Arc welding operations are considered to be risky procedures by generating hazardous welding fume for human health. This study focuses on the key characteristics, as well as dispersion models, of welding fumes within a work zone. Commercial and widely used types of electrodes with various types of covering (rutile, basic, acidic and rutile-cellulose) were used in a series of experiments on arc welding operations, under 100 and 150 amps of electric current. According to the results of this study, maximum levels of pollution with particles of PM10 fraction occur in the workspace during arc welding operations. Disregarding the types of electrodes used, the 3D models of dispersion of the РМ10 particles at the floor plane exhibit corrugated morphologies while also demonstrate high concentrations of the РМ10 particles at distances 0–3 m and 4–5 m from the emission source. The morphology of these particles is represented by solid and hollow spheres, ‘nucleus-shell’ structures, perforated spheres, sharp-edged plates, agglomerates of the tree-like (coral) shape. At last the bifractional mechanism of fume particle formation for this type of electrodes is also shown and described. In this article results are reported, which demonstrate the hazards of the arc welding process for human health. The results of the characterization of WFs reported improve our understanding of risks that these operations pose to human health and may strengthen the need for their control and mitigation.
Intense heat typical in welding operations is responsible for high levels of fume concentrations in industrial areas. Fume is comprised of airborne metal or metal oxide particles that have condensed from vapor. In its turn, vapors are generated by the intense high-temperature burning and volatilization of metal, flux and alloying elements1. During these processes, 1–3% of electrode mass turns into vapors, and the elemental composition of welding fume (WF) is generally determined by the elemental composition of the electrode and the material being welded2. Based on the fact that particle sedimentation of WFs does not occur instantly, differences in this process for nano- and micro-particles explain their prolonged suspension state3. Low speed sedimentation of fine particles of WFs (≤0.08 m/s) causes their even dispersion within the workspace, which imposes regulations to ensure the health and safety of such workers4. Moreover, these particles are easily affected by the airflow and may spread far beyond the working area2, and also absorbed by the welder’s body5. The main components of the WFs are oxides of iron, manganese and silicon (~41, 18 and 6%, respectively), as well as chrome6,7. Infiltration of toxic compounds of WFs in a human organism through the respiratory tract is linked to dangerous health effects in welders. The biological hazard of WFs due to oxidation of components are well known5.
The modernization of safety measures, in turn, is impossible to achieve without detailed information about the formation of the WF (in particular, the fine PM10 particle fraction), their morphology and elemental composition, as well as the model of dispersion within the space of the working zone8,9. Smaller sizes of WF within the nano-size range (<0.1 µm) exhibit greater risks for human health. Previous studies have demonstrated the ability of nanoparticles to translocate even into the central nervous system (CNS)10,11,12.
According to the literature, the characteristics of WF depend on the type of the electrode covering2,13,14,15. In addition, other studies have demonstrated that the particle sizes and dispersion of WF are dependent on the combination of other parameters, such as welding conditions, methods of welding, as well as methods of analysis3,7,14,15,16,17. According to the majority of studies, with variable chemical composition of particles, primary particle size of WF range from 10 to 200 nm, and the size of their agglomerates varies from 100 nm to several µm3,6,7,14,15,17,18,19. In addition, it has been reported that the main focus of the study of particle dispersion of WF should be related to the workers’ actual breathing zone9,20,21,22. The possible geometries (3D models) of size distribution of WF have not been reported previously. Today there is no common point of view of the correlation between the welding parameters, such as amperage and levels of WFs; some authors do record reduction of vapor levels when the amperage is increased13. According to other sources, the amperage applied to the welding arc is proportional to the temperature of molten metal, which influences the intensity of their vaporization and the formation of vapors (and consequently, fumes)3.
This study focuses on the key characteristics, as well as dispersion models, of WFs within a work zone, using the example of arc welding with commercial electrodes with various types of covering. Such studies are essential for an initial health-risks evaluation of electrode toxicity for the purposes of minimization of welding vapors (fumes) levels.
Materials and Methods
Sampling methods for the WF within the space of the working zone
All experiments took place in the Welding Department, School of Engineering, Far Eastern Federal University. The experiments were conducted in an isolated room with 60 m2 floor space (7.5 m × 8 m), without natural or mechanical ventilation.
Before the initiation of the welding process, plastic (PVC) containers with 2.7 liters of deionized water were placed at the floor line and along the height, as described further down. They were placed at the floor line at the 0.0 mark in three directions (↓S, ← W, → E) and in increments of 1 m from the welding skid (its center is assumed to be the coordinates center (Fig. 1) and along the height ↑H — in increments of 0.5 m from the tabletop of the welding skid (H = 0.8 m from the floor line). During the welding experiments, air samples were collected from 20 different points of the laboratory space (5 for each direction) (Fig. 1). This type of evaluation method has been applied previously23,24.
During the experimental procedure, 4 types of popular welding electrodes with different types of covering were used, under amperage of 100 and 150 А (UDSU-251, SELMA, Russia). This experiment was conducted with a three-time repetition using the described electrodes from different manufacturers. Table 1 shows information of the used commercial electrodes, type and thickness of the plate.
The duration of each experiment was determined by the burning time of one electrode (~1 min) and the time needed for complete sedimentation of the WFs (1 h). This time period was selected based on the average time needed for a welder working in one spot during the technological process of production. The laboratory was evacuated until complete sedimentation of particles into the containers (after the burning of electrode). Characterization of the particle-size composition of WF samples, collected in a container with water, implies approximation of the conditions inside the human body in the context of their size and morphology due to possible processes of additional aggregation. This approximation is less applicable when characterizing size distribution of particles directly in the air or after concentrating on filters. Therefore, further results will be presented for the particle size distribution, reflecting the particle size distribution after their absorption by water, i.e. in conditions that approximately simulate their primary contact with the welder’s body.
Characterization of the WF samples
The histograms of particle-size distribution of WFs after they are deposited on the surface of deionized water were determined by dynamic light scattering (DLS), using Analysette 22 NanoTec plus (Fritsch GmbH, Germany). The measurements of each sample were conducted in Nano (0.01–45.00 µm) and Micro mode (0.08–2000.00 µm) under ultrasound for 30 seconds. Since some of the particles have a difficult geometric form, an ideal match between histograms of particle-size distribution is impossible, with an increase in size range (≥1 µm) these differences will become more significant. Therefore, the histogram was considered correct when the value of Span ([D90 − D10]/D50) differed by <10% from the characteristics of the previous sample (D10, D50 and D90 are the intercepts for 10%, 50% and 90% of the cumulative number, respectively).
The morphology and quantitative chemical analysis of WF were studied on an electron-probe WDS-EDX combined microanalyzer JXA 8100 (JEOL, Japan) equipped with an energy dispersive spectrometer INCA X-Sight (Oxford Instruments, Great Britain).
The 3D-modeling of WFs was carried out based on data of laser nephelometry of particles using specialized AutoCAD software (version J.51.0.0, Autodesk Education Master Suite 2015, Product serial number: 545-89603482). For the development of 3D models, the following algorithm was used:
A straight line was plotted from the center of each container, corresponding to the percentage of particles of the size within the range of <10 µm (РM10 fraction) in a sample. A straight line was plotted along the ↑Н axis for the containers placed at the floor line, whereas for the containers that were placed along the height the line was plotted parallel to the floor (axis ↓S, ← W, → E).
The extreme points of the lines that were plotted from the centers of containers are connected with curved lines. For the containers placed at the floor line - the curved lines intersect the top points of lines that were equally offset from the emission source, the welding skid. For the containers that were placed along the height - the curved lines represent circumferences with radii equal to the length of the straight lines (p. 1).
In accordance with obtained data, pp. 1, 2, the planes are plotted as follows: the first one connects the curves for the containers at the floor line and the second one - circles for containers that are placed along the height.
Results and Discussion
Based on the results of previously reported studies14,15,17,23 that showed typical predominance of micro- and nanoparticles in WFs, the 3D-modeling of clouds was based on the granulometric data, obtained by the ‘Nano’ mode of measurements. It should be noted that depending on the materials that were welded, the median values of particle size distribution (D50) varied from 0.06 µm (electrode EA-395/9-3.0-LD1 E-B20) to 94.71 µm (electrode КК-50N Kiswel). This shows that within a radius of 5 m from the source, the particle size after absorption by water varies over a very wide range. In this case, only a fraction of small particles is capable of forming relatively stable aerosols, whereas large particles are susceptible to rapid precipitation if they do not contain cavities. Regardless of the reasons for the formation of large particles (secondary agglomeration in air and water or the formation of sprays), their presence when absorbed by water indicates the possibility of their absorption by the welder’s body. The minimum particle size potentially absorbed by the particle welder’s body at different points of the working zone was determined with the use of the MR-3 electrode with rutile covering (Ø3 mm) (Fig. 2).
Thus, the peculiarities of formation of fume particles of РМ10 fraction within the entire space of the working zone were examined, using commercial electrodes Cho Sun CR-13, UONI-13/5, Bridge Brand J-421, ESAB OK-46 with various types of covering (Fig. 1 and 3, Tables 1 and 2). Table 2 presents the mean values of measurement results. The differences in values do not exceed 12%. According to other reference data, the presence of РМ10 particles in the air of workspaces varies within the range 15–80% (depending on the type of the industrial object)25. As a conclusion, maximum levels of pollution with particles of PM10 fraction occur in the workspace during arc welding operations (Table 2). Figure 3 shows 3D models of РМ10 particle distribution of within the workspace when the applied amperage is 150 А and use of various types of covered electrodes. 3D models with applied amperage of 100 А were presented in previous studies23,24. These models represent the percentage of particles of РМ10 fraction of the total amount of WF at different points of the workspace. Therefore, the addition of percentages of each one of the 3 directions (↓S, ← W, → E) corresponds to the total 100% of WFs. Disregarding the types of electrodes used, the 3D models of РМ10 particle distribution at the floor plane exhibited corrugated morphologies. All 3D models demonstrate high concentrations of the РМ10 particles at distances 0–3 m and 4–5 m from the emission source (Fig. 3). This peculiarity may be connected with the height of the emission source from the floor line (0.8 m). The fume cloud seems to reach levels of Q (РМ10) > 60% even at distances of 5 m from the emission zone when electrodes with rutile, basic and acidic coverings and applied amperage of 150 А are used (Table 1, Fig. 3b). It should be noted, that this entails the pollution of a space of over 280 m3 during welding operations, able to be caused just by one electrode (~1 min). Therefore, presence of the supporting working staff within this working zone without protective equipment is dangerous for their health (in accordance with Fig. 1).
In Table 3, geometrical types of 3D models (↑H axis) are reported in relevance with the types of covered electrodes and the values of amperage applied23,24. It should be noted that the amplitudes of dispersion of WFs at the floor line (↓S, ← W, → E) are proportional to their dispersion geometry along the height (↑H) (Fig. 3).
In general, when electrodes with rutile and acidic types of covering are used, an increase of amperage from 100 to 150 А causes more even dispersion of the fume cloud in the directions ↓S, ← W, → E. Moreover, use of covered electrodes of acidic type is characterized by minimal difference in values D50 and Q (PM10) between points of sampling (Fig. 1, Table 2, Fig. 3a,c). In contrast, when electrodes with basic and rutile-cellulose types of coverings are used, the dispersion of particles of the РМ10 fraction within the space of the work zone is uneven (Fig. 3b,d)23,24. This can be explained by the different intensity of metal vaporization that results from the variableness of the combustible component of the welding vapor that is forming1,16. Therefore, an increase in applied amperage causes a decrease in the burning stability of the welding arc. In electrodes with a basic type of covering, the destabilizing factor of the burning arc is the presence of the fluorine ions F- that play the role of arc deionizers26. An increase in amperage during the welding process when such type of electrodes are being used, leads to a faster size reduction of particles D50, in the area of a worker’s breath (↑H), where this parameter decreases by more than two orders of magnitude (Table 2). Samples collected from different points of the space prove the predominance of nano-sized WF components (<100 nm). This corresponds to previously reported results1, showing that the burning of basic type electrodes is less stable in contrast to the rutile ones. The ramp-up of D50 with increase of applied amperage from 100 to 150 A is typical for welding using electrodes of rutile-cellulose type. Concerning the electrodes with acidic type covering, no significant changes were observed (Table 2). As a result from the experiments, it is found that the maximum hazard is caused when electrodes with basic covering and high values of amperage applied are used, in contrast when the acidic, rutiles and rutile-cellulose types are used, which do not prove to be that dangerous. Moreover, the biological hazard with basic type of covering, in comparison with non-fluoric electrodes, is increased due to the emission of the toxic gases HF and SiF4. The peculiarities of the particle morphology and elemental composition of WF that form during welding with this type of electrodes was also investigated (Figs 4 and 5).
During analysis, the main morphological types of WF were examined and various types of morphologies occurred (solid and hollow spheres, ‘nucleus-shell’ structures27, perforated spheres, sharp-edged plates, aggregates of tree-like (coral) shape (Figs 4b–e and 5a). Formation of WF is a process that involves two stages. At first, vaporization of metal in the arc zone takes place leading to the dispersion of the formed vapors with the subsequent competing mechanisms of growth, such as coagulation and condensation8,9,28. Thus, the melted microparticles seek minimization of the surfaces free energy, reduction of the contact area up to the spheroidizing moment and reaching then isolation (Fig. 4b–d). In case of nanoparticles, high temperatures lead to irreversible changes in the particle morphology (Fig. 5a). The mass heating of particles and the loss of concrete shape results from the significant activation of the diffusion mass-transfer process. This leads to the formation of agglomerates of tree-like (coral) shape and sizes of up to ~100 μm (Fig. 4a, insert; Fig. 5a)29. It should be noted that some microparticles have polycrystalline (ceramic) microstructure (Fig. 4b, insert). The grains of oscillating elemental composition are forming during oxidation of the burning surface of the spherical solid particulates in the atmosphere.
According to data from chemical analysis (Fig. 5b,c), the core of metal composition of the WFs consists of iron Fe, manganese Mn (3rd hazard class), chrome Cr, nickel Ni and copper Cu (2nd hazard class), and calcium Ca, which correlates with the referenced data6,7,30,31. The peculiarity of the fume formation during the arc welding process is the combination of the balanced vaporization and unbalanced (combustible) shift of the molten components into fumes. This explains the bifractional formation of WFs (Fig. 5a ‘Spectrum 1’, Fig. 5b). Therefore, the fraction of smaller agglomerates of the tree-like shape is associated with normal vaporization conditions, when the percentage of WF can be represented as a function that depends on the composition of the electrode molten metal and on the values of vapor pressure of its elements26. The content of the volatile manganese in this fraction is significant (Fig. 5b). At the same time, the explosive character of the melt evaporation prevents rapid increase in the content of the volatile manganese to the equal partial pressure (Fig. 5c, Scanning Electron Microscopy). Since the manganese compounds are found in great concentrations, it can be concluded that almost all the manganese-containing particles have sizes of the PM10 fraction.
Data on the chemical composition and the morphology of the WF is also important for understanding their biological activity and toxicity to human health. The micron solid particulates may damage tissues of internal organs of a human and the particles of the small fraction and their agglomerates of the tree-like (coral) morphology are highly cytotoxic (Figs 4e and 5). The PM10 particles (primarily nanoparticles) infiltration of the organism stimulates a protective reaction, which initiates inflammatory processes, including even a development of thrombosis32. With reduction of particle sizes, their infiltration abilities increase, as well as the probability of intravasation into the human blood. Ultrafine particle sizes are able to easily infiltrate in lungs through the membranes of the alveolar ridge10. The microcirculation abnormalities in human organisms in the end leads to the development of diseases of the cardiovascular system and increases the risks of cancer (leucosis, lung cancer), heart attack and apoplectic attack33,34,35,36.
Chronic influence of manganese on the human organism can cause genetic mutations and degeneration of the CNS function. This negative effect is similar to Parkinsonism in nature37,38. The presence of manganese in covered electrodes of the basic type of the volatile fluorine compounds (KCaF3-CaF2, Na2SiF6) and high basicity of the cinder phase promotes an intense flow of alkaline and alki-earthy metal compounds into the WFs (in particular, calcium Ca) (Fig. 5b,c)5. The presence in the WFs of the volatile fluorine compounds can lead to the development of asthma39,40. Moreover, chrome (Cr) and nickel (Ni) compounds, found in welding wires and welded metals, have been proven to have cancerogenic influence on the human organism (Fig. 5b,c)41,42.
