Abstract
A probabilistic approach for the integral inlet separator particle trajectory simulations by fitting probability functions with five points Gauss-Hermite methods was presented, and its impact on particle tracking accuracy was performed as compared with deterministic particle rebound model and elastic bounce model. Results show that, the above three bounce models perform well in the prediction of separation efficiency for AC coarse sand; for C-spec sand, results based on elastic bounce model deviates from reality; the deterministic particle rebound model overpredicts the separation efficiency of C-spec sand, especially for the swirling inlet particle separator, and the probabilistic bounce model achieves an intermediate value in good agreement with experimental data.
| Original language | English |
|---|---|
| Pages (from-to) | 382-389 |
| Number of pages | 8 |
| Journal | Hangkong Dongli Xuebao/Journal of Aerospace Power |
| Volume | 32 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Feb 2017 |
Keywords
- Deterministic particle rebound model
- Gas-solid flow
- Inlet particle separator
- Particle-wall collision
- Probabilistic bounce model
Fingerprint
Dive into the research topics of 'Numerical simulation of two-phase flow in inlet particle separator based on probabilistic bounce model'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver