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Use of an Enhanced Stress Model for the Optimization of Wet Stirred Media Milling Processes
Author(s) -
BreitungFaes Sandra,
Kwade Arno
Publication year - 2014
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201300686
Subject(s) - grinding , process engineering , materials science , abrasive , energy consumption , process (computing) , specific energy , stress (linguistics) , mechanical engineering , scale up , process optimization , metallurgy , engineering , computer science , chemical engineering , physics , electrical engineering , classical mechanics , quantum mechanics , operating system , linguistics , philosophy
Wet grinding processes, especially in terms of nanoparticle production, are extremely energy intensive, and for hard and abrasive product materials, high grinding media wear is produced. In order to minimize energy consumption, the choice of the process parameters is crucial. The decision on the process parameters often depends on experience or a certain number of laboratory‐ or pilot‐scale experiments. Here, an enhanced stress energy model is used, which enables the prediction of optimum process parameters for inorganic materials in wet stirred media milling based on results for a different grinding material. The use of this model to select the process parameters is also valid with regard to grinding media wear: The grinding media wear reaches minimum values if the optimum parameters pertaining to the minimum specific energy are chosen based on this enhanced stress energy model, especially if soft products are ground.