Bartkowiak G.,Zakladu Ochron Osobistych |
Dabrowska A.,Zakladu Ochron Osobistych |
Czapska A.,Zakladu Ochron Osobistych
Przeglad Wlokienniczy | Year: 2012
During the work with electrical installations, due to short circuits in the electrical devices resulting from both damages, as well as erroneous human behavior, electric arc can occur. Electric arc generates huge amount of energy within fractions of a second and thus represents extreme danger for people in the vicinity. The heat emitted by an electric arc can cause inflammation, melting or tearing of clothing and result in a severe bum injury. In order to reduce the negative impact of arc thermal effects on employee health, it is essential to use appropriate personal protective equipment, including protective clothing. Protective clothing against electric arc must meet the essential requirements for safety and ergonomics of the Directive 89/686/EEC, and be CE marked. The requirements for protective clothing against thermal effects of electric arc presents IEC 61482-2 standard, and testing methods - PN-EN 61842-1-1 and EN 61842 1-2. To protect employees against the thermal effects of electric arc, very important is the selection of appropriate materials for protective clothing and clothing design. In accordance with IEC 61482-2:2009 Protective clothing against thermal effects of an electric arc should be primarily heat resistant to the electric arc and flame retardant. In addition, due to the possible explosion that accompanies electric arc, materials intended for this type of clothing should have mechanical properties at the appropriate level. Currently, the market offers both materials and garments that meet the requirements for protection against the thermal effects of the electric arc. The basis for the selection of materials for protective clothing should be risk analysis based on the predicted utility conditions.
Dabrowska A.,Zakladu Ochron Osobistych
Przeglad Wlokienniczy | Year: 2012
Recently, there can be observed an increase of the significance of predicting textile properties. Developed models that can predict properties of yams, fabrics and clothing are valuable optimization tools and allow for development of the textile product that is characterized by certain properties determined by the predicted utility conditions. Because of the complex structure of textiles and nonlinear functions that characterize various phenomenon observed during their utility, and as a consequence - difficulties in the mathematical description, artificial neural networks can be used to model regressive issues in the field of textiles. The subject of this article is to analyze models developed with a use of artificial neural networks that allow for modeling properties of yams, fabrics and clothing in the aspect of using this simulating technique to predict properties of the personal protective equipment and especially - protective clothing.
Stefko A.,Zakladu Ochron Osobistych |
IrzmanSka E.,Zakladu Ochron Osobistych
Przeglad Wlokienniczy | Year: 2013
For the hand protection against cuts by sharp objects like glass, metal sheets or sharp tools etc. the gloves with protective properties tested according to EN 388:2003 are used. High and very high resistance to cuts is typical for knitted gloves made from yarns of p-aramide, core spun, polyethylene, glass fibres. For these types of materials the test method seems to be insufficient to confirm the resistance to cuts. In the paper the results of laboratory tests of cut resistance for different four types of gloves are discussed. The tested gloves were characterised by different level of protection. The test method according to EN 388:2003 was subjected to critical assessment. The method according to EN ISO 13997:1999 was suggested to be used for testing of resistance to cut of gloves characterizing by very high performance.