제목 | Lagrangian-Eulerian 기법을 이용한 고압 디젤 분무 시뮬레이션의 수치해석격자 의존성 저감에 관한 연구 |
---|---|
분야 | 엔진 및 연소 |
언어 | Korean |
저자 | 김사엽(조지아공대), 박성욱(한양대학교), 이창식(한양대학교), 오윤중(한양대학교) |
Key Words | Lagrangian-Eulerian(Lagrangian-Eulerian 기법), Grid dependency(격자 의존성), Droplet collision(액적 충돌), High-pressure diesel injection(고압 디젤 분무), KIVA-3V code(KIVA-3V 코드) |
초록 |
In the standard CFD code, Lagrangian-Eulerian method is very popular to simulate the liquid spray penetrating into gaseous phase. Though this method can give a simple solution and low computational cost, it have been reported that the Lagrangian spray models have numerical grid dependency, resulting in serious numerical errors. Many researches have shown the grid dependency arise from two sources. The first is due to unaccurate prediction of the droplet-gas relative velocity, and the second is that the probability of binary droplet collision is dependent on the grid resolution. In order to solve the grid dependency problem, the improved spray models are implemented in the KIVA-3V code in this study. For reducing the errors in predicting the relative velocity, the momentum gain from the gaseous phase to liquid particles were resolved according to the gas-jet theory. In addition, the advanced algorithm of the droplet collision modeling which surmounts the grid dependency problem was applied. Then, in order to validate the improved spray model, the computation is compared to the experimental results. By simultaneously regarding the momentum coupling and the droplet collision modeling, successful reduction of the numerical grid dependency could be accomplished in the simulation of the high-pressure injection diesel spray. |
원문(PDF) | 다운로드 |