopes" High Temp. High Press. 4, 49-57 (1972).4F. A. Jenkins and H. E. White, Fundamentals of Optics (McGraw-Hill, NY, 1957) pp.

637-640.3G. K. White, "Measurement of Thermal Expansion at Low Temperatures" Cryogenics

1, 151-8(1961).6K. Becker, "An X-Ray Method to Determine the Thermal Expansion Coefficient at

High Temperature" Z. Physik 40, 37-41 (1926).7A. Grau Carles, P. Abramian Barco, J. Martin Andrada and L. García-Tabarés, "Device

and Method to Measure Two-Coordinate Samples at Cryogenic Temperatures", Spain

Patent P99000693.8A. Grau Carles, L. García-Tabarés, E. Todesco, D. Tommasini, N. Siegel, "A Method

to Measure Thermal Deformations of Superconducting Magnet Cross Sections" IEEE

Trans. Appl. Super, (in press).9Scanners of at least 600 spi of optical resolution are recommended.10A commercial pyrex tray can be used as well, but the optical quality of the bottom is

frequently not sufficiently good.

"Griineisen's second approximation for the thermal linear expansion coefficient

between 0 K and T commonly appears in the literature as AL/L = UI\Q-bU + cU

By fitting the adequate parameters Q, b, c, the behavior of this function can be very

similar to AL/L = exp(AU)-l, D. C. Wallace, Thermodynamics of Crystals (Dover

Publications, NY, 1972) pp. 59-62.12R. Eisberg and R. Resnick, quantum Physics of Atoms, Molecules, Solids, Nuclei and

Particles (John Wiley and Sons, NY, 1985) p. 391.13L. Van Hove, "The Occurrence of Singularities in the Elastic Frequency Distribution

of a Crystal" Phys. Rev. 89, 1189-1193 (1953).

16

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14T. L. Hill, An Introduction to Statistical Thermodynamics (Dover Publications, NY,

1986). p. 103.l3The typical potential well for a diatomic molecule is the so-called Morse function, L.

Pauling and E. B. Wilson, Jr., Introduction to Quantum Mechanics with Applications to

Chemistry (Dover Publications, NY, 1963) p.262.16The expansion percentage fovf=0 is given in réf.: C. Kittel, Introduction to Solid State

Physics (John Wiley and Sons, NY, 1996) p. 131.17The thermal expansion percentages of a given substance are frequently tabulated as

cubic polynomial functions of temperature.18For an introduction to the fascinating world of scanning and image processing, we

recommend reading the book, D. Blatner, G. Fleishman and S. Roth, Real World

Scanning and Halftones, (Peachpit Press, Berkeley, 1998).19The thermal diffosivity ais defined as k/pcp, where k is the thermal conductivity,

cp the specific heat, and p density. This magnitude measures the capacity of a material

of maintaining heat without transferring it to the surroundings. In a non-stationary

situation, materials of very low thermal diffusivity, such as quartz, transmit heat very

slowly to neighboring objects.20Common glass breaks when the temperature rapidly drops from room temperature to

77 K.21The very low thermal expansion coefficient of quartz allows joining pieces with fused

quartz. However, pyrex breaks, because the thermal expansion is much larger than

quartz.22Differently to the rest of commercially available scanners, CCD sensors of the scanner

EPSON GT-12000 do not move. This is thanks to a second motor, which focuses the

convergent lens according to the location of the lamp/mirror unit.

http://www.epson.com.23The Stefan-Boltzmann's law states that the total power radiated by a surface S at

temperature T is given by R = SoT . For an A3 scanner, 5=0.066 m2, at room

temperature the emerging radiated power is 15 W without glass.24According to the Wien's equation, the wavelength peak for the radiation emitted by a

blackbody at temperature T occurs at /lm[/mi] = 2,890/7 . Therefore, for a blackbody at

room temperature we have Xm = 9.6 um. Since the transmitivity of glass is practically

17

Page 26: A Simple Method to Measure the Thermal Contraction Percentage of ...

zero for wavelengths longer than 3 urn, the scanner window does not allow the infrared

radiation to escape.25To carry out measurements on the taken images we recommend the program

AutoCAD 14.0.26Tabulated data are available by visiting the web site

http://kupono.ita.hawaii.edu/WEB/IRCS/Mat-data.html.27Definite integrals can be computed in a very compact way with the program

Mathematica, S. Wolfram, The Mathematica Book (Wolfram Media/Cambridge

University Press, 1996). The thermal linear expansion coefficient is obtained by

multiplying the coefficient A to equation: N[4(t/395)A3 Integrate[xA3/(Exp[x]-l),{x, 0,

395/t}]-395/t/(Exp[395/t]-l].28Y. S. Toulokian, R. K. Kiry, R. E. Taylor and T. Y. R. Lee, Thermophysical

Properties of Matter. Thermal Expansion (IFI/Plenum, NY, 1975) Vol. 12.

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