Environmental Technologies for Use of Coal Mining and Chemical Industry Wastes
 
Więcej
Ukryj
1
Lviv Polytechnic National University, 12, Stepan Bandera Str., Lviv, 79013, Ukraine
2
Donetsk National Technical University, 2, Shibankova Square, Pokrovsk, 85300, Ukraine
AUTOR DO KORESPONDENCJI
Myroslav S. Malovanyy   

Lviv Polytechnic National University, 12, Stepan Bandera Str., Lviv, 79013, Ukraine
Data publikacji: 01-02-2020
 
J. Ecol. Eng. 2020; 21(2):95–103
SŁOWA KLUCZOWE
DZIEDZINY
 
STRESZCZENIE ARTYKUŁU
The purpose of the research was to rise the level of environmental safety in the coal mining regions by using combustion metamorphic rocks of the spoil banks, which were reinforced with the modified wastes of the polymer production, namely carbonous binders, as a man-made raw material for the base courses of roads. The environmentally friendly technology of the construction of the base course of roads from layers of combustion metamorphic rock mixtures (CMRM) with different largest granule size of crushed stone has been developed. The bulk density and compressive strength in a cylinder on a hydraulic press were used as the criteria for determining the rational granulometric composition. The practicability of reinforcing combustion metamorphic rocks with coal tar, which is a modified waste of the polystyrene production - polystyrene dust has been shown. The technology of preparation of the tar and polystyrene binder (TPB) has been developed. The optimal concentration of polystyrene dust in the organic binder of the coke production and the time of their combination (as the optimal areas of admissible values of variation factors X1, X2, X3) were determined using the method of mathematical planning of the three-factor experiment (5 optimization parameters). The coefficients of the regression equations have been calculated using the least squares method. Regression equations are a second-degree polynomial. The three-dimensional diagrams "parameters of system optimization - variance factors" have been calculated and drawn. In accordance with the obtained regression equations, the response surface has been designed in a three-dimensional space. The areas of admissible values of optimal variance factors correspond to the limit values of the response functions.