Journal of Occupational and Environmental Hygiene, 3: 194–203
ISSN: 1545-9624 print / 1545-9632 online
DOI: 10.1080/15459620600584352
Design, Construction, and Characterization of a Novel
Robotic Welding Fume Generator and Inhalation Exposure
System for Laboratory Animals
James M. Antonini, Aliakbar A. Afshari, Sam Stone, Bean Chen,
Diane Schwegler-Berry, W. Gary Fletcher, W. Travis Goldsmith, Kurt H.
Vandestouwe, Walter McKinney, Vincent Castranova, and David G. Frazer
Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown,
West Virginia
Respiratory effects observed in welders have included lung
function changes, metal fume fever, bronchitis, and a possible increase in the incidence of lung cancer. Many questions
remain unanswered regarding the causality and possible underlying mechanisms associated with the potential toxic effects
of welding fume inhalation. The objective of the present study
was to construct a completely automated, computer-controlled
welding fume generation and inhalation exposure system to
simulate real workplace exposures. The system comprised a
programmable six-axis robotic welding arm, a water-cooled
arc welding torch, and a wire feeder that supplied the wire to
the torch at a programmed rate. For the initial studies, gas metal
arc welding was performed using a stainless steel electrode.
A flexible trunk was attached to the robotic arm of the welder
and was used to collect and transport fume from the vicinity
of the arc to the animal exposure chamber. Undiluted fume
concentrations consistently ranged from 90–150 mg/m3 in the
animal chamber during welding. Temperature and humidity
remained constant in the chamber during the welding operation. The welding particles were composed of (from highest to
lowest concentration) iron, chromium, manganese, and nickel
as measured by inductively coupled plasma atomic emission
spectroscopy. Size distribution analysis indicated the mass median aerodynamic diameter of the generated particles to be approximately 0.24 µm with a geometric standard deviation (σg )
of 1.39. As determined by transmission and scanning electron
microscopy, the generated aerosols were mostly arranged as
chain-like agglomerates of primary particles. Characterization
of the laboratory-generated welding aerosol has indicated that
particle morphology, size, and chemical composition are comparable to stainless steel welding fume generated in other studies. With the development of this novel system, it will be possible
to establish an animal model using controlled welding exposures from automated gas metal arc and flux-cored arc welding
processes to investigate how welding fumes affect health.
Keywords
inhalation exposure, robotic welder, welding fume
Address correspondence to: James M. Antonini, Health Effects
Laboratory Division, National Institute for Occupational Safety and
Health, 1095 Willowdale Road, M/S 2015, Morgantown, WV 26505;
e-mail: jga6@cdc.gov.
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E
lectric arc welding joins metals and alloys that have
been made soft or liquid by extreme heat as electricity passes from one electrical conductor to
another.(1) Welding processes generate a complex
mixture of aerosol and gaseous byproducts. The generated
fumes are composed of an array of metals (e.g., iron, manganese, chromium, nickel) volatilized from the welding electrode or the flux material incorporated within the electrode.(2)
Gases (e.g., ozone, carbon monoxide) can originate during
welding operations due to the use of shielding gases in gas
metal arc welding (GMAW), the composition of fluxes in
shielded manual metal arc welding (SMAW) or flux-cored arc
welding (FCAW), and chemical reactions and ultraviolet irradiation of atmospheric elements and contaminants by the arc.(3)
Over the last 30 years, numerous studies have investigated
the health effects of welding fume inhalation.(4) Because
welders are not a homogenous group, the potential adverse
effects of welding fume exposure are oftentimes difficult to
evaluate. Differences exist in welder populations, such as industrial settings, the type of welding processes and materials
used, ventilation, and other occupational exposures besides
welding fumes (e.g., solvents, asbestos, silica). Reviews of
epidemiology studies have indicated that many welders have
experienced some form of pulmonary illness.(5–8) Respiratory
effects have included transient lung function changes, metal
fume fever, bronchitis, an increased susceptibility to infection, and a possible increase in the incidence of lung cancer.
Even less information is available about the nonrespiratory
effects (e.g., neurological, dermatological, reproductive) of
welding fume exposure. Recent studies indicate that welding
fume exposure may lead to neurological disorders.(9,10) Thus,
many questions remain unanswered regarding the causality and
possible underlying mechanisms associated with the potential
toxic effects of welding fume inhalation.
