Optimization of microstructure of basalt-based fibers intended for improved thermal and acoustic insulations
Farouk, Mohamed; Schlüter, Steffen; Hamzawy, Esmat; Osman, Ali Farrag; El-Kammar, Ahmed; Yahia, Ahmed; Pollmann, Herbert; Soltan, AbdelMonem;
Abstract
Batch compositions of basalt and dolomite were optimized to produce high-quality fibers and wool boards applying Cupola technology. The raw batches, cinders, single fibers and fabricated wool boards have been characterized using XRD, XRF, SEM-EDAX, μ-X-ray CT, Lambda meter, mechanical and acoustic testing procedures according to ASTM and EN standards. The CaO/MgO ratio, acidity, basicity and melting moduli of the basaltic cinders are mainly related to the basalt low content of Mg-bearing minerals (19.15 wt%). The single fibers diameter (8.60 μm), non-fibrous shots (13.00 wt%) and Al2O3 (14.08 wt%) contents together with the quasi-horizontal macrostructure (SL-C = 0.60) improve the wool boards compressive (14.29Kpa) and tensile (3.00Kpa) strength as well as point load (140.00 N) properties. The single fibers microchemistry shows their enrichment with thermal conductivity ceasing oxides (∑ = 65.02 wt%) which together with the average porosity (92.30%) enhance the thermal (32.43 mW/mK and 6.17m2K/W) and acoustic (1.00 αs and 1.05 NRC) wool board insulations. The fabricated wool boards mechanical, thermal, acoustic and fire insulation characteristics are improved 28.00-, 2.35-, 1.40- and 45.45-times greater than the adopted EN standards, respectively.
Other data
Title | Optimization of microstructure of basalt-based fibers intended for improved thermal and acoustic insulations | Authors | Farouk, Mohamed; Schlüter, Steffen; Hamzawy, Esmat; Osman, Ali Farrag ; El-Kammar, Ahmed; Yahia, Ahmed; Pollmann, Herbert; Soltan, AbdelMonem | Keywords | Basalt | Cupola | Fiber | Insulation | Wool | Issue Date | 1-Feb-2021 | Publisher | ELSEVIER | Journal | Journal of Building Engineering | ISSN | 23527102 | DOI | 10.1016/j.jobe.2020.101904 | Scopus ID | 2-s2.0-85094862335 | Web of science ID | WOS:000608434100002 |
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