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Modellübertragung bei partieller Ähnlichkeit
Author(s) -
Zlokarnik Marko
Publication year - 1985
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.330570506
Subject(s) - similarity (geometry) , scale (ratio) , mixing (physics) , process (computing) , bubble , process engineering , computer science , basis (linear algebra) , scale up , mathematics , engineering , artificial intelligence , physics , geometry , classical mechanics , quantum mechanics , parallel computing , image (mathematics) , operating system
Scale‐up under conditions of partial similarity . When appropriate physical properties of the system are not available, it is impossible to accurately simulate the working conditions of an industrial plant in a laboratory‐scale experiment, and it then becomes necessary to resort to experiments under conditions of partial similarity. In these cases the laboratory‐scale experiments must be carried out in devices of various sizes and the results extrapolated to the industrial‐scale conditions. This expensive and inevitably unreliable procedure can occasionally be substituted by a systematic experimental approach based on dividing the process in question into individual parts which are then investigated separately (Examples 1 and 3), or by deliberately abandoning certain similarity criteria and checking the subsequent effects on the process as a whole (Example 2). In mixing technology, volume‐related mixing power is often taken as the scale‐up criterion, while in the design of bubble columns, the superficial velocity of the gas is taken as a basis. Both these cases are examples of scale‐up under conditions of partial similarity, and their validity is subjected to a critical examination (Examples 4 and 5).