Data assimilation for combustion ignition delay time simulation using schlieren image velocimetry

• DOI: 10.1016/j.flowmeasinst.2024.102596
• Publication Date: 2024-04-13T02:03:26Z
• Authors: Aiko Yakeno; Rin Inamura; Naoki Watanabe; Ryoichi Yoshimura; Shigeru Obayashi; Naoki Kurimoto; Scott Skeen

This study sought to improve the accuracy of simulating spray penetration and combustion ignition delay by means data assimilation (DA). The simulations were conducted using Reynolds-averaged Navier–Stokes (RANS) equations assimilating schlieren image data. In DA, an ensemble square root filter (EnSRF) was used build statistical model, making simulation results more accurate without any change in governing equations. Recognizing that spray-cone injection angle has a large effect on penetration, we created members with different angles. And applied two-component velocity distribution calculated via SIV updated both temperature DA model derived from RANS simulations. time is generally known vary even under same experimental conditions because it influenced many factors. this study, attempted transient DA-assisted predict when temporal resolution observation ware insufficient. Our trials offer example how combination techniques can be effectively assimilate obtained restricted conditions.