Some
Practical Uses of X-rays
Abstract
For
determining crystal structures and for the general identification of materials,
X-ray diffraction is a very useful tool. Using the X-ray equipment involves
some very high intensity X-rays and very accurate recording equipment. At the
end of the experiment the computer produces a diffraction pattern, along with
values for the intensity, d spacing and 2θ. Using this information we can
identify the material by comparing to past data on many thousands of materials.
For powdered samples, there are many diffracted rays so the diffraction
patterns can be easily read, and using Bragg’s law, the crystal structure can
be identified. With solid samples, there are fewer rays that can be diffracted
so the diffraction pattern is harder to read.
Introduction
X-rays are
fundamentally part of the electromagnetic spectrum and can be generated one of
two ways. The first and more dangerous way is by being emitted by radioactive
materials. This is a danger to the users as it cannot be turned off. The second
and much safer way is by being produced by the use of electricity.
Electrical
X-ray production occurs by focusing a beam of high velocity electrons with a
series of slits onto the surface of a copper target within an X-ray tube.
Within an atom there are three different electron shells, k, l, and m. These
shells have specific energy levels and are stable when they have the correct
amount of energy and electrons in them.[1] To create an X-ray, an
electron is fired at the atom and knocks an electron straight out of the ‘k’
shell, taking the fired electron with it. This creates an excited atom that can
only stay in this state for a very short amount of time. The solution to this
excited state is to move an electron from the ‘l’ shell down into the ‘k’ shell
to lose some energy. In moving down to the ‘k’ shell the atom gives off energy
in the form of an X-ray photon. This radiation given off in the form of an
electron moving from the ‘l’ shell to the ‘k’ shell is known as Kα radiation,
which is excellent for taking readings as it has a short wavelength and lower
energy. There is another type of radiation that can be created by the movement
of electrons through the shells, and that is Kβ radiation. This is when the
electron moves from the ‘m’ shell to the ‘k’ shell. This has a bigger energy
gap and a larger wavelength with higher energy, and only occurs roughly once in
every seven X-ray exposures. To combat this, a nickel filter was used. This is
to not only to combat the Kβ rays to produce a monochromatic graph, but also
the white noise. When the X-ray slows down it emits what is referred to as
white noise radiation, along with other surrounding factors such as background
radiation, this creates a lot of unwanted graphical data. X-ray diffraction is a very inefficient
process. Only 1% of the power it takes for the whole process goes towards
creating the X-rays, the remaining percentage gets used for other processes
such as heat production and various other applications.
Diffraction itself is a phenomenon
which occurs when a wave hits a series of barriers with a regular spacing that
can interfere with the waves’ wavelength. This interference can either be
constructive or destructive depending on how the waves line up when they are
reflected out of the material. In order for the interferences to become
constructive, the waves have to enter a material, and exit it in phase. This
creates a larger amplitude wave as the two waves’ amplitudes are added together
thus creating a wave that is easily detected. Destructive interference occurs
when the wavelength of the X-ray wave is larger than that of the inter-planar
spacing within the material. This creates a wave that is not in phase and in
essence, cancels itself out. This is very hard to detect, and is usually
ignored. This is especially important
when talking about X-rays, as the wavelength for Kα rays are very small, and
not coincidentally, they are roughly the same size as the atomic spacing within
materials. The rules of whether the interference is going to be constructive or
destructive all comes down to whether the conditions satisfy the Bragg
equation: nλ = 2d sinθ, where n is the order of diffraction, d is the
interplanar spacing, θ is the Bragg angle and λ is the wavelength of the X-ray.
When all the variables are put into this equation and it is now satisfied the
interference becomes constructive. If the Bragg equation is not satisfied,
there will be destructive interference and the outcome will be a low intensity
diffracted beam. [2]
Experimental
Using an
X-ray Diffractometer set up at 40mA and 40kV, and with the use of a Nickel
filter to knock out some of the white noise and the Kβ radiation, three samples
were exposed to X-rays for roughly half an hour. Out of the three samples involved,
two were in a powder form and another was in a solid metallic sheet. It was
know that one of the powdered samples is the same material as the solid sample,
but it is not known which one this is. Once the process was completed, the
computer displayed the details of the intensity, d spacing and 2θ for each of
the samples.
Results
A theorem
from a previous student stated that if the sin2θ value for the set
of results was divided by the first value of sin2θ, it would yield a
number that is in correlation with the list of h,k,l planes and their relevant
number patterns. This sequence was always there, but sometimes it was necessary
to multiply by a factor to find this illusive pattern. This, when referenced
against the Miller indices h, k, and l, and their relevant set of numbers ascertaining
which structure they are can determine the crystal structure of the material.