The use of animal models and the ability to control the
welding fume exposure in toxicology studies would be helpful
Journal of Occupational and Environmental Hygiene
April 2006
in developing a better understanding of how welding fumes
affect health. Because of the diversity of the welding process
and the need to continually generate welding fumes at a reasonably constant concentration over extended periods, very few
welding fume inhalation exposure systems have been developed. Early studies have developed welding fume inhalation
systems for rats, but experienced welders were required to operate the system(11,12) and the exposures were for only limited
periods of time, such as 2–3 hours(11) or 6 hours.(12) In addition,
exceedingly high concentrations (400 mg/m3 , 580 mg/m3 , and
1178 mg/m3 ) have been used.(11)
An important drawback to most of the previous systems was
that as the welding electrodes were consumed and the base
metals piece (the surface where the welding occurs) quickly
become covered with the newly formed weld, the base metal
piece had to be continually changed and replaced every several
minutes by laboratory technicians, disrupting the exposure
period. Thus, the generation of constant welding fume for
extended periods of time at reasonable fume concentrations
has proven to be very difficult and has required numerous
technicians to operate the fume generation system.
It was our objective to construct an automated fume generation and inhalation exposure system that would simulate real
workplace exposures and would allow for continuous welding
for extended periods of time without interruption. An automated system is needed that would use a computer-controlled,
robotic welder that would weld and replace materials as they
are consumed during the operation. System operation, reproducibility of the exposure, study of dose-response relationships, and comparison of toxicity of different types of welding fumes would be easier with such a system. This article
describes the development of a novel robotic welding fume
generator and inhalation exposure system and the physical and
chemical characterization of the generated fume.
MATERIALS AND METHODS
Description of Welding System and Process
The welding fume generation system comprised a welding
power source (Power Wave 455; Lincoln Electric, Cleveland,
Ohio), an automated, programmable six-axis robotic arm
(model 100 Bi; Lincoln Electric), a water-cooled arc welding
torch (WC 650 amp; Lincoln Electric), a wire feeder that
supplied the wire to the torch at a programmed rate up to 300
inches/min, and a automatic welding torch cleaner to keep the
welding nozzle free of debris and spatter. For the initial fume
characterization studies, gas metal arc welding was performed
using a stainless steel electrode (Blue Max E308LSi wire;
Lincoln Electric). Welding was performed on A36 carbon steel
plates for varying periods of time depending on the analysis at
25 V and 200 amps. During welding, a shielding gas combination of 95% argon and 5% CO2 (Airgas Co., Morgantown,
W.Va.) was continually delivered to the welding nozzle at an
air flow rate of 20 L/min and over the arc to protect the formed
weld from weakening caused by oxidation.
Design and Construction of Welding Fume
Generation System
A diagram of the robotic welding fume generation system is depicted in Figure 1. The system can be divided into
four different areas: (1) enclosed control room (Figure 1A);
(2) robotic welding fume generator (Figure 1A); (3) animal
exposure chamber (Figure 1B); and (4) fume characterization
equipment (Figure 1B). The enclosed control room is used for
programming and monitoring the operation and performance
of the welding system. The room contains the welding power
source for the robotic welder and holds the cylinder of shielding
gas that is used during the GMAW process. The shielding
gas is delivered to the robotic welder with a hose. The room
is separated from the robotic welding system by an airtight
divider made of aluminum with ultraviolet-protective glass
doors that filter UV light from the welding system to protect
the investigators in the control room. The welding process is
continuously monitored from this room visually through the
glass doors.
During the welding operation in previously designed welding fume exposure systems, the surface of the base metal
piece where the welding occurred quickly became covered with
the newly formed weld and needed to be replaced.(11−14) To
avoid disruption of exposure to welding fume in a toxicology
study, a headstock was designed for the current welding system
that holds and rotates a base metal plate holder in different
programmed positions (Figure 2). The base metal plate holder
has four sides and holds three metal plates per side on which
the welding takes place.
Because welding arc temperatures can exceed 4000◦ C, it
was necessary to devise a system to minimize the excessive
amount of heat generated during the process in order to perform
long-term exposures. A computer-controlled water circulation
unit was designed by National Institute for Occupational Safety
and Health (NIOSH) engineers and included within the base
metal holder to reduce the temperature at the base metal surfaces where the welding takes place (Figure 2). Excessive
heat production at the surface could possibly lead to warping
or disfiguration of the base metal pieces that, in turn, could
disrupt the arc and result in altered morphology and size of
the generated welding particles. Also, to maintain exposures
over long periods of time, a programmable torch cleaner was
added to the system to automatically and periodically clean the
welding gun so that it remained free from debris and spatter to
allow the automatic wire feeder to function properly without
interruption during the welding process.
