Volume 38 Issue 4
Jul.  2018
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LI Peng, TAN Xu, MA Yong, YU Haibin, XIE Wen, LI Leilei. Numerical Simulation of Flow Velocity and Silver Ion Concentration Distribution in Sterilization Moduleormalsize[J]. Journal of Space Science, 2018, 38(4): 546-552. doi: 10.11728/cjss2018.04.546
Citation: LI Peng, TAN Xu, MA Yong, YU Haibin, XIE Wen, LI Leilei. Numerical Simulation of Flow Velocity and Silver Ion Concentration Distribution in Sterilization Moduleormalsize[J]. Journal of Space Science, 2018, 38(4): 546-552. doi: 10.11728/cjss2018.04.546

Numerical Simulation of Flow Velocity and Silver Ion Concentration Distribution in Sterilization Moduleormalsize

doi: 10.11728/cjss2018.04.546
  • Received Date: 2017-04-19
  • Rev Recd Date: 2018-01-17
  • Publish Date: 2018-07-15
  • Future manned spacecraft needs to provide a long-term working environment, in which sterile water is the guarantee of life and health. The sterilization module is installed at the end of the water treatment system to release the specified concentration of silver ions to the purified water, playing a role of sterilization and long-term preservation of the water. According to the exchange basin using standard k-ε model standard wall function, the calculating model of flow field and concentration field of silver ions have been set up for the 600mL·min-1 flow condition as the water flows through the wall. The sterilization module electrode alternating exchanges with 30s period, and draws the concentration change. For meeting the actual conditions, the model is solved by iterative method. By analyzing the production rate of silver ion velocity, the highest concentration of silver ions locates at the anode surface near the cathode. Anode-cathode converting repeatedly can effectively reduce the silver ion concentration near the electrode surface. That is, the conversion has transmission effect to the decreasing of silver ion concentration, and can be carried out repeatedly. There is no AgOH precipitation, and then the process parameters can be determined and the engineering design can be guided. Finally, according to the simulation results, the optimization suggest of the sterilization module is given.

     

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