Repeatability is of utmost importance as it is directly linked to measurement accuracy and precision of a technique and affects its cost, utility, and commercialization. The present paper contributes to explain enhanced repeatability of the femtosecond laser-induced breakdown spectroscopy (fs-LIBS) technique, remarkably significant for its industrial applications and instrumental size reduction. A fs-laser with 7 mJ pulse energy was focused to create a transient titanium plasma, and a high-resolution spectrometer was used to study time-resolved spectra and single-shot drilling sampling repeatability. Time-resolved spectroscopy study at a delay time interval of 0-1600 ns showed 200-400 ns as the optimum delay time zone for data acquisition with 2-4% line intensity RSDs. Plasma temperature RSDs were <1.8% for the investigated delay interval and reached 0.5% at 200 ns where the temperature recorded a maximum value of 22,000 K. Electron density reached 5.7 × 1017 cm-3 at 200 ns, and RSDs were <3% with the least fluctuation of 0.7%. Shot-to-shot RSDs were 3.5-5% at 15-30 drilling shot intervals for line intensities, <2% for plasma temperature, and <6.5% for electron density. Using an uncertainty propagation formula, total number density RSDs were calculated to be 1.9-5.3% for 50 single-shot drilling scenarios. Considering physics behind results, fs-plasmas are "stable ablation sources" due to their electrostatic formation mechanisms and confined hydrodynamic evolution. The fs-laser opens up new directions for LIBS applications where accuracy is significantly enhanced.
Repeatability is of utmost importance as it is directly linked to measurement accuracy and precision of a technique and affects its cost, utility, and commercialization. The present paper contributes to explain enhanced repeatability of the femtosecond laser-induced breakdown spectroscopy (fs-LIBS) technique, remarkably significant for its industrial applications and instrumental size reduction. A fs-laser with 7 mJ pulse energy was focused to create a transient titanium plasma, and a high-resolution spectrometer was used to study time-resolved spectra and single-shot drilling sampling repeatability. Time-resolved spectroscopy study at a delay time interval of 0-1600 ns showed 200-400 ns as the optimum delay time zone for data acquisition with 2-4% line intensity RSDs. Plasma temperature RSDs were <1.8% for the investigated delay interval and reached 0.5% at 200 ns where the temperature recorded a maximum value of 22,000 K. Electron density reached 5.7 × 1017 cm-3 at 200 ns, and RSDs were <3% with the least fluctuation of 0.7%. Shot-to-shot RSDs were 3.5-5% at 15-30 drilling shot intervals for line intensities, <2% for plasma temperature, and <6.5% for electron density. Using an uncertainty propagation formula, total number density RSDs were calculated to be 1.9-5.3% for 50 single-shot drilling scenarios. Considering physics behind results, fs-plasmas are "stable ablation sources" due to their electrostatic formation mechanisms and confined hydrodynamic evolution. The fs-laser opens up new directions for LIBS applications where accuracy is significantly enhanced.
With developing
chirped-pulse amplification, powerful femtosecond laser systems have
been constructed and introduced into laser-induced breakdown spectroscopy
(LIBS).[1−3] Femtosecond
lasers can improve figures of merit for LIBS analytical performance,[4] including the absence of fractional evaporation,
better depth control and quality ablation crater, reduction in damage,
and better reproducibility. The booming growth of LIBS commercialization
and attention toward high accuracy and precision makes repeatability,
reproducibility, and measurement uncertainty so far of significant
importance. Shot-to-shot repeatability is an important aspect for
a precise quantitative performance of any laser-based technique. Repeatability
is the precision with which a test can be repeated under the same
experimental conditions (shot-to-shot or intrameasurement precision).[5] At different experimental circumstances, reproducibility
determines the precision with which a test can be performed (or intermeasurement
precision).[6] For single-event microanalysis
applications,[7] where femtosecond laser-induced
breakdown spectroscopy (fs-LIBS) competes with other techniques with
a feedback ablation-analysis loop, all the required data is obtained
from only one laser shot. Under such desideratum, reproducibility
is strictly required and hence understanding uncertainty sources inside
fs-plumes.Among different laser parameters that affect the
laser ablation process, pulse duration is the most virtual one due
to substantially contrastive physics of energy deposition in the fs
regime. Femtosecond irradiation has a pulse duration shorter than
both the electron–lattice relaxation time (tel) and the heat conduction time (theat): tp ≪ tel ≈ theat ≈
1–10’s ps.[8] Therefore, fs-laser pulse interacts
only with
the electron subsystem and energy deposition happens via inverse Bremsstrahlung
at the very beginning of irradiation deposition, which does not obey
Fermi–Dirac distribution in the absorption region (∼10
nm in depth).[9] Photoinduced electrons overcome
the potential barrier due to multiphoton absorption as the typical
barrier energy exceeds photon energy at λ = 800 nm for most
materials. Collisions inside the hot electron plasma create a strong
electrostatic field, which pulls out ions from material’s surface
in the Coulomb explosion process. Under identical laser fluencies,
ablation electric field is reported to affect ions regardless their
