Information Technology Reference
In-Depth Information
CFD simulations of the fl ow dynamics in fl uidized bed:
(a) granular temperature; (b) solid velocity magnitude;
and (c) solid concentration (reprinted from Chua et al.,
2011; with permission from Elsevier)
Figure 7.17
granulation and may be useful for qualitative and quantitative prediction
of aggregation rates.
7.4 Conclusion
With continuous improvements in computing power, CFD techniques are
expected to become a powerful tool used across different branches of
science. CFD is already being used in some industries, such as the
aerospace and automotive industries, but it is still expected to fi nd wide
applicability in the pharmaceutical industry. Some recent studies,
regarding the application of CFD in pharmaceutical technology, have
been presented in this chapter. Benefi ts of applying CFD methods in
pharmaceutical product/process development and optimization are
numerous and doubtless. However, it is worth noting that theoretical
background and experimental validation are prerequisites for reliable
CFD simulation.
7.5 References
Blazek, J. (2005)
Computational Fluid Mechanics: Principles and Application
.
Oxford, UK: Elsevier.
Calay, R.K., Kurujareon, J., and Holdø, A.E. (2002) 'Numerical simulation of
respiratory fl ow patterns within human lung',
Resp. Physiol. Neurobio.
, 130:
201-21.
Chua, K.W., Makkawi, Y. T. , and Hounslow, M.J. (2011) 'Time scale analysis for
fl uidized bed melt granulation I: Granule-granule and granule-droplet
collision rates',
Chem. Eng. Sci.
, 66: 318-26.
Search WWH ::
Custom Search