Mechanical separators and fabric filters are being used to remove airborne fine particles generated during the processing and handling of wood. Such particles might have a harmful effect on employee health, not only in smallbut also in large-scale wood processing facilities. The amount of wood dust and its dispersion conditions vary according to geometric boundary conditions. Thus, the dispersion conditions could be changed by changing the linear size of the particles. Moreover, the smaller the particles are, the more harmful they can be. It is necessary to become familiar with properties, from a health point of view, of wood dust generated from processing. Wood dust has to be sucked away from the processing area. The fractional separation efficiency of wood dust can be improved using exhaust and filtering devices. Filtration efficiency depends on moisture content, particle size, and device performance. Because of the carcinogenicity of wood dust, the concentration of wood dust in air has to be monitored regularly. Based on the results hereof, a conclusion can be made that both mechanical separators of types SEA and SEB as well as the fabric filters with FINET PES 1 textile are suitable for the separation of wet saw dust from all types of wooden waste produced within the process.

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This article deals with the assessment of the hazards of dust waste generated by modern CNC (computer numerical control) technologies from the processing of resin-containing plastic composites. The change of the original material into dusty waste predicts the emergence of new hazardous characteristics such as flammability, explosiveness and adverse effects on employee health. The aim of this article is to determine the experimental measurement of dust particle size, its thermal degradation and safety characteristics. Sieve analysis showed that the representative sample contained a 93.8% weight of particles with a size of less than 0.4 mm. Three degrees of thermal degradation of industrial dust samples and heat production (exo reaction ∑ΔH = 9172.9 J/g) were determined by TG (thermogravimetry), DTA (differential thermal analysis) and DSC (differential scanning calorimetr) methods. The measurement safety characteristics such as the lower explosion limit, the maximum explosion pressure, the maximum pressure rise rate, and the calculated cubic constant confirmed that the dust is an explosive, and is determined as explosion class St1 (determined by Cubic constant).

The article is dealing with wood dust particle size problem in consideration of their fire and explosion. The aim of the thesis is statistical evaluation of wooden particles of Palisander (Jacaranda Mimosifolia) and Oak (Quercus robur L.). The samples were taken from the operation of the production furniture, in which dust is formed during the technology. Measurement was carried out by laser analyzer. Measurements were carried out on samples in specific time interval. Values, which were acquired, were evaluated of characteristics of the Weibull Distribution and treated in statistical program. It has been found by means of measurement and evaluation that sample of Palisander (Jacaranda Mimosifolia) has finer grain than sample of Oak (Quercus robur L.), therefore the has greater assumption to the creation of fire and explosions in process at the wood processing. We note in comparison with other sizes of wood particles, that the percentages are comparable.

In this work we deal with a change of selected anthropometric characteristics of the adult population in Slovakia and its effects on work safety. Slovak population was represented by a sample of students who studied at the Technical University in Zvolen in the years 2000-2014. Selected anthropometric attributes are important for the design of optimal arrangement and safe workplace. Standard quantile characteristics were calculated and compared to historical data. The results showed that an update is necessary older data because sizes of attributes of Slovak population were increased about 4.5-5%. Enlargement was confirmed at significance level greater than 1% in the categories of men and women.