charges.[10] In addition, fs-laser ablation
is nearly athermal and electron–lattice thermalization process
happens in a picosecond time scale. While pulse width is short enough
for excitation energy to accumulate suddenly in the electron–lattice
system, the whole system reaches thermal equilibrium after energy
relaxation from electrons to lattice.[11,12] This unique
laser–matter interaction seems to imply stable ablation via
energy transfer/deposition, diffusion, and relaxation mechanisms.After the first publication of fs-LIBS by Margetic et al.,[13] several papers were conducted basically comparing
fs and ns plumes. It was found that melting effect is restricted to
a small/negligible layer beyond crater walls and no laser–energy
interaction with plasma when the fs-laser is employed. Despite useful
results, comparison studies were only and partially interpreting fs-physics
to correlate results’ main differences while fixing studied
parameters. This, in our opinion, hindered progressive understanding
of intense-laser field physics tie in to the advantageous analytical
capabilities of fs-LIBS, unalike the fs-micromachining technique for
example. To the best of our knowledge, this is the first letter to
be conducted to discuss fs-LIBS enhanced repeatability and outline
the physics behind it. As for ns-LIPs, several methods for signal
fluctuation reduction have been proposed including optimization of
experimental settings and signal processing.[14] For instance, Popov et al.[15] enhanced
the repeatability of trace element detection in soil samples by optimizing
focusing conditions for a miniaturized chamber. Relative standard
deviations (RSDs) were ∼15% at optimized focusing conditions
of 12 mm into sample’s bulk. Castle et al.[5] discussed accumulation of laser shots to decrease signals’
RSD. Using a copper sample, the RSD was >2% for triplicate measurements
at ∼400 accumulated shots. Hou et al.[16,17] assisted
their experimental setup with a cylindrical cavity, an air flow, and
a spark discharge to enhance the repeatability of C I 193.09 nm measurement
for coal samples. RSDs of line intensities were reduced from 9.6%
using a multicavity ring (different centers and no air flow) to 4.1%
using a single ring (fixed hole-to-laser position and an air flow).
Spark discharge was found to enhance the signals’ intensity,
while it decreased shot-to-shot repeatability due to instability of
the discharge process. Li et al.[18] applied
the PLS algorithm to decrease signal fluctuation of generated Cu plasmas.
Results revealed enhanced RSDs of line intensities from 11.76% to
4.89%. Ni et al.[19] used integral intensities
of plasma images to normalize spectral line intensities for slag samples.
At an ICCD background intensity threshold of 7000, the Ca I 422.67
nm line sustained an RSD of ∼8%.In this letter, our
aim is to spot the light on the physical processes behind signal behavior
based on femtosecond plasma evolution and kinetics and to investigate
the enhanced repeatability[3] introduced
by fs-pulses into the LIBS technique. The temporal spectra variations,
single-shot repeatability, and plasma parameters evolution of fs-Ti-LIP
are discussed. Titanium alloys have been chosen as target materials
owing to two main reasons: (1) Titanium and its alloys stand out with
two principal virtues: (a) high strength/weight ratio and (b) good
corrosion resistance, and therefore employed extensively in aerospace,
micromachining, military, medical, and industrial applications;[20,21] (2) Limited research papers have been published utilizing the fs-LIBS
technique for Ti alloy analysis with no paper conducted about uncertainty
study. Keeping fs-contribution in view, LIBS would eagerly find its
way to applications in which the analytical performance requires inline
operation monitoring to specific laser–matter interactions
that occurs via fs-plasma generation and evolution, e.g., thin film
deposition,[22] quantum dot synthesis,[23] chemical images,[24] standoff environmental sensing,[25] etc.
Results
and Discussion
Time-Resolved Emission of Ti-fs-LIPs
Temporal evolution
of spectral lines reflects the resoluteness of atoms, ions, and molecules
in excited states within the plasma. The objective of this experiment
was to understand the physics behind line evolution and to observe
optimum delay for data acquisition. For performing such a procedure,
delay time has been changed, covering a time range between 0 and 1600
ns at 100 ns steps. The gate width was fixed at 100 ns, which was
sufficient to obtain a rich spectrum from a train-pulse ablation (100
accumulated pulses). The normalized spectra emitted by the plasma
in the spectral window of 250–433 nm at 400 and 1600 ns delays
are shown in Figure . A static analysis of the spectral lines showed a large population
of both neutral and ionic lines. This is in contrast to several research
studies while dominancy of atomic lines was reported.[26−28] Abundant emission of atomic and
ionic lines can be explained by effective atomization (the absence
of fractional vaporization) and effective excitation (high electron
temperature) within the plasma. An intense emission region was observed,
which was shifted to the IR region from UV with increasing delay despite
identical ablation and optical collection conditions. This trend is
consistent with the temporal decay of the plasma where low energy
transitions are persistent at longer delays. It is worth noting that
the overall intensity of the whole spectrum at 1600 ns delay was ∼3
times lower than the intensity at 400 ns delay.
