Preparation of Test Data  -  Process Modelling  -  Plant Optimisation

Within production control and quality management as well as in laboratory- and pilot plant station investigations a substantial number of data is accumulated every day. In many cases, these data can be applied for detecting important coherences which serve to obtain a more efficient production. Criteria for an ideal solution mostly depend on precise application conditions though.

For solving this complex of problems, we developed and adapted various software tools (PMP). Via


empirical / statistical approaches


phenomenological /physical founded approaches

ongoing situations can be comprehensively analysed and evaluated. At the same  time, different methods are available for deriving simple models and for directly verifying their quality. Depending on the disposable data material or experimental extent, general coherences and statements can be prescinded.    

Based on the PMP-Software and a series of complementary tools, we are in a position to oparate quite economic in this sector.


Supervising interpretations

Developing individual interpretations

Support in analysing existing data

Transfer of methods into individual software solutions on the basis of

Adaptation of evaluation methods to individual situations
bulletMicrosoft Office
bulletPMP-Tools       et al.

Participation in cooperative projects with


Developing complex interpretation solutions for laboratory- and pilot plant stations


partners of the  industry and
academic institutions


Transfer of new or individual interpretation techniques into software solutions     


for a targeted and efficient derivation of process models and application for optimisation.


Embedding individual software into existing IT-structures


Besides the PMP-Tools there are precast tools (Microsoft or OpenOffice) for the following issues. They can be checked directly and applied fast for precise materials and machines:    

Overdetermined balance calculations in networked flowsheets for determination of


the machine characteristic curve


consistent system states


ideal operating states

Parameter estimations for strong non-linear objective functions 


Property functions


Machine characteristic lines


Design functions

Modelling comminution processes based on:

bulleta comminution kinetics of variable order 

random approaches

Modelling classification processes based on


mass balances


invariant tromp curves

and their adaptation to

bulletAir separators
bulletSieving machines 
bulletHydrocyclones       et al.


and their adaptation to precise machines: 

bulletTumbling mills
bulletStirring ball mills
bulletRoller mills 
bulletImpact mills
bulletCrushers       et al.
GRAINsoft  GmbH