Exposure Chamber Fume and Gas Determinations
A flexible trunk has been positioned approximately 18
inches from the arc to collect the generated fume and transport
it the exposure chamber. The generated welding fume was
mixed with dry air that was HEPA-filtered and scrubbed with
charcoal. Continuous records of chamber fume concentration,
temperature, and humidity were maintained during welding
fume generation. The generated aerosol was collected onto
37-mm Teflon filters at a rate of 1 L/min, and the particle mass
Journal of Occupational and Environmental Hygiene
April 2006
195
FIGURE 1. Diagram of the welding fume generation system including: (A) enclosed control room that contains the welding power source and
controller [1] and robotic welding fume generator that contains the six-axis robotic arm, wire feeder, torch cleaner, coolers, and base metal
holder [2]; (B) animal exposure chamber [3] and fume and gas characterization devices [4]
delivered to the exposure chamber was determined gravimetrically. In addition, particle samples were periodically collected
gravimetrically onto filters for scanning electron microscopy
(SEM) and grids for transmission electron microscopy (TEM)
to assess particle size distribution, particle morphology, and
elemental composition. Gas samples were withdrawn from
the exposure chamber through Teflon tubing with a protective particulate filter in the line during the period of welding,
and ozone (ozone analyzer model #450; Advanced Pollution
Instrumentation, Inc., San Diego) and carbon monoxide (1312
Photo-acoustic Multi-Gas Monitor; Innova Air Tech Instruments, Ballerup, Denmark) were measured.
To maintain welding fume concentrations during animal
exposures, fume was collected through an aerosol delivery
line above the welding system at a flow rate of 5 L/min drawn
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from an in-line peristaltic pump. Downstream from the pump,
a mass-flow controller was installed as an air dilution system. Dilution airflow rate was adjusted by a solenoid valve
regulated using a feedback signal to provide a desired mass
concentration in the exposure chamber. The mass concentration in the chamber was monitored in real time by a realtime aerosol monitor (model DR-2000, DataRAM; MIE, Inc.
Bedford, Mass.), and the obtained mean electrical signal was
compared with a precalibrated signal according to the desired
concentration. Based on the difference between the two signals, a signal was fed back to regulate the solenoid valve and
adjust a dilution airflow to the desired concentration in the
exposure chamber. Depending on the desired concentration,
the diluent air in this system was normally controlled between
20 and 80 L/min.
Journal of Occupational and Environmental Hygiene
April 2006
FIGURE 2. Schematic diagram of the base metal holder and
heat exchanger. A programmable headstock was designed that
holds and rotates the base metal plate holder in a desired position.
The unit holds three steel base metal plates on each of four sides
(12 base metal pieces total) on which the welding occurs. Cold
water that is circulated through the base metal holder controls the
temperature of the base metal plates during extended periods of
welding.
Welding Particle Morphology and Characterization
Inductively Coupled Plasma Atomic
Emission Spectroscopy
Stainless steel welding particles were collected onto 5.0 µm
polyvinyl chloride membrane filters in 37-mm cassettes during
5–30 min of welding. The particle samples were digested and
the metals analyzed by inductively coupled plasma-atomic
emission spectroscopy (ICP-AES) according to NIOSH
method 7300 modified for microwave digestion.(15) Briefly,
the filters were digested in a microwave in the presence of
nitric acid. After digestion, the samples were allowed to cool,
transferred to 50-mL flasks, and then diluted with H2 O. The
samples were analyzed using a Fisons Accuris inductively
coupled plasma emission spectrometer (Fisons Instruments,
Beverly, Mass.). Metal content of blank filters were analyzed.
A trace amount of iron was measured to be above the limit
of quantification (LOQ) in the blank filter and was subtracted
from the iron measurements of the collected samples.