Figure 1
Average
normalized spectra at delays 400 ns (above) and 1600 ns (below). The
inset shows V I 233.449, V II 304.667, Ti II 315.418, and Ti I 390.476
nm lines at 1600 ns delay.
Average
normalized spectra at delays 400 ns (above) and 1600 ns (below). The
inset shows V I 233.449, V II 304.667, Ti II 315.418, and Ti I 390.476
nm lines at 1600 ns delay.The absence
of fractional vaporization was confirmed as the employed system delivers
a power density of 0.2 × 1017 W cm–2 upon focusing, referring to a laser fluence of >20 J cm–2, which is far higher than threshold ablation fluences for elements
in the sample matrix.[29] Further, a train
pulse irradiation is reported to decrease the ablation threshold fluence
due to an incubation phenomenon according to[30]where FTh(1) is the single-pulse threshold fluence
and ξ is the incubation parameter. This decrease is attributed
to the formation of laser-induced states where energy deposition increases
(material fatigue) and creation of laser-induced defects where surface
modifications (surface ripples[31] and nanocracking)
upon applying pulses increase as well. Meanwhile, surface reflectivity
was observed to significantly decline after the first few pulses in
a train ablation.[32] Surface and crater
patterning was observed using surface profilometry for a train pulse
of 100 accumulated pulses. The crater diameter was ∼250 μm,
and its depth was ∼25 μm with the presence of ripple
structure inside it, captured by a scanning electron microscope, as
shown in Figure .
In spite of the fact that threshold fluence reduction favors effective
ionization, the changeable energy dissipation seems to cause fluctuated
ablation within the burst. It is worth noting that fs-pulses in a
train are temporally separated from each other by ∼1 ms (repetition
rate is 1 kHz) and a separate ablation process is acquired with each
interaction. Previous studies revealed that accumulated pulses within
a fs-train showed less matrix dependency with increasing laser repetition
rate.[33] Therefore, accumulation of repeated
signals within the pulse train accounted for increased ablation uncertainties
and, moreover, obtained less matrix-dependent and high-intensity signals
(better signal-to-noise ratio).
Figure 2
Surface profilometer
image of the Ti sample
after pulse-train ablation of 100 shots. The crater diameter was ∼250
μm, and its depth was ∼25 μm. Surface ripples and
nanocracking were captured by scanning electron microscopy.
Surface profilometer
image of the Ti sample
after pulse-train ablation of 100 shots. The crater diameter was ∼250
μm, and its depth was ∼25 μm. Surface ripples and
nanocracking were captured by scanning electron microscopy.Raw spectra were analyzed and
among 900 defined lines; 54 were selected as well-resolved, non-resonant,
and free of spectral interference. Spectral lines were identified
from the NIST database.[34]Figure depicts the temporal evolution
of normalized intensities and corresponding RSDs of four lines (V
I 233.449, V II 304.667, Ti II 315.418, and Ti I 390.476 nm) from
the Ti alloy sample (TC4-1, 89.63% Ti, 5.65% V). The integrated intensities
of 20 surface shots, each refers to 100 accumulated fs pulses at 1
kHz, were normalized to the maximum of each line in order to compare
the evolution distribution of different emitters on the same scale.
All lines were processed by calculating the peak area after background
subtraction. Different atomic and ionic lines marked a slightly different
optimum delay time for each species in the plasma matrix and followed
one of the three evolution behaviors. As shown in Figure a, intensities increase within
the delay interval of 0–200 ns followed by maximum intensities
in the 200–400 ns delay interval and a decay afterward. Line
intensities peaked and decayed differently depending on the evolved
line. The atomic line V I 233.449 nm showed the highest normalized
intensity at 200 ns followed by a fast decay. This line corresponds
to a high energy transition (ΔE = 42,823 cm–1), which requires high plasma temperature formed at
the early stages of evolution. Both ionic lines V II 304.667 nm and
Ti II 315.418 nm showed highest intensities at 300 and 400 ns, respectively,
and moderate decay for longer delays. Ionic line decay behavior is
attributed to energetic electron–ion recombination. The neutral
line Ti I 390.476 nm (ΔE = 25,602 cm–1) showed both gradual increase in the time interval of 0–400
ns and gradual decrease afterward, maintaining a persistent lifetime
of >1 μs.
Figure 3
Time evolution
of (a) normalized intensities of V I 233.449, V II 304.667, Ti II
315.418, and Ti I 390.476 nm lines through a delay interval of 0–1600
ns shows three different temporal evolutions; (b) corresponding RSDs
for 20 measurements.
Time evolution
of (a) normalized intensities of V I 233.449, V II 304.667, Ti II
315.418, and Ti I 390.476 nm lines through a delay interval of 0–1600
ns shows three different temporal evolutions; (b) corresponding RSDs
for 20 measurements.The fs-plasma evolves and decays much faster
than ps/ns-plasmas.[35,36] For 500 ns, after the laser strikes
the material, ns-plasma kinetic energy is mainly spent in compressing
the surrounding air and forming a shock wave. At this stage, the ns-spectrum
is dominated by continuum radiation with no information to be collected
precisely. This 500 ns time regime seems long enough for the fs-plasma
to evolve with comb-shaped spectral lines over a low continuum all
at the first 200–400 ns. Commonly, in ns-LIBS, delaying data
acquisition with respect to laser firing to avoid the overwhelming
continuum radiation and to suppress spectral interference due to line
broadening costs ∼1–1.5 μs at optimized experimental
configurations. Results reported for a ps-train showed that 700 ns
was consumed by continuum emission to reduce to a background emission
level.[36] While ps/ns-plasmas’ absorptivity
diminishes markedly to change the opacity from optically thick into
transparent thin media, the fs-plasma lacks any kind of “plasma
shielding” or “laser trail-plasma interaction”,[37] which dominantly makes its evolution a confined
and stable event. Extra morphological fluctuations caused by ns-post-ablation
interactions were reported as a significant source for chaotic plasma
generation and opacity. Signal uncertainty is basically assigned to
this first-formed laser-plume event at delays of 500–800 ns[38] and to the total number density fluctuation
in consequence. At fs-pulse trail, extensively hot electron gas and
undistributed lattice are ready for interaction. Adiabatic expansion
seems to happen after the fs-laser strikes the sample due to Coulomb
explosion and confined dynamical behavior dominates the kinetics.
The ablated material explodes in so-called “cool ablation”
and the number of ions created in the first stage of ablation can
only decrease with recombination. Fs-uncertainty emanates basically
from energy–material coupling, which causes changes in ablated
mass and haywire electrostatic collisions within the plume, which
are discussed hereinafter.Signals’ repeatability, i.e.,
RSDs, takes an inverse of that for normalized intensities in a general
sense (see Figure b). RSDs first slightly decreased within 100 ns and then fluctuate
as the plasma continued to evolve in the time interval of 200–400
ns with 2–4% fluctuation. RSDs of fs-evolution provide evidence
of high repeatability compared to ns/ps-plasma plumes at early stages
(data are only processed with background subtraction). The V I 233.449
nm line had the lowest fluctuation over the time interval of 200–400
ns relative to all other lines, while its RSD increased drastically
after 400 ns to reach ∼15% for a 1600 ns delay time. This is
consistent with its fast evolution and short lifetime. Both V II 304.667
nm and Ti II 315.418 nm lines had slightly increasing and fluctuating
character
with RSDs in the range of 2–4% (and not more than 5% for some
delay measurements). The Ti I 390.476 nm showed steady RSD values
∼2% for most investigated delays. It is worth mentioning that
RSDs of line intensities at 200 ns showed unexplained one-trend fluctuation
(∼3 times higher) and this should be related to local changes
of the sample properties like physical defect, dust, or human errors.
To maintain idea fluency, these results have not been plotted. From
an analytical point of view, there existed an optimal temporal window
for detection, within which high signal intensities and low RSDs are
recorded. Based on results, the optimum delay time zone is 200–400
ns, and so, 400 ns was chosen for a single-shot repeatability study
experiment to encounter high uncertainty of short-lived lines, observe
repeatability of stable lines, and ensure the absence of continuum
contribution.
Time-Resolved Plasma
Parameters
Plasma parameters are well-suited signature of
its physics. Spectral line characteristics (intensities, resolution,
widths, and repeatability) are related to the matter chemical structure,
plasma properties, and precision of the analytical information. Figure a,b shows the temporal
evolution of plasma temperature and electron density and corresponding
RSDs at the same studied delay interval (0–1600 ns). The gate
width for each acquisition is 100 ns, and the delay step increase
is 100 ns. Excitation temperature was calculated using integral line
intensities with the Boltzmann plot method, assuming plume species
are in LTE (local thermodynamic equilibrium) as[39]where λ, I, g, A, E, kB, and C are the emission wavelength, integral intensity of emission line,
degeneracy of upper-level energy, transition probability, upper-level
energy, Boltzmann constant, and constant, respectively. Plasma temperature
was obtained using the slope of the fitted line. Non-resonant V II
lines were selected to deduce the temperature. Spectral line parameters
were extracted from the NIST database[34] and are listed in Table .
Figure 4
Time evolution of (a)
plasma temperature; (b)
electron density and corresponding RSDs for 20 measurements (gate
width = 100 ns).
