OPTIMIZATION OF HEAT-INSULATION OF SPECIAL CLOTHING: AN ANALYSIS USING REGRESSION MODELS

Abstract

The article deals with the problems of designing special clothing for the workers of the oil producing industry, solving the problem of maintaining thermal homeostasis person using multi-layer heat-shielding stackup materials. We processed array of experimental data on the properties of advanced materials designed to protect against high and low temperatures (with the defined climatic conditions and the dynamics of movement works), as the example of special clothing for the workers of the oil producing industry of the southern region of Russia. The article tells about posed and solved problem of optimal choice of package materials for comfortable working conditions in the test clothing. The criterion for the quality of insulation is special clothing. Equations connection optimization problem obtained by regression analysis of the relationship between the structural and thermal parameters set heatproof materials multilayered clothes: such as insulation, surface density, permeability, thickness of the coating material that is acceptable for the package materials and ambient temperature. We got the equation for quadratic regression insulation. On the basis of an offer regressive model, the optimal are certain the methods of the quadratic programming: thickness of package, thickness of the coating color and air permeability of the package of materials the heat-insulation of clothing has maximal comfort. It allows to set the maximum acceptable for the given conditions of the construction of special clothing, as well as to adapt the process of picking a package of materials for special clothing with the necessary insulation for comfortable working conditions.