Workers of this field need constant biomonitoring of blood and urine for the purposes of evaluation and control of general health risks. Furthermore, warning text and photo messages about the potential risks in the welding zones may help to deliver the information about the hazard levels of ‘industrial sites’ to employees and visitors. In turn, the use of low-fume welding rods and/or elimination of welding fumes by using alternative welding methods, such as friction welding (a solid state process) will make it possible to exclude the negative emissions of welding vapors into the atmosphere.
The experimental procedures on arc welding, using various commercial covered electrodes, showed some peculiarities of size dispersion of the WF within the workspace. It is shown, that the amplitudes of the wave particles dispersion of the WF at the floor line (↓S, ← W, → E) are proportional to the geometry of their dispersion geometry along the height (↑H). The maximum size reduction of particles with increase in amperage is typical for the welding process using the covered electrodes of the basic type. In the welder’s area of breathing (↑H) the values of D50 decrease by more than two orders of magnitude, down to ~0.1 μm. Air samples collected demonstrate the predominance of nano-sized WFs. The morphology of the WF is represented by solid and hollow spheres, ‘nucleus-shell’ structures, perforated spheres, sharp-edged plates, agglomerates of the tree-like (coral) shape.
According to the results of this study, arc-welding operations prove once again to be procedures with high levels of hazard for human health. These results help improve our understanding of risks that these operations pose to human health and may strengthen the need for their control and mitigation. The introduction of 3D modeling of particle size dispersion of WF, during welding arc operations, proves to be an appropriate method for their characterization.
All data generated or analysed during this study are included in this published article. In addition, further information is available from the corresponding author on reasonable request.
Kobayashi, M., Maki, S., Hashimoto, Y. & Saga, T. Some considerations about the formation mechanism of welding fumes. Welding in the World, Le Soudage Dans Le Monde 16, 238–248 (1978).
Grishagin, V. M., Filonov, A. V. & Kiselev, S. V. In IOP Conference Series: Materials Science and Engineering.1 edn. (2016).
Pokhodnya, I. K., Yavdoshchin, I. R. & Gubenya, I. P. Welding aerosol: factors of effect, physical properties, methods of analysis. Paton Welding 6, 39–42 (2011).
Gumenyuk, V. I., Vlasova, O. S., Semenova, E. A. & Tomareva, I. A. Analysis of the composition of dust and gases of welding and plasma incision of metals. Sovremennaa nauka i innovacii 1, 104–111 (2016).
Li, G. J. et al. Occupational exposure to welding fume among welders: alterations of Manganese, Iron, Zinc, Copper, and lead in body fluids and the oxidative stress status. J. Occup. Environ. Med. 46, 241–248 (2004).
Jenkins, N. Т & Eager, T. W. Chemical analysis of welding fume particle - airborne particle size is the most important factor in determining the accuracy of a method for chemical analysis. Welding Journal 84, 87–93 (2005).
Jenkins, N. T., Pierce, W. M. G. & Eagar, T. W. Particle size distribution of as metal and flux cored arc welding fumes. Welding Journal 84, 156–163 (2005).
Zimmer, A. T. The influence of metallurgy on the formation of welding aerosols. Journal of Environmental Monitoring 4, 628–632, https://doi.org/10.1039/b202337g (2002).
Zimmer, A. T. & Biswas, P. Characterization of the aerosols resulting from arc welding processes. Journal of Aerosol Science 32, 993–1008 (2001).
Hoet, P. H. M., Brüske-Hohlfeld, I. & Salata, O. V. Nanoparticles - Known and unknown health risks. Journal of Nanobiotechnology 2, https://doi.org/10.1186/1477-3155-2-12 (2004).
Lighty, J. S., Veranth, J. M. & Sarofim, A. F. Combustion aerosols: Factors governing their size and composition and implications to human health. Journal of the Air and Waste Management Association 50, 1565–1618, https://doi.org/10.1080/10473289.2000.10464197 (2000).
Oberdörster, G. et al. Translocation of inhaled ultrafine particles to the brain. Inhalation Toxicology 16, 437–445, https://doi.org/10.1080/08958370490439597 (2004).