Table 1
List of
V Lines for Plasma Temperature Calculation and Corresponding Spectroscopic
Parameters
λ/nm
Ek/eV
Ei/eV
Aki/s–1
gk
gi
253.46
6.29
1.40
3.5 × 10+07
3
1
255.58
6.52
1.67
3.9 × 10+07
3
5
257.09
9.47
4.65
9.0 × 10+07
5
7
281.02
6.69
2.28
1.5 × 10+08
7
7
301.71
5.81
1.70
1.29 × 10+08
5
7
396.83
4.52
1.40
6.5 × 10+06
3
1
Time evolution of (a)
plasma temperature; (b)
electron density and corresponding RSDs for 20 measurements (gate
width = 100 ns).The electron density was determined by using the FWHM
of spectral lines according to Stark broadening:[40]where ω is the
electron impact parameter[41] and ΔλStark is the FWHM of the Stark
broadened profile. Lines’ profiles are affected by different
broadening mechanisms. Stark broadening and instrumental broadening
are accounted for in laser-induced plasmas, considering that contribution
of other broadening mechanisms is ignorable. The Ti II transition
at 302.97 nm was used for electron density measurement and was fitted
using a Voigt profile, which considers Stark broadening by Lorentzian
and instrumental broadening by a Gaussian profile. Stark broadening
was deconvoluted after inserting instrumental broadening (measured
to be 22 pm using a mercury lamp) as follows:[42]As depicted in Figure , at a 200 ns delay time, both plasma temperature
and electron density reached their maximum followed by fast decay.
Similar decay trends for both temperature and electron density were
observed except that temperature showed a slightly faster decay. The
highest plasma temperature recorded 22,000 K at 200 ns. This is consistent
with line intensities peaked at the same delay, corresponding to high-energy
transitions. Temperature varied from 22,000 to 14,000 K, which is
higher than ionization energies for elements in the sample matrix
confirming effective atomization and ionization within the plasma.
Even at longer delays with strong spectral presence (plasma cooling),
the temperature maintained values >10,000 K, which supported the
claim of energy, heat, and pressure confinement in fs-plumes due to
its evolution hydrodynamics.[3] Plasma temperature
RSDs were <1.8% for the studied delays, indicating quite stable
plasma heat content repeated in 20 different ablations for all delays.
The least RSD was observed at 200 ns with 0.5%. Plasma temperature
RSDs gradually increased after 600 ns. Plasma cooling is described
to be a chaotic process with the production of aerosols formed by
agglomerates of small blackbody-like nanoparticles with low kinetic
energy. This cooling process is reported to occur after 500 ns of
fs-laser firing in vacuum via radiative cooling of electronically
excited atomic and ionic species through collisions.[43] Elastic and inelastic collisions happen inside high-density
plasmas formed by tightly focused fs-lasers where electrons, ions,
and atoms presumably collide via recombination, ionization, ion-charge
interchange (disproportionation), and radiation relaxation (and/or
trapping) reactions as follows:[10]where S refers to atomic/ionic species. These reactions, mainly with
unknown rate constants, yield an overall decrease in electron density.
Head-on collisions between atoms at small distances from the sample
surface could produce collisional-induced excitation (and even ionization)
of one or both colliding particles. If an atom with mass M is traveling with kinetic energy E and collides with a stationary atom of mass M, then the maximum fraction of energy transferred
into the internal energy of either colliding species is[44]which gives f ≈ 63.4%
for Ti–Al collisions and f ≈ 46.2%
for Ti–Fe collisions. Nonetheless, unpredictability of such
inelastic collisions makes these energy fractions a considered source
of plasma temperature fluctuations. In fs-ablation, electrons play
a vital role in peak power/energy deposition mechanism and plume evolution
via photon–electron interaction, electron–lattice interaction,
and plasma evolution dynamics. Upon laser firing, a highly excited
electron cloud is formed on the sample surface where electronic temperature
is stabilized by electron–electron scattering and non-thermalized
electrons undergo ballistic transport as well. Heat diffusion from
electrons to lattice occurs via electron–phonon coupling, and
a two-temperature model[45] is used to describe
the energy balance process as follows:[9]where C and C are electron and lattice heat capacities, T and T are electron
and lattice temperatures, k is the electron
thermal conductivity, G is the energy
coupling factor, and Slaser(x, t) is a source term. In particular, despite the
fact that lattice temperature evolution seems to depend on energy
coupling and electron–lattice temperature difference, electron
temperature distribution shows electron–electron and electron–phonon
collisions and scattering dependency as well. As a consequence, energy
coupling factor is not a constant value and not solely a function
of electron temperature. Instead, a complex function incorporating
electron and phonon distribution in the reaction plume is continually
modeled to fully understand plume dynamics after electron thermalization.[46] Although heat diffusion between the electron
cloud and lattice occurs in a 10s
ps time scale, simulations of plasma dynamics showed that kinetic
processes suggest changes of electronic temperature and density on
time scale of a few hundred picoseconds.[47] In Figure , our
spectroscopic approach showed that the electron density increased
from 5.4 × 1017 to 5.7 × 1017 cm–3 in 200 ns. Fine time-resolved spectroscopy study
in a 0–200 ns delay time interval can be useful to observe
electronic dynamics and emission uncertainties within. Electron density
RSDs were <4% and hit the least fluctuation at 800 ns with 0.7%.
Considering that the 600 ns delay is a plasma cooling stage, electron
density maintained RSDs >1% through its dynamical evolution. In
view of the foregoing, however, in fs-laser power deposition, hot
energetic electrons cause specific ablation of ejecta, non-equilibrium
electron distribution, and unpredicted elastic and inelastic collisions
inside each formed plume cause uncertainties in electron density.
