Industrial and manufacturing processes are an abundant source of rich
and complex problems amenable to investigation with mathematical
logic and techniques. Once a problem is identi ed and the right questions
are formulated, a range of mathematical modelling methodologies
can be leveraged. These methods can be used to simplify the
problem to gain valuable insight into the underlying physical mechanisms
of the system under consideration. The resulting formulated
model can be used to explain observed phenomenon, explore poorly
understood behaviour, determine optimal parameters and predict future
states of the system. In this thesis, two problems relating to
industrial processes are studied.
Consistently extracting the desired level of soluble material from ground
co ee with hot water is a key objective in any co ee brewing method.
In this study, a co ee extraction model is derived from rst principles,
using volume averaging techniques, with a view to relating the quality
of brewed co ee with the parameters of the underlying processes.
Physical mechanisms for the dissolution and transport of co ee are
included. The model is parametrised with experimental data for different
extraction experiments. The model is non-dimensionalised, to
establish the dominant mechanisms during brewing. Numerical and
asymptotic solutions are presented.
The hydration process is a key step in the production of soft contact
lenses. Hydration primarily involves the removal of leachable chemicals,
used as process aids during earlier manufacturing stages, from
the contact lens. The leachable materials are removed by washing
the lenses with a solvent. In this work, macroscopic models of heat
and mass transport in the hydration process are formulated based
on experimental data. The heat transport equations are leveraged to
estimate the size of heating units required to maintain the speci ed
process temperatures. Chemical transport in the hydration process is
modelled with a view to optimising the system parameters.