Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : October 18, 2024 - October 20, 2024
In air conditioner compressors, refrigerant and lubricating oil flow in the same space, so oil management within the compressor is important. Oil management requires visualization of the internal multiphase flow within the compressor, but experimental visualization is challenging because of the high temperature and pressure. Therefore, we use data assimilation to visualize and understand the internal flow from some experimental data.
In this study, we report the effectiveness of data assimilation for visualizing the internal flow field using twin experiments with a toy model. Using a toy model that simulates the internal flow of a compressor, we proved that the internal flow can be predicted in a flow field with a maximum flow velocity of 70 m/s by observing 50% of the state variables and assimilating data every 0.001 s. And We also confirmed that data assimilation was successful even when the number of observation data was reduced to 12.5%, and we confirmed the importance of observation data of the interior space.
