MATEC Web Conf.
Volume 226, 2018XIV International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2018)
|Number of page(s)||6|
|Section||2 Non-linear dynamics and applied synergetics in technical systems|
|Published online||07 November 2018|
Study of the industrial contaminations containing hydrocarbon components and their effect on correlation of protective properties of textiles for clothes
Don State Technical University, Institute of Service and Business, 346500 Shakhty, Russia
* Corresponding author: firstname.lastname@example.org
The article represents trends and results of world investigations for safety of textile materials for humans and environment. The algorithm for identification of potential influence vector of chemical emissions from textile and the environmentally aimed methods based on the alternative chemical substances for textile wet processing were presented. Using the procedure for oleophobic effect determination, the oil resistance levels of a number of modern fabrics for clothes were established. The experimental research results of the oil products concentration in the textile materials after chemical treatment based on the method of the capillary gas chromatography were presented. It was found out that hydrocarbons from C14H30 Tetradecane to С36Н74 Hexatriacontane are the main components with high level of contaminants concentration. The average values of hydrocarbon concentration on the cleaned up samples for the main areas of the clothe surface were determined. Accumulation of residual contaminations, based on saturated hydrocarbons (С17Н36 – С25Н52 block) and related special-purpose clothes areas, was identified. Recommendations for target-oriented correlation of the clothes protective properties were proposed. UWO (unified work order). The research was made in Don State Technical University within the framework of State Assignment of the Ministry of education and science of Russia under the project 11.9194.2017/BCh.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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