MSP Corp., Shoreview, Minn.) that is intended for general
purpose aerosol sampling, and a Nano-MOUDI (MSP model
115) that is specifically designed for sampling aerosols in the
in the size range down to 0.010 µm. By combining the two
MOUDI impactors, it was possible to collect particles in the
size range from 0.010 µm to 18 µm that were separated into
15 fractions. Besides the special feature of using microorifice
nozzles to extend the cut sizes of the lower stages down to
0.010 µm, the MOUDI consists of rotating stages to obtain a
nearly uniform particle deposit on the impaction plates, which
can avoid particle bounce and is useful for subsequent analysis.
RESULTS
Characterization of Generated Welding Fume
The robotic welder (in combination with the programmable
headstock) can be programmed for continuous welding at a
rate of 30 cm/min for up to 8 hours/day. Undiluted fume
concentrations consistently ranged from 90–150 mg/m3 in the
animal exposure chamber during welding. Proposed fume concentrations (1.0–40 mg/m3 ) to be used for animal exposure
experiments can be easily attained with air dilution. In a preliminary experiment, welding was performed for 3 hours/day for 3
consecutive days at a desired fume concentration of 40 mg/m3
(Figure 3). Fume concentrations were determined every 30 min
during 3 hours of operation for each day and were observed
to be near the desired chamber concentration. Mean chamber
fume concentration and standard deviation for the 3-day period
were 38.4 ± 6.7 mg/m3 .
Temperature and humidity remained constant in the chamber during the 3 hours of welding over the 3-day period
Scanning Electron Microscopy
Welding fume samples were collected onto 47-mm Nuclepore polycarbonate filters (Whatman, Clinton, Pa.). The
filters were cut into four equal sections; two sections were
mounted onto aluminum stubs with silver paste. The deposited
welding particles were viewed using a JEOL 6400 scanning
electron microscope (JEOL, Inc., Toyko) and also analyzed
using energy dispersive X-ray analysis (SEM-EDS; Princeton
Gamma-Tech, Rocky Hill, N.J.) at 20 keV.
Transmission Electron Microscopy
Welding fume samples were collected at 30-min intervals
during 3 hours of welding directly onto bar-coated TEM grids
and viewed using a JEOL 1220 transmission electron
microscope.
Particle Size Distribution
Particle size distribution was determined by using a MicroOrifice Uniform Deposit Impactor (MOUDI, MSP model 110;
FIGURE 3. Day-to-day variation in exposure chamber fume concentrations after welding for 3 hours/day for 3 days. Desired fume
concentration was intended to be maintained at 40 mg/m3 . Mean
chamber fume concentration and standard deviation for the 3-day
period were 38.4 ± 6.7 mg/m3 . Fume was collected through an
aerosol delivery line above the welding system at a flow rate of
5 L/min, and dilution airflow rate was maintained at 80 L/min.
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April 2006
197
TABLE I. Metal Composition of Generated Stainless
Steel Welding Fume
Metals Analyzed
µg/Sample
Weight% of Metals A
Iron (Fe)
Chromium (Cr)
Manganese (Mn)
Nickel (Ni)
Copper (Cu)
1207.0 ± 323.3
427.5 ± 138.2
295.0 ± 96.8
185.0 ± 47.9
3.3 ± 0.9
57.0 ± 2.6
20.2 ± 3.0
13.8 ± 0.9
8.8 ± 0.4
0.2 ± 0.0
Note: Values are means ± standard deviation; n = 4 welding collection periods
of 30 min.
A Relative to all metals analyzed. Trace amounts of silicon, aluminum, and
vanadium also were present.
FIGURE 4. Day-to-day variations in exposure chamber temperature after welding for 3 hours/day for 3 days. Mean temperature
and standard deviation for the 3-day period were 20.9 ± 1.4◦ C.
(Figures 4 and 5). Mean temperature and percent relative humidity and standard deviations for the 3-day period were
20.9 ± 1.4◦ C and 37.7 ± 2.7%, respectively. Ozone and carbon
monoxide concentrations also were measured in the chamber
during the welding process (data not shown). Low amounts of
ozone (0.041 ± 0.019 ppm) were formed in the chamber during
the 3-day period. Ozone levels generated during welding were
not significantly higher than background levels (∼ 0.025 ppm)
and were lower than the NIOSH recommended exposure limit
(REL) and OSHA permissible exposure limit (PEL) of
0.1 ppm.(16) Carbon monoxide levels also were not significantly higher than background levels and were lower than the
NIOSH REL (35 ppm) and OSHA PEL (50 ppm).(16)
FIGURE 5. Day-to-day variations in exposure chamber relative
humidity after welding for 3 hours/day for 3 days. Mean relative humidity and standard deviation for the 3-day period were
37.7 ± 2.7%.
