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This work is based on computational fluid dynamics simulation of a typical mixing industrial equipment ventilation fermenter and glutamic acid crystallization tank study to provide data and technical support for the research and production . The thesis first portion for laboratory polylysine fermentation 5L ventilation stirred bioreactor for the study, using the FLUENT ( V6.3 , the Fluent Inc. , USA) as a computing platform , the first study a single blade at different speeds and at different gas velocities , mass transfer, mixing, dissolved oxygen , characterized as well as power consumption. The results show that : the single - blade fermenter is difficult to meet the needs of laboratory polylysine microbial fermentation . According to the above experimental results, the tank is optimized to increase the blade number and blade type . Four combinations of the study was conducted by three different blades (1 up and down stalls are six leaves straight oar; , stall six-blade propeller , under stalls straight paddle ; , stalls folded blade turbine under the stall six-blade paddle straight ; 4 , on stall folded blade turbine , under the stalls propeller ) flow field , shear force , the gas holdup and power , etc. , and fermentation experiments . 2 cans has the best fermentation performance . This on CFD numerical simulation the 2 cans best performing consistent with the results confirmed the CFD numerical simulation methods to guide and optimize the applicability of microbial fermentation . The second part of this paper is to optimize the structure of 50m3 glutamic acid crystallization tank . Under the premise of ensuring the mixing effect , reduce the shear force and power , and save energy and guarantee high quality products . The results show that : ( 1) the height of liquid , whether placed the draft tube and placed position , different blades and paddle diameter changes in concentration of the standard deviation σ very important . (2) satisfy a uniformly suspended state , and the shearing force is the smallest , the least power consumption scheme for D = 350mm, N = 240R · min -1 .
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