Abstract

The emergence of a variety of textile materials with new properties, the development of computer technology has changed the traditional approach to the processes of selecting materials, design and producing special clothing. The article discusses the analytical approach of Russian and foreign scientists in the investigation of insulating properties of special clothing. Regression modeling techniques, optimization theory with the use of computer technology are widely used under these conditions. The study examines the different regression models, the results of the correlation, factor analysis in the calculation of the correlation of various parameters: the total thermal resistance, surface density, water vapor permeability, air permeability, hygroscopicity, surface filling, total porosity, thickness, water yielding. On the basis of calculations of required insulation protective clothing, the time of continuous stay in the cold for southern region of Russia workers engaged in Oil production we have developed a computer program. Based on the proposed regression model the problem of maximizing the quality criterion has been solved. With the help of quadratic programming methods we defined: the optimum value of the thickness of the package material, the thickness of the coating materials, the minimum possible value of air permeability in the end - a target set insulation materials. Due to this approach it has been possible to establish the maximum acceptable construction of special clothing for such conditions, as well as to adapt the process of picking a package of materials for these clothes. The issue complete materials package and the need to study the properties of thermal insulation materials selected as close as possible for creating a comfortable working environment are related in this article. Designing heatproof special clothing includes the processes of its testing under different conditions. One of the problems to be solved in the course of our tests is an analysis of changes in the thermal fields of workers with different body masses in the process of employment.

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