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The generated welding aerosols from the robotic welder
were characterized to ensure that they were similar to the
fume examined in other studies. To quantify the amount of
each metal present, ICP-AES was performed after collecting
bulk particle samples onto filters during 30 min of welding
(Table I). Nearly all of the materials in the fume generated
during GMAW were derived from the stainless steel electrode
that is consumed during the process. The welding particles
were composed of (in descending order of amount present)
iron, chromium, manganese, nickel, and copper. Trace amounts
of silicon, aluminum, and vanadium also were present. Particle
collection for different periods of time (5–30 min) and on
different days had no effect on the bulk metal profile of the
fume (data not shown).
Because of the significant number of nanosized particles
generated during welding, particle size distribution was determined using a combination of MOUDI and Nano-MOUDI
samplers (Figure 6). It was observed in these initial characterization studies using the MOUDI systems that the size
distribution of the aerosol generated by the robotic welder may
be tri-modal (Figure 6). The most significant mass of particles
was in the fine size range with cutoff diameters of 0.10–1.0 µm.
Additional ultrafine particles in the range of 0.010–0.10 µm
as well as larger, coarse particles with diameters from 1.0–
10 µm in size also were observed. Initial calculations indicate
the mass median aerodynamic diameter to be approximately
0.24 µm with a geometric standard deviation (σg ) of 1.39
when considering only the fine size range (0.10–1.0 µm).
The mass fraction of the three modes varied slightly from day
to day during welding. The primary mode (0.10–1.0 µm)
contained 85–95% of the total mass collected, whereas the
other two modes contained less than 5–10% each. Depending
on operating conditions of welding and fume generation, the
large particle mode likely varied with respect to the amount
of spatter produced. The small particle mode may have been
affected by conditions such as the amount of diluting air and
relative humidity in the aerosol delivery line.
TEM and SEM images of stainless steel welding fume
aggregates are shown in Figures 7 and 8, respectively. Most
of the aerosols generated during GMAW were arranged in
homogeneous, chain-like agglomerates of primary particles
Journal of Occupational and Environmental Hygiene
April 2006
FIGURE 6. Particle size distribution of stainless steel gas metal arc welding fume comparing mass concentration versus particle size as
measured using the MOUDI and Nano-MOUDI impactor systems.
(Figures 7 and 8A). Larger, more spherical particles, referred to
as microspatter, were sometimes observed among the agglomerates (Figure 8B). It is possible to use SEM-EDS analysis
to determine the elemental distribution of different welding
particles. Elemental mapping can be performed on particles
collected from different stages of the MOUDI impactor system.
For example, metal distribution of different particles that had
aerodynamic diameters between 1.8 and 3.2 µm was determined (Figure 9). The metals were observed to be complexed
together but distributed heterogeneously when comparing different particles. The metal distribution of particles 1 and 2 were
very similar with iron and chromium being the most significant
elements (Figure 9B, C), whereas manganese, in addition to
iron and chromium, was the most significant element present
in particle 3 (Figure 9D).
DISCUSSION
L
ong-term toxicology studies of welding fume are limited
in number. Most welding fume toxicology studies have
been short term and have used the technique of intratracheal
instillation to administer the particles to animals.(17–21) There
are several limitations when using the intratracheal instillation
method for welding fume toxicology studies. For this procedure, welding fume is collected onto filters, suspended in an
aqueous medium, and delivered directly into the lungs of animals. From the time of particle collection and animal treatment,
the biological reactivity of the collected fume may be attenuated due to the aging of the particles. Our group has shown that
freshly formed welding fume had a concentration-dependent
increase in surface free radicals and induced more lung inflammation and injury compared to aged welding fume.(22)
Also, exposure to gases (e.g., ozone, carbon monoxide) formed
during welding that may affect respiratory health is absent
when using intratracheal instillation. Another concern of the
instillation method is that much higher concentrations of the
particles are usually administered compared with the particle
concentrations that may be inhaled by workers over time. This
may overload the lungs with particles and overwhelm normal
lung clearance mechanisms.(23) The associated lung toxicity
may then be a result of particle overload and not the inherent
chemical or physical property of the particle.