Shot-to-Shot Repeatability
Repeatability
is the most significant with single-shot LIBS applications.[48] A variety of factors affect shot-to-shot repeatability,
on top of the list are laser energy coupling with sample and stability
of plasma parameters (source noise[14]).
Variations in the ablated mass per laser shot are the main contributor
to signal fluctuations indeed. Surface heterogeneity, texture, and
roughness affect the laser energy coupling contributing to change
in ablated mass per laser shot. In the current experiment, surface
smoothness was carefully accounted for to minimize surface alterations
effect prior to the experiment. To estimate single-shot repeatability,
line intensities of the selected 54 lines were plotted as a function
of the shot number. Scan matrices consisted of 50 positions ×
50 drilling shots, i.e., a total of 2500 shots. The experiment was
conducted using a 400 ns delay time and 1000 ns gate width.Figure represents
intensity and RSDs variation obtained from V I 337.753 nm and Ti II
333.520 nm lines as a function of laser drilling shot number. Overall,
intensity slightly decreases for the first five shots and then gradually
increases from 5th shot up to 25th shot. For more drilling, intensity
forms a plateau, which tends to decrease with shots more than 35.
The studied atomic and ionic lines showed different intensity values
with drilling. The atomic line intensity increased up to 15th shot
then formed a plateau between 15 and 30 shot number and then distinctly
decreased afterward. Shot-to-shot RSDs were least at 10–30
drilling shots and increased fast with more drilling. Meanwhile, for
the ionic line, intensity plateau started at 25th shot and line intensities
tended to decrease after 35th shot. Shot-to-shot RSDs were least at
18–32 drilling shots and increased gradually with more drilling.
This is explained with surface morphological alterations with drilling.
For initial few shots (∼5 as results depicted), the sample
surface incubates cracks, ripples, and laser-induced periodic melt,[49] which decreased laser energy deposition (and
consequently line intensity, plasma temperature, and electron density).
With further drilling, confined plasma formed in a cavity maintained
a higher temperature and favors ionic line population. Therefore,
RSDs on both sides of the “least fluctuated interval”
had an opposite behavior for the atomic and ionic lines; for the atomic
line, RSDs were higher after the stable drilling zone, while for the
ionic line, RSDs were higher before. Shot-to-shot RSDs are 3.5–5%
at 15–30 drilling shot intervals. One might consider that optical
collection system efficiency should add fluctuations due to the formation
of plasma on a level lower than the optimum field of view with drilling.
Results are consistent with a previous study in comparison between
single-shot and raster ablation modes of fs-LIBS;[27] an increase-plateau-decrease behavior was observed for
the single-shot drilling mode relative to constant intensity for the
raster one (100 shots for both modes). The single-shot plateau was
observed after 10 laser shots, and signal fluctuation increased dramatically
after 35 laser shots. Generally, pulse-to-pulse RSDs for raw data
using ns-lasers on metal samples record >10%[50] as the total ablated mass inevitably fluctuates with dominant
thermal ablation mechanisms.[5] It is worth
noting that RSDs in the case of 100 shot drilling mode were lower
compared to single-shot analysis mode owing to n1/2 dependence[5] of RSDs on the number
of accumulations, despite the overall uncertainty increase by pulse-train
as described in the previous section. The trade-offs between stable
average ablated mass per shot and plasma confinement mechanism are
important to optimize fs-reproducibility.
Figure 5
Intensity variation with single-shot drilling
number and
corresponding RSDs (50 measurements) for (a) the atomic line V I 337.753
nm and (b) the ionic line Ti II 333.520 nm (b); delay time = 400 ns
and gate width 1000 ns.
Intensity variation with single-shot drilling
number and
corresponding RSDs (50 measurements) for (a) the atomic line V I 337.753
nm and (b) the ionic line Ti II 333.520 nm (b); delay time = 400 ns
and gate width 1000 ns.
Single-Shot Plasma Parameters
Repeatability
Pulse-to-pulse
variations can be understood by the following plasma parameters. Plasma
temperature variations affect plasma species dynamics and degree of
ionization and yield changeable emission intensities due to redistribution
of species energy levels. Electron density variations reflect alterations
in plasma dynamics. For quantification purposes, plasma parameters
can be dependent on to
compensate for total number density uncertainties via modeling. Herein,
plasma temperature and electron density were calculated to study plasma
physics variations with drilling up to 50 shots (delay time was 400
ns and gate width was 1000 ns).Figure shows that, initially, plasma temperature
decreased, attributed to dissipated heat for crater formation. The
subsequent semilinear increase up to 30th shot is ascribed to plasma
confinement followed by a plateau, which may be the result of a trade-off
between plasma confinement and energy deposition efficiency inside
the crater. Electron density showed a decrease–increase trend
up to 30th drilling shot similar to plasma temperature behavior. The
decrease in the electron density afterward indicates a decrease in
ablation efficiency and an increase in recombination processes. RSDs
were <2% (except at 36 and 45 shots) for plasma temperature and
<6.5% for electron densities. Besides plasma dynamics uncertainties,
calculating plasma temperature carried onboard mathematical errors
of spectroscopic parameters. Transition probability, for instance,
was reported to exhibit standard deviations of 5–50%.[51] Yet, errors in line fitting and electron impact
parameter added errors to electron density RSDs. The evolving trends
of both plasma temperature and electron density as well as corresponding
RSDs confirmed line intensity evolution and stability depicted in Figure at the 10–30
drilling zone.
