Properties of Cement Thermal Insulation Materials Containing Tailing Waste for Connecting Mines Assessed Using the Orthogonal Method with the Response Surface Method

High temperature in deep mines has become the main concern to limit the production capacity of mines. To mitigate the adverse impact of the underground high-temperature environment on mine production, an orthogonal test was used to design an experimental scheme, i.e., the contents of tailings, glass...

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Bibliographic Details
Published in:Processes 2023-09, Vol.11 (9), p.2652
Main Authors: Deng, Hongwei, Ran, Chunzhen, Liu, Yao
Format: Article
Language:English
Subjects:
Alkalinity
Analysis
Cement
Composite materials
Compressive strength
Dependent variables
Design
Electric properties
Glass beads
Heat conductivity
Heat transfer
High temperature
High temperature environments
Independent variables
Insulating materials industry
Insulation
Mathematical analysis
Methods
Mines
Mining
Optimization
Portland cements
Process parameters
Raw materials
Response surface methodology
Scanning electron microscopy
Tailings
Temperature
Thermal conductivity
Thermal insulation
Underground mines
Variables
Ventilation
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Summary:High temperature in deep mines has become the main concern to limit the production capacity of mines. To mitigate the adverse impact of the underground high-temperature environment on mine production, an orthogonal test was used to design an experimental scheme, i.e., the contents of tailings, glass beads, and ordinary Portland cement PC32.5 (PC) were set as the main horizontal factors to prepare thermal insulation material samples with different combination ratios. Compressive strength and thermal conductivity were investigated, as well as the microstructure. Based on the response surface method (RSM), the interaction between the horizontal factors was explored and analyzed using Design Expert 12 software, and thus non-linear fitting equations were established with the volume fractions of the main horizontal factors as independent variables and compressive strength and thermal conductivity as dependent variables in the analysis parameters of thermal insulation materials. The results showed that errors between the fitted calculated values of compressive strength and thermal conductivity and the experimental results were only 0.42% and 1.2%, respectively, indicating that the process parameters obtained with the optimum fitting ratio under the established fitting equation are highly reliable and have excellent compressive strength and thermal insulation properties. The optimized results obtained by combining the orthogonal method and the RSM show accurate prediction and applicability in the field of thermal insulation materials in mines.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr11092652