A completely automated system is needed that would perform welding operations and replace materials as they are
consumed during the process. Yu et al.(13,14) developed a semiautomated welding fume generation system for exposing laboratory animals to SMAW processes. A circular stainless steel
base metal disk powered by an electric motor was slowly
rotated, while a second pulley system advanced a welding rod
toward the metal disk until an arc was formed. Welding fumes
were generated as the disk rotated and the welding rod slowly
advanced. The procedure was repeated continually at 5-min
duty cycles to process each rod; 3 min to move it forward and
be consumed to generate fumes, and 2 min for the holder to be
Journal of Occupational and Environmental Hygiene
April 2006
199
FIGURE 7. Representative transmission electron micrographs of stainless steel gas metal arc welding fume. (A) Note the many primary
particles that are in the nanosize range (<0.10 µm) that form the chain-like agglomerates; bar is equal to 0.20 µm. (B) Lower magnification of an
aggregation of chain-like agglomerates. Note the variation in size of the primary particles that form the agglomerates; bar is equal to 0.50 µm.
FIGURE 8. Representative scanning electron micrographs of stainless steel gas metal arc welding fume. (A) Note the aggregation of chain-like
agglomerates. (B) Larger, more spherical particles (center of the image) were sometimes observed among the agglomerates. Bar is equal to
1 µm.
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Journal of Occupational and Environmental Hygiene
April 2006
FIGURE 9. SEM micrographs of three different stainless steel
welding particles (1, 2, 3) collected on one stage of the MOUDI
impactor system; SEM-EDS analysis of particles 1 (B), 2 (C), and
3 (D). Elemental mapping of particles indicated that the metals
were complexed together but distributed heterogeneously among
the different particles.
returned and another welding rod installed. Thus, the exposure
was continually disrupted every few minutes to replace the
used materials (e.g., consumed welding rods). The system
developed by Yu et al.(13,14) may be appropriate for SMAW
processes where the changing of the electrodes would closely
simulate real work place practices. However, this system would
not be appropriate in the study of more automated GMAW and
FCAW processes.
Saito et al.(24) designed an entirely automated robotic welding fume and inhalation exposure system. Animals were
exposed for 2.5 hours to welding fume concentrations that varied from 34.2–64.5 mg/m3 depending on the welding current.
The welding robot delivered the fume in eight repeated cycles
that consisted of welding for 6 min with a pause for 9 min. A
transient increase in breathing frequency with a concomitant
decrease in tidal volume were observed within several minutes
immediately after the start of the welding operation. Unfortunately, no long-term exposures were performed. In addition,
the system did not allow for the replacement of the materials
that were consumed during the process.
It was the goal of the current study to design and construct
a welding fume generation and inhalation exposure system
that would perform long-term exposures without disrupting
the welding process. The welding fume generation system
constructed for the study utilizes an automated, programmable
six-axis robotic arm and a wire feeder that automatically supplies the wire to the torch at a programmed rate. The system
constructed by our group will closely mimic more automated
welding processes, such as GMAW and FCAW. Welding exposures can be maintained for up to 8 hours. During the welding
operation, the surface on which the welding takes place becomes covered with the newly formed weld and needs to be
replaced. To avoid disruption of the welding fume exposure,
a headstock was designed that holds and rotates a base metal
plate holder in different programmed positions. The base metal
plate holder has four sides and holds three metal plates per side
where the welding occurs. As one base metal plate becomes
covered with the newly formed weld, the robotic welding arm
can be programmed to move to the next base metal piece. By
having 12 base metal pieces that can be programmed to rotate
in any position, a sufficient amount of surface area is provided
to maintain the welding process for an extended period of time.
The chemical composition of the generated stainless steel
welding fume was determined by different analytical methods,
ICP-AES and SEM-EDS. Nearly all of the materials in the
particulate phase generated during GMAW were derived from
the stainless steel electrode that was consumed during the
process. Both methods indicated that the particulate was composed of mostly iron and chromium with significant amounts
of manganese and nickel present. Small amounts of copper,
silicon, and vanadium also were measured in the samples.
