12 Property Function to Compute the Dustiness of Powders
427
3.3 Materials
Nine different test materials as listed in Tables 3 and 4 and depicted in Fig. 18 were
used to develop empiric dustiness forecast functions for the methods described in
Sect. 3.2. Care was taken in the selection process to ensure, that the selected test
materials will cover a wide range of material- and distribution-specific properties.
For each material sorption isotherms were derived from experiments with a climate
test chamber [6].
Table 3 Test materials [6]
Material
Main
components
Density, g/cm 3 Bulk density,
g/cm 3
Porosity
Arizona test dust A1
>98% SiO 2
2.54
0.53
0.79
Arizona test dust A2
>98% SiO 2
2.62
0.74
0.72
Arizona test dust A3
>98% SiO 2
2.61
0.84
0.68
Arizona test dust A4
>98% SiO 2
2.63
1.10
0.58
Pural NF
F1
77% Al 2 O 3 ,
22.998% H 2 0
2.35
0.50
0.79
Ulmer Weiß
XMF
F2
99.2% CaCO 3 ,
0.4% MgCO 3 ,
0.25% SiO 2 ,
0.1% Al 2 O 3
0.035% Fe 2 O 3
2.68
0.69
0.74
KSL 14027
construction site
test dust
Bau ca. 25% SiO 2 ,
ca. 25% Ca(SO 4 )
½ H 2 0
ca. 25% brick
dust
ca. 25% Portland
cement
2.80
0.85
0.70
ECE R-45
P1
ca. 88% SiO 2 ,
ca. 10%
charcoal-dust
ca. 2% NaCMC
2.30
0.80
0.65
KSL 11047
P2
37 … 72% SiO 2 ,
7 … 14% Al 2 O 3 ,
3 … 6%
CaMg(CO 3 ) 2
2.5 … 40%
viscose rayon
2 … 4% Fe 2 O 3
1.35 … 10%
cotton fiber
2.08
0.27
0.87