Ennan, A. A., Kiro, S. A., Oprya, M. V. & Vishnyakov, V. I. Particle size distribution of welding fume and its dependency on conditions of shielded metal arc welding. Journal of Aerosol Science 64, 103–110, https://doi.org/10.1016/j.jaerosci.2013.06.006 (2013).
Sowards, J. W., Lippold, J. C., Dickinson, D. W. & Ramirez, A. J. Characterization of welding fume from SMAW electrodes - Part I. Welding Journal (Miami, Fla) 87, 106-s–112-s (2008).
Sowards, J. W., Ramirez, A. J., Lippold, J. C. & Dickinson, D. W. Characterization procedure for the analysis of arc welding fume. Welding Journal (Miami, Fla) 87, 76-s–83-s (2008).
Jenkins, N. T. & Eager, T. W. Fume formation from spatter oxidation during arc welding. Science and Technology of Welding and Joining 10, 537–543, https://doi.org/10.1179/174329305X48310 (2005).
Sowards, J. W., Ramirez, A. J., Dickinson, D. W. & Lippold, J. C. Characterization of welding fume from SMAW electrodes -part II. Welding Journal (Miami, Fla) 89, 82s–90s (2010).
Oprya, M. et al. Size distribution and chemical properties of welding fumes of inhalable particles. Journal of Aerosol Science 45, 50–57, https://doi.org/10.1016/j.jaerosci.2011.10.004 (2012).
Voitkevich, V. Welding fumes: formation, properties and biological effects. (Cambridge, England: Abington, 1995).
Hariri, A., Yusof, M. Z. M. & Leman, A. M. Comparison of welding fumes exposure during standing and sitting welder’s position. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering 7, 1963–1966 (2013).
Dahal, S., Kim, T. & Ahn, K. Indirect prediction of welding fume diffusion inside a room using computational fluid dynamics. Atmosphere 7, https://doi.org/10.3390/atmos7060074 (2016).
Pervez, S., Mathew, J. & Sharma, R. Investigation of personal-indoor-outdoor particulate relationships in welding workshops. Journal of Scientific and Industrial Research 64, 454–458 (2005).
Kirichenko, K. Y., Drozd, V. A., Chaika, V. V., Gridasov, A. V. & Golokhvast, K. S. In Samara Scientific Center RAS. 662−665 (2015).
Kirichenko, K. Y. et al. 3D-Modeling of the Distribution of Welding Aerosol Nano- and Microparticles in the Working Area. Nano Hybrids and Composites 13, 232–238, https://doi.org/10.4028/www.scientific.net/NHC.13.232 (2017).
Orlov, R. V., Strelyaeva, A. B. & Barikaeva, N. S. Evaluation of suspended particle PM10 and PM2.5 in atmospheric air of residential areas. Solar Energy 12, 39–41 (2013).
Kobayashi, M., Maki, S., Hashimoto, Y. & Suga, T. Investigations on chemical composition of welding fumes. Welding Journal (Miami, Fla) 62, 190. s–196. s (1983).
Konarski, P., Iwanejko, I. & Ćwil, M. Core-shell morphology of welding fume micro- and nanoparticles. User Modeling and User-Adapted Interaction 70, 385–389, https://doi.org/10.1016/S0042-207X(02)00674-7 (2003).
Zimmer, A. T., Baron, P. A. & Biswas, P. The influence of operating parameters on number-weighted aerosol size distribution generated from a gas metal arc welding process. Journal of Aerosol Science 33, 519–531, https://doi.org/10.1016/S0021-8502(01)00189-6 (2002).
Yavetskiy, R. P. et al. Low-agglomerated yttria nanopowders via decomposition of sulfate-doped precursor with transient morphology. Journal of Rare Earths 32, 320–325, https://doi.org/10.1016/S1002-0721(14)60074-0 (2014).
Berlinger, B. et al. Physicochemical characterisation of different welding aerosols. Analytical and Bioanalytical Chemistry 399, 1773–1780, https://doi.org/10.1007/s00216-010-4185-7 (2011).
Worobiec, A. et al. Comprehensive microanalytical study of welding aerosols with X-ray and Raman based methods. X-Ray Spectrometry 36, 328–335 (2007).