Figure 6
Shot-to-shot variations
in (a) plasma temperature
and (b) electron density and corresponding RSDs (50 measurements);
delay time = 400 ns and gate width 1000 ns.
Shot-to-shot variations
in (a) plasma temperature
and (b) electron density and corresponding RSDs (50 measurements);
delay time = 400 ns and gate width 1000 ns.Based on the Saha–Langmuir equation,[52] line intensities are affected by plasma temperature T, electron density N, and total number density N, while
the latter is proportional to the total ablated mass. Uncertainties
of the three physical parameters contribute, differently though, to
spectral line fluctuations. To get an estimate for ablated mass fluctuations
for the single-shot drilling strategy, a mathematical uncertainty
propagation formula[53] can be used to compute
propagated error in a function of several variables aswhere
δI is the total uncertainty in a spectrally
detected line intensity. Utilizing Ti II transition at 302.97 nm,
uncertainties in the total number density was sorted out to be in
the range of 1.9–5.3% for a single-shot ablation scenario.
Nevertheless, in a few number of shots, electron density uncertainty
term (∂I/∂N)2(δN)2 exceeded
the overall line intensity RSD, making the estimation of the total
number density uncertainty to be negative values. Shot-to-shot repeatability
experiment was conducted at a 400 ns delay time. Thus, evaluation
of relative contributions of T, N, and N to the
total intensity uncertainty at different delay times in parallel with
investigating 0–200 ns delay time plasma dynamics via time-resolved
spectroscopy should provide a guideline for enhanced fs-LIBS (single
shot) data acquisition. Considering the previous discussion, fs-plasmas
are fundamentally “stable ablation sources” due to their
electrostatic formation mechanisms and energy confinement via fast
evolution dynamics. Self-suppressed plasma parameters fluctuations
open up new directions for fs-LIBS applications where repeatability
is significantly enhanced.
Conclusions
Time-resolved
spectra and shot-to-shot reproducibility were studied
to underlie the fs-physics behind signal stability and to investigate
uncertainty sources. Self-induced fs-LIBS repeatability is attributed
to the (1) relatively stable nature of plasma evolution due to electrostatic
ablation, i.e., Coulomb explosion; (2) stable average ablated mass
per shot, which is dramatically related to the less heat affected
zone, and hence, no splashing nature of the ablated material; and
(3) high repetition rate operation of the fs-laser, which allows accumulation
of repeated signals within a burst and improves reproducibility by n1/2. The fast evolution of fs-plasma and the
absence of laser–plume and plume–plume interactions
bring new aspects of improving repeatability and data acquisition.
With such stable plasma evolution and low continuum radiation, emission
spectra can be recorded in non-gated modes using portable spectrometers.
Enhanced single-shot repeatability of fs-LIBS promotes the technique
accuracy needed to consider it a truly quantitative technique. Uncertainty
sources are outlined as follows: (1) energy coupling fluctuations
due to the thermal response of the irradiated electronic system. Electron–phonon
collisions and scattering are, in a realistic picture, fluctuated
intermediates to couple laser energy into the lattice; (2) elastic
and inelastic collisions inside the plasma, which changes plasma density
due to electron–ion recombination and undesired excitation
and/or ionization; (3) threshold fluence fluctuations due to an incubation
phenomenon; and (4) surface structure alterations due to the formation
of cracks, ripples, and laser-induced periodic melt with multiple
pulse ablation, both provoke changes in plasma parameters and hence
ablated mass per shot. Based on previous long-term research to enhance
ns-spectral data repeatability and with underlying physics behind
fs-plume uncertainty, fs-LIBS can outdo accuracy and precision limitations
of the technique. More investigations on fs-plume evolution physics
and its corresponding analytical performance and advantages are required
as short ways-out
to shed light into new aspects in instrumentation (size, complexity,
and cost of systems) and applications (especially industrial). This
approach permits an extension into conditions not covered by experiments,
underlying more background understanding, and contributes for developing
a precise quantitative analytical model.
Experimental Section
Instrumental
The femtosecond laser system used is a one-box ultrafast Ti:Sapphire
amplifier (Solstice Ace, Spectra Physics, USA) with 125 × 68
× 29 cm dimensions (see Figure ). The laser system employs adjustment-free EternAlign
optical mounts to maximize long-term stability and operation (energy
stability of <0.5% rms over 24 h operation) and is capable of producing
fs-pulses with an energy of 7 mJ and a pulse width of 45 fs at a 1
kHz repetition rate. The amplified laser pulses are centered at 800
nm with linear polarization. An intensity auto-correlator and a power
meter periodically monitor the pulse width and energy drifts in order
to ensure a stable energy flux at the target. The output laser beam
is a TEM00 Gaussian beam profile with a beam quality M2 of <1.25 and a diameter of ∼10 mm.