Other characterization studies have observed similar elemental profiles for stainless steel welding fume generated during
GMAW.(19,22,25–27)
The specific metals in stainless steel welding fumes that are
of toxicological importance include chromium and nickel, two
known carcinogens, and manganese, a neurotoxic agent. The
toxicological outcome of welding fume inhalation exposure
is dependent on the bioavailability of the metals present in
the particles. It has been observed that stainless steel welding
fumes produced during GMAW are relatively insoluble as
opposed to particles which are generated during SMAW and
Journal of Occupational and Environmental Hygiene
April 2006
201
FCAW processes that use fluxing agents.(26,28) Stainless steel
GMAW particles have been observed to persist in the lungs for
long periods of time in a mostly unchanged state.(29−31) X-ray
diffraction studies have indicated that iron and chromium in
stainless steel GMAW fumes are mostly present in trivalent
(3+ ) oxidation states, possibly existing as NiFe2 O4 , (Fe, Mn,
Ni) Cr2 O4 , and Cr2 O3 .(28,32) Manganese and nickel appear to
exist in mixed forms of divalent (2+ ) and trivalent (3+ ) oxidation states, mostly as Mn3 O4 and NiO, respectively. Significant
amounts of the biological reactive, carcinogenic species, hexavalent chromium (Cr6+ ), have been measured in stainless steel
fumes generated during SMAW and FCAW.(28,32) Furthermore,
a study has indicated that measurable amounts of Cr6+ are
formed during stainless steel GMAW and the concentration of
Cr6+ is dependent on the composition of the shielding gases
used.(33)
It has been observed that the type of process and the materials used during welding may have an effect on the morphology of the generated welding fume. Aerosols generated
during GMAW have been shown to be quite different morphologically compared with particles formed during FCAW and
SMAW.(2,27) The aerosols generated during GMAW tend to be
smaller and are primarily arranged in homogeneous chain-like
agglomerates, whereas the aerosols generated during FCAW
and SMAW are larger, more chemically complex and contain a mixture of chain-like and spherical structures. TEM
and SEM analysis of the aerosols generated with the robotic
welder using a GMAW process in the current study depicted
numerous aggregations of chain-like agglomerates that were
very similar in appearance to what has been observed by other
investigators.(2,27)
Aerosol formation during GMAW appears to first include
nucleation, a process by which high temperature metal vapors
are transformed into primary particles.(34) Nucleation is then
followed by coagulation, a dynamic aerosol growth mechanism that occurs when small particles collide to form larger
agglomerates. The agglomerates are formed after particleparticle, particle-agglomerate, and agglomerate-agglomerate
collisions. After these collisions, the agglomerate are likely
held together by van der Waals and other attractive interactions,
such as electrostatic and magnetic forces.(34) The strength of
these forces are of importance toxicologically because the individual primary particles are in the ultrafine size range (0.01–
0.10 µm). If these attractive forces were to be disrupted by
interactions with lungs cells and biological fluids after inhalation, the primary particles could possibly dissociate from the
larger agglomerates. Studies have indicated that the adverse
effects of particles in the lungs may be due in part to particle
size.(35−37) It has been suggested that the pulmonary toxicity
observed after exposure to ultrafine or nanosized particles may
be a consequence of an increase in surface area.
Numerous studies have measured the particle size of formed
welding fumes. The selection of the welding process and materials used has an impact on the particle size of the aerosol.
In the breathing zone of a welder, the particles are in the
form of agglomerates. Therefore, it is the aerodynamic size
202
of the agglomerates, not the size of the single primary particles that form the agglomerates, that determine the sites of
pulmonary deposition after welding fume inhalation. Because
of the significant number of nanosized particles generated
during welding, particle size distribution was determined using
a Nano-Moudi impactor. The mass median aerodynamic diameter of the agglomerates generated by the robotic welder was
0.24 µm, giving them a high probability of being deposited in
the alveolar regions of the lungs. The particle size results of
the current study are comparable to what has been observed
by others. Zimmer and Biswas(2) observed GMAW-mild steel
welding fume generated in the laboratory to have count median
diameters of 0.149 µm. Mass median aerodynamic diameter
for laboratory-generated stainless steel GMAW particles was
measured to be 0.25 µm in an earlier study by Hewett.(38)
In summary, a completely automated, robotic welding fume
generation and inhalation exposure system was designed and
constructed. The system is capable of continuously generating a consistent concentration of welding fume for extended
periods of time using GMAW and FCAW processes. Characterization of the generated welding aerosol has indicated
that particle morphology, size, and chemical composition are
comparable to welding fume studied by other investigators.
With the development of this novel system, long-term animal
toxicology studies would be technically less challenging and,
therefore, more easily performed.
ACKNOWLEDGEMENTS
T
he authors gratefully thank the National Toxicology Program, which provided additional funding to support the
project.
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