Chapter 12
Property Function to Compute
the Dustiness of Powders
Kai Vaupel, Tim Londershausen, and Eberhard Schmidt
Abstract The dustiness of a disperse solid can be understood as a property, which
when handled in a gaseous environment, behaves similar to an aerosol, releasing the
respective particle fraction of given quantity and size distribution. In general, this
release of dust is undesirable because it might result in material loss and often is associated with an exposure of personnel involved or represents a risk of environmental
pollution. The dustiness is therefore a product property, which might change along
the process path, for example through comminution, agglomeration, classification or
mixing of solids involved. Property functions which describe time variable dustiness
integrated in dynamic processes as a function of the distribution of particle size,
particle shape, and particle interaction during a certain handling, were determined
as part of this project. For this purpose, experiments with laboratory equipment such
as “free fall in still air”, “moving in a rotating drum”, “dispersion, pressure surges
method”, or “airflow dispersion” were performed at very well defined boundary
conditions and physically based models were established. The prediction functions
were successfully implemented in the flow sheet simulation DYSSOL. These models will be further used through the introduction of the so called “Fractionated grade
of release”. Together with the description of time-dependent changes of the related
strain-functions (apparatus properties) and rigidity-functions (material properties)
this approach will help to better predict transient processes of dustiness in future.
Nomenclature
c
Particle mass concentration [g/m
3 ]
d 32
Sauter diameter [m]
E 30
Light attenuation after 30 s [1]
E max Light attenuation maximum [1]
ε
Bulk porosity [1]
K. Vaupel · T. Londershausen · E. Schmidt (B)
Institute of Particle Technology, Bergische Universität Wuppertal, Wuppertal,
Germany
e-mail: eberhard@uni-wuppertal.de
© Springer Nature Switzerland AG 2020
S. Heinrich (ed.), Dynamic Flowsheet Simulation of Solids Processes,
https://doi.org/10.1007/978-3-030-45168-4_12
413
Property Function to Compute
the Dustiness of Powders
Kai Vaupel, Tim Londershausen, and Eberhard Schmidt
Abstract The dustiness of a disperse solid can be understood as a property, which
when handled in a gaseous environment, behaves similar to an aerosol, releasing the
respective particle fraction of given quantity and size distribution. In general, this
release of dust is undesirable because it might result in material loss and often is associated with an exposure of personnel involved or represents a risk of environmental
pollution. The dustiness is therefore a product property, which might change along
the process path, for example through comminution, agglomeration, classification or
mixing of solids involved. Property functions which describe time variable dustiness
integrated in dynamic processes as a function of the distribution of particle size,
particle shape, and particle interaction during a certain handling, were determined
as part of this project. For this purpose, experiments with laboratory equipment such
as “free fall in still air”, “moving in a rotating drum”, “dispersion, pressure surges
method”, or “airflow dispersion” were performed at very well defined boundary
conditions and physically based models were established. The prediction functions
were successfully implemented in the flow sheet simulation DYSSOL. These models will be further used through the introduction of the so called “Fractionated grade
of release”. Together with the description of time-dependent changes of the related
strain-functions (apparatus properties) and rigidity-functions (material properties)
this approach will help to better predict transient processes of dustiness in future.
Nomenclature
c
Particle mass concentration [g/m
3 ]
d 32
Sauter diameter [m]
E 30
Light attenuation after 30 s [1]
E max Light attenuation maximum [1]
ε
Bulk porosity [1]
K. Vaupel · T. Londershausen · E. Schmidt (B)
Institute of Particle Technology, Bergische Universität Wuppertal, Wuppertal,
Germany
e-mail: eberhard@uni-wuppertal.de
© Springer Nature Switzerland AG 2020
S. Heinrich (ed.), Dynamic Flowsheet Simulation of Solids Processes,
https://doi.org/10.1007/978-3-030-45168-4_12
413