Can Zi , Huajie Liu , Jiangwei He , Xiuhu Dang , Xiaobang Liu , Jianchang Li
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引用次数: 0
Abstract
A combination of computational fluid dynamics (CFD) and population balance model (PBM) was used to study gas-liquid mixing in a fermenter. Numerical simulations assessed how heat exchange structure and tracer injection location affect mixing time. Results show that global mixing time is mainly influenced by the flow field, especially overall circulation strength in the core region. For the upper tracer injection point, global mixing time in Models 1–4 decreases as overall circulation improves with increased spacing of heat exchange tube bundles. Improper heat exchanger structures can increase global mixing time by up to 60 %. The effect of heat exchange structures on local mixing time at the upper injection point is similar to that on global mixing time. However, local mixing time is nearly 40 % shorter, making it unsuitable for reflecting the mixing performance in large-scale fermenters. The tracer injection location significantly affects mixing efficiency, with Model 1 showing an 18 % decrease at lower injection point, while Models 2–4 experience a 7∼14 % increase. This research offers valuable insights for designing and optimizing fermenters.
期刊介绍:
The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology.
The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields:
Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics
Biosensors and Biodevices including biofabrication and novel fuel cell development
Bioseparations including scale-up and protein refolding/renaturation
Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells
Bioreactor Systems including characterization, optimization and scale-up
Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization
Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals
Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release
Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites
Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation
Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis
Protein Engineering including enzyme engineering and directed evolution.