The laser system includes two power supplies and chillers for seed
(Mai Tai) and pump (Empower) lasers. The laser system was operated
in a gated mode and fired by sending a command using external port
of a delay generator (DG645, Stanford Research Systems, USA), which
is used to synchronize both the laser and spectrometer. The laser
beam was first reflected by three 730–820 nm ultrafast mirrors
and then focused onto the sample surface by a plano-convex lens (fused
silica, f = 100 mm, d = 25 mm, and
4.79 mm central thickness). The mirrors and focusing lens have graphed
a group delay dispersion of ∼0 and 36 fs2 for wavelengths
centered at 800 nm, respectively. Two plano-convex lenses (fused silica, f = 50 mm, and d = 25 mm) were used to
collect the plasma emission light and focus it into an optical fiber
at a 45° adjustment angle. The fiber guides the light to an Echelle
spectrometer (Aryelle Butterfly, LTB, Germany). The spectrometer consists
of two channels: 192–433 and 425–750 nm, which can be
used alternatively with a spectral resolution of 13–31 pm.
An intensified charge-coupled device (ICCD, Andor, 1024 × 1024
pixels) was used to detect the dispersed spectrum, and Sophi software
was used to store data to a computer. All experiments were performed
in an ambient environment (lab. temperature of ∼21–23
°C and humidity <20%). For each experimental set, the spectrograph
was wavelength calibrated using a mercury lamp (DH-3plus, Ocean Tec,
USA).
Figure 7
Experimental
setup scheme
(not to scale). TCU: temperature control unit; TDG: timing and delay
generator; RM: ultrafast 730–820 nm reflecting mirrors; L1: focusing lens (f = 100 mm); L2 and L3: focusing lenses (f = 50 mm).
Photograph courtesy of Sahar Sheta. Copyright 2020.
Experimental
setup scheme
(not to scale). TCU: temperature control unit; TDG: timing and delay
generator; RM: ultrafast 730–820 nm reflecting mirrors; L1: focusing lens (f = 100 mm); L2 and L3: focusing lenses (f = 50 mm).
Photograph courtesy of Sahar Sheta. Copyright 2020.
Considerations about Fs-Laser
Pulses
Several aspects have to be considered before firing
fs-LIPs, including (1) Temporal structure of the fs-laser output peak
intensity. Pre- and post-pulses are formed by Fresnel reflections
in optical elements inside the regenerative amplifier cavity and greatly
affect the laser–matter interaction. Particularly considered
are pre-pulses that can create a plasma before the main pulse arrival,[54] “shielding” its energy deposition
into the sample.
Careful reduction of pre-pulses incorporates an extra-cavity Pockels
cell to make pulse selection and a combination of intracavity Pockels
cell and a passive 1/4 waveplate to yield a contrast ratio of >1000:1
for output peak intensity to any pre-pulse that occurs >1 ns before
the main output one; (2) Plasma-ignition threshold fluence (PlFTh). Although fs-ablation is proved to reduce the dependency
on thermal properties of pure or alloyed samples and turned more correlation
to work function,[55] calculation of PlFTh is required to ensure the absence of fractional
evaporation especially for single-shot analysis scenarios; (3) Broadening
of fs-pulse by an optical system. Ultrashort pulses with a Gaussian
transform-limited propagation experience a duration lengthening after
passing through a dispersive medium. The pulse broadening implies
a reduction of the pulse peak intensity while keeping the measured
pulse energy the same. The pulse content is critical for fs-LIBS as
plasma kinetics is mainly controlled by power density dissipation
mechanisms. Although these mechanisms are not still fully understood,
it is of no doubt that marking group velocity dispersion (GVD) of
the utilized optical system is a necessity. The output pulse width
can be determined as follows:[4,56]where τ0 is the pulse width before passing the optical system and l is the length of the dispersive medium. In the present
setup, the initial 45 fs pulse experienced broadening to 46.24 fs
before hitting the sample (small enough not to seriously alter the
laser–matter interaction).
Sample Preparation
A standard titanium alloy sample TC4-1
was used in this study with composition 3.90 wt % Al, 5.65 wt % V,
0.39 wt % Fe, 0.277 wt % Si, and 0.158 wt % C. The sample was in a
disk shape with stock dimensions 35 mm D × 36 mm H. The sample
was mounted on a manually controlled 3D translation stage. Before
each experiment, the sample was carefully polished by sandpapers (500,
800, 1200, and 2000 grit) to diminish surface impurities and was cleaned
by ethyl alcohol to ensure surface cleanness. Experiments were done
by moving the sample to a fresh spot to avoid striking on the formed
ablation zone. Surface topologies were studied using white-light interferometry
(Zygo-NexView, Ametek, USA) and focused ion beam scanning electron
microscopy (Lyra 3, TESCAN, Czech Republic) for ablation craters.