The costs for assembling a grainy product are at any time
essential for everyday practice. Therefore, a wide palette of
comminution- and classification machines is
available, where a selection for the appropriate one has to be made. Variable- and
simulation calculations help to find the right decision. Unfortunately,
processes in these machines are very complex and a definite prediction of optimal settings is
quite difficult nowadays. It gets even more difficult when such
processes are linked with each other. In order to get assured
statements about feasibility and costs, the following 3 sources are available:
| experimental investigations (laboratory-,
pilot plant station- and operating tests) |
| experience knowledge |
| and theoretical considerations (process
description and -models) |
The first two sources are applied very intensely,
whereas theoretical approaches will be used in special cases only.
Our ambitions are, to use the extensive test data
effectively and derive evaluations and models with a comparatively small
effort. The models are geared directly to practical goals.
Therefore, the test data are prepared unified and comparable,
interpreted in combination with experience knowledge and transfered with
flexible methods into contexts and models. These methods are built up in such a way that the models
can be verified easily in connection with further experimental results and
adapted to modified conditions. Thus, a stepwise qualification of model
imaginations is possible. The extensive evaluation- and
simulation software - PMP - supports this methodical procedure and
provides at the same time
a package for calculating flowsheets, where
the behaviour of grinding circuits of different complexity can be investigated effectively.
It turned out, that development- and operating costs
can be reduced by the PMP-Software and its proceeding as |