Ibfelt, E., Bonde, J. P. & Hansen, J. Exposure to metal welding fume particles and risk for cardiovascular disease in Denmark: A prospective cohort study. Occupational and Environmental Medicine 67, 772–777, https://doi.org/10.1136/oem.2009.051086 (2010).
Antonini, J. M., Taylor, M. D., Zimmer, A. T. & Roberts, J. R. Pulmonary responses to welding fumes: Role of metal constituents. Journal of Toxicology and Environmental Health - Part A67, 233–249, https://doi.org/10.1080/15287390490266909 (2004).
Berlinger, B., Ellingsen, D. G., Náray, M., Záray, G. & Thomassen, Y. A study of the bio-accessibility of welding fumes. Journal of Environmental Monitoring 10, 1448–1453, https://doi.org/10.1039/b806631k (2008).
Chashchin, M. V. et al. Welding fumes like impact factor of inflammation and coagulation. Journal of Environmental and Public Health 5, 14–15 (2013).
Christensen, S. W., Bonde, J. P. & Omland, Ø. A prospective study of decline in lung function in relation to welding emissions. Journal of Occupational Medicine and Toxicology 3, https://doi.org/10.1186/1745-6673-3-6 (2008).
Racette, B. A. et al. Welding-related parkinsonism: Clinical-features, treatment, and pathophysiology. Neurology 56, 8–13 (2001).
Racette, B. A. et al. Prevalence of parkinsonism and relationship to exposure in a large sample of Alabama welders. Neurology 64, 230–235 (2005).
El-Zein, M., Malo, J. L., Infante-Rivard, C. & Gautrin, D. Prevalence and association of welding related systemic and respiratory symptoms in welders. Occupational and Environmental Medicine 60, 655–661, https://doi.org/10.1136/oem.60.9.655 (2003).
Vandenplas, O., Delwiche, J. P., Vanbilsen, M. L., Joly, J. & Roosels, D. Occupational asthma caused by aluminium welding. European Respiratory Journal 11, 1182–1184, https://doi.org/10.1183/09031936.98.11051182 (1998).
Sellappa, S. et al. Evaluation of DNA damage induction and repair inhibition in welders exposed to hexavalent chromium. Asian Pacific Journal of Cancer Prevention 11, 95–100 (2010).
Wultsch, G. et al. The sensitivity of biomarkers for genotoxicity and acute cytotoxicity in nasal and buccal cells of welders. International Journal of Hygiene and Environmental Health 217, 492–498, https://doi.org/10.1016/j.ijheh.2013.09.005 (2014).
The authors would like to thank the staff team of FEFU CCU (Center of Collective Use) ‘Interdepartmental center for analytical control of the environment’. D.Sc. K.S. Golokhvast has been funded by a grant of the President of Russian Federation for young Doctors of Science [project MD−7737.2016.5]. Mr. K.Yu. Kirichenko, D.Sc. A.I. Agoshkov, Dr. V.A. Drozd, Dr. A.V. Gridasov, Mr. A.S. Kholodov, Dr. S.P. Kobylyakov, Dr. D.Yu. Kosyanov, Dr. A.M. Zakharenko, Dr. A.A. Karabtsov, Dr. S.R. Shimanskii, Mr. A.K. Stratidakis, D.Sc. Ya.O. Mezhuev and Academician RAS A.M. Tsatsakis have gained no financial support or any funding for their contribution in this study.
The authors declare no competing interests.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Kirichenko, K.Y., Agoshkov, A.I., Drozd, V.A. et al. Characterization of fume particles generated during arc welding with various covered electrodes. Sci Rep 8, 17169 (2018). https://doi.org/10.1038/s41598-018-35494-1
- Welding Fumes (WF)
- Perforated Sphere
- Sharp-edged Plate
- Working Zone
- Hollow Spheres
Identification of cement in atmospheric particulate matter using the hybrid method of laser diffraction analysis and Raman spectroscopy
Aerodynamic diameter distribution of aerosols from plasma arc cutting for steels at different cutting power levels
Journal of Radioanalytical and Nuclear Chemistry (2020)
Characteristics of fume sedimentation in the working zone during arc welding with covered electrodes
Toxicological & Environmental Chemistry (2019)
Food and Chemical Toxicology (2019)