| Literature DB >> 33188236 |
Constantin Bobirică1, Cristina Orbeci2, Liliana Bobirică1, Petru Palade3, Călin Deleanu4, Cristian Mircea Pantilimon5, Cristian Pîrvu6, Ionuţ Cristian Radu7.
Abstract
The influence of waste glass and red mud addition as class="Chemical">alternative source ofEntities:
Year: 2020 PMID: 33188236 PMCID: PMC7666113 DOI: 10.1038/s41598-020-76818-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Chemical composition of the raw materials.
| Concentration, % (by weight) | |||
|---|---|---|---|
| Oxide | Bottom ash | Waste glass | Red mud |
| SiO2 | 47.40 | 49.60 | 11.00 |
| Al2O3 | 24.80 | 5.70 | 21.00 |
| CaO | 3.30 | 1.50 | 5.63 |
| Fe2O3 | 11.00 | 0.15 | 42.78 |
| SO3 | 2.20 | 7.60 | 1.10 |
| MgO | 2.30 | – | – |
| K2O | 2.42 | 6.15 | 0.37 |
| TiO2 | 0.87 | – | 2.37 |
| Na2O | 4.00 | 5.00 | 7.25 |
| P2O5 | – | 0.20 | 7.85 |
| Others | 1.71 | 24.10 | 0.65 |
Composition of the synthesis mixes.
| Component, % (by weight) | |||||
|---|---|---|---|---|---|
| Synthesis mixes | BA-N | BA-WG-N | BA-WG-RM10-N | BA-WG-RM20-N | BA-WG-RM30-N |
| Alkali activator | NaOH 30% (by weight) | ||||
| Bottom ash | 66.67 | 56.67 | 46.67 | 36.67 | 26.67 |
| Waste glass | – | 10.00 | 10.00 | 10.00 | 10.00 |
| Red mud | – | – | 10.00 | 20.00 | 30.00 |
| Na2O (activator) | 7.75 | 7.75 | 7.75 | 7.75 | 7.75 |
| H2O (activator) | 25.58 | 25.58 | 25.58 | 25.58 | 25.58 |
| Water/solid (w/s) | 0.35 | 0.35 | 0.35 | 0.35 | 0.35 |
| Na2O/solid (a/s) | 0.12 | 0.12 | 0.12 | 0.12 | 0.12 |
| Na2O/SiO2 | 0.37 | 0.35 | 0.20 | 0.14 | 0.10 |
| Si2O/Al2O3 | 3.24 | 3.63 | 5.98 | 8.23 | 10.40 |
| H2O/M2O | 7.93 | 7.79 | 8.15 | 8.55 | 8.99 |
| M2O/Al2O3 | 1.12 | 1.28 | 1.20 | 1.12 | 1.04 |
Figure 1Compressive strength of the geopolymer composites. Error bars represent the calculated standard deviation for the experimental data.
Figure 2XRD patterns of aluminosilicate precursors and geopolymer composites: a. BA; b. BA-N; c. RM; d. WG; e. BA-WG-N; f. BA-WG-RM10-N. (Q – quartz , M – mullite, C – calcium carbonate, G – gypsum, T – thernadite, Z – zeolite, S – sodalite, P – portlandite, A – aluminate, H – hematite, CSH – calcium silicate hydrate).
Figure 3Infrared spectra for: a. aluminosilicate precursors, and b. geopolymer composites.
Figure 4MAS-NMR spectra of geopolymer composites: (a) 29Si MAS-NMR spectra, (b) 27Al MAS-NMR spectra.
Figure 5Scanning electron microscope images (4 kX; 10 μm) for: (A) BA-N, (B) BA-WG-N, and (C) BA-WG-RM10-N.
Figure 6EDX spectra for: (A) BA-N; (B) BA-WG-N, and (C) BA-WG-RM10-N.
Figure 7Mössbauer spectra at 300 K for: (A) RM and (B) BA-WG-RM10-N.
Mössbauer hyperfine parameters for RM and BA-WG-RM10-N.
| Sample | Component | IS (mm/s)a | QS (mm/s) | HF (T) | Line width (mm/s) | Relative area (%) |
|---|---|---|---|---|---|---|
| RM | Sextet | 0.39(1) | 0.23(1) | 51.20(3) | 0.53 | 40.2 |
| Doublet | 0.40(1) | 0.59(1) | – | 0.47 | 59.8 | |
| BA-WG-RM | Sextet | 0.39(1) | 0.20(1) | 50.90(3) | 0.51 | 33.6 |
| Doublet | 0.38(1) | 0.57(1) | – | 0.40 | 66.4 |
aIS values are referred to metallic iron.
Initial content of contaminants in raw materials.
| Raw material | Contaminant, % (by weight) | |||||
|---|---|---|---|---|---|---|
| PbO | BaO | CuO | ZnO | NiO | Cr2O3 | |
| Bottom ash | 0.05 | 0.12 | 0.10 | 0.08 | 0.01 | 0.04 |
| Waste glass | 12.10 | 6.97 | 0.04 | 0.12 | 0.02 | 0.01 |
| Red mud | 0.01 | 0.04 | 0.01 | 0.13 | 0.06 | 0.25 |
Tank leaching test results for geopolymer composites.
| Geopolymer composite | Leachability index (LI) | |||||
|---|---|---|---|---|---|---|
| Pb | Cu | Zn | Ni | Cr | Ba | |
| BA-N | 13.4 | 13.1 | 12.8 | 13.8 | 12.6 | 12.7 |
| BA-WG-N | 12.2 | 13.0 | 13.4 | 13.5 | 13.0 | 12.4 |
| BA-WG-RM10-N | 12.6 | 13.5 | 13.8 | 14.1 | 13.0 | 12.9 |