Sample A – White Powder
|
2θ |
d
spacing |
Counts |
sin2
θ |
sin2
θ /0.10869 |
S
Value |
|
38.500 |
2.33641 |
1853 |
0.10869 |
1.00000 |
3 |
|
44.748 |
2.02364 |
820 |
0.14489 |
1.33305 |
4 |
|
65.144 |
1.43082 |
587 |
0.28983 |
2.66657 |
8 |
|
78.302 |
1.22005 |
420 |
0.39862 |
3.66749 |
11 |
|
82.500 |
1.16828 |
131 |
0.43470 |
3.99944 |
12 |
|
99.148 |
1.01190 |
76 |
0.57949 |
5.33158 |
16 |
|
112.100 |
0.92860 |
156 |
0.68811 |
6.33094 |
19 |
|
116.650 |
0.90513 |
128 |
0.72426 |
6.66353 |
20 |
|
137.550 |
0.82635 |
148 |
0.86890 |
7.99457 |
24 |
Sample D – Black Powder
|
2θ |
d
spacing |
Counts |
sin2
θ |
sin2
θ /0.11897 |
S
Value |
|
40.353 |
2.23331 |
2887 |
0.11897 |
1.00000 |
2 |
|
58.350 |
1.58017 |
362 |
0.23763 |
1.99739 |
4 |
|
71.249 |
1.29121 |
617 |
0.35589 |
2.99142 |
6 |
|
87.050 |
1.11854 |
167 |
0.47426 |
3.98638 |
8 |
|
100.700 |
1.00045 |
233 |
0.59283 |
4.98302 |
10 |
|
115.004 |
0.91332 |
58 |
0.71134 |
5.97915 |
12 |
|
131.271 |
0.84561 |
288 |
0.82980 |
6.97486 |
14 |
Sample F – Solid Metallic Sample
|
2θ |
d
spacing |
Counts |
sin2
θ |
sin2
θ /0.28987 |
S
Value |
|
65.149 |
1.43074 |
2599 |
0.28987 |
1.00000 |
8 |
|
78.250 |
1.22073 |
526 |
0.39817 |
1.37361 |
11 |
|
137.550 |
0.82635 |
132 |
0.86893 |
2.99767 |
24 |
Discussion
The
samples tested all have a set of Miller Indices, which when referenced against
a table of Miller indices that represent the different structures, we can find
the specific materials’ crystal structure. Upon construction of this list, it
was found that for the integers 7, 15, 23 and 28 there were no Miller indices
to be found. This is due to the face that there are no reflections at these
integers. Taking into account these numbers allows you to think about how the
other structures such as simple cubic and face centred cubic’s structure is set
out when corresponding to the Miller indices. A simple cubic structure will
have all apart from the 4 impossible reflections, whereas a BCC structure will
not reflect where h+k+l is odd, and BCC lattices must have h,k and l all odd or
all even.
Looking at
the first sample, the white powder, it was necessary to multiply the findings
for the proposed Miller indices by three in order to create the S Number which
lined up in conjunction with the actual Miller indices. The pattern emerged
that the S Number we found worked perfectly with the Face Centred Cubic
structure.
The second
sample we tested, the black powder, gave us a set of S numbers that when
doubled, linked up directly with the set of numbers from the Miller indices for
a Body Centred Cubic structure. This, coupled with the fact that the numbers
were never odd, confirmed our thoughts. It is not necessary to look at the
structure of the solid sample as it is known to be the same material as one of
the powdered samples. One can easily find the crystal structures of the
powdered materials through the use of the Miller Indices, but to identify the
material itself the JCPDS Powder Diffraction file must be used to reference the
various statistics that were recorded against the examples in the book. The
statistics used to find the correct material were d spacings, relative
intensities and 2θ. Using this file and referencing the samples that were
tested it was found that the first sample, the white powder, was Aluminium, and
the second, darker powder, was Tungsten.
Looking at the solid metallic sample,
it is clear that we cannot use the file for our identification, with only three
reflections to compare in the file there are hundreds upon hundreds of
different materials that have those same three reflections. A point to notice
when looking at the number of reflections the materials have is that the
different cubic structures have different amount of slip systems, and therefore
will have differing amounts of slip planes for the X-rays to be reflected from.
The FCC structure has 12 slip planes for the X-rays to reflect off of, the FCC
structure has only 8, which is why it has fewer reflection results. To identify
the solid sample it is necessary to then look at the values for intensity, and
comparing them to the other powdered samples to see which one was closest. Upon
seeing the comparison the solid sheet correlated strongest to Aluminium.
X-ray
diffraction works so well with powders due to the fact that in a powder there
are thousands of particles which are all mixed up together, and therefore have
slip planes that are facing every angle. This means that there is a much higher
probability that the X-ray is going to reflect off of them as there is more
chance that they are facing the direction of the approaching X-ray.
In the solid metallic sample, you can see from
the graph that the third peak is really the only one that can be identified. This
is because the 1st and 2nd peaks are slip planes within the Aluminium that during the forming
and rolling process, have been deformed and elongated so that they are
ultimately no longer along the same plane as the third peak. The third peak we
are seeing in the graph as the larger black peak is the 2,2,0 plane that lines
up with the X-ray beam and allows the X-ray to be diffracted and reflected
back.
Conclusion
§ Powdered
samples give much better diffraction patterns due to the random orientation of
the planes in the particles allowing a larger portion of the material to give
off a diffraction pattern.
§ X-ray
diffraction is a conclusive way of identifying materials effectively
§ The
white powder and solid sample were Aluminium
§ The
black powder was Tungsten.
References
[1] http://www.physics.upenn.edu/~heiney/talks/hires/hires.html
[2] ‘Introduction to Engineering Materials’ 4th
Edition. Palgrave Macmillan, Gosport p60-70, 79-81
[3] ‘X-ray Diffraction’ B E Warren