TURBULENCE MODELING IMPROVEMENTS FOR JET NOISE PREDICTION USING PIV DATASETS
TURBULENCE MODELING IMPROVEMENTS FOR JET NOISE PREDICTION USING PIV DATASETS
复制标题
使用 PIV 数据集改进喷射噪声预测的湍流模型
DOI:
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发表时间:
2004
期刊:
影响因子:
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通讯作者:
D. Kenzakowski
中科院分区:
文献类型:
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作者:
D. Kenzakowski
Turbulence model modifications toward improving flowfield simulations for jet noise prediction are discussed based on quantitative comparisons with available PIV data in the developing jet region. Past jet modeling validation has relied primarily on comparisons with mean velocity centerline decay rate and experimental radial measurements available in the self-similar region, well downstream of the jet noise-producing region. Impact of these past modeling efforts on the predicted turbulence behavior upstream is now assessed and indicates need for revisions. Additionally, the critical role of the nozzle exit flow profile on the jet mixing simulation within this region is highlighted. Proposed modifications to a basic k-e model, validated across free shear datasets, address developing jet mixing issues and provide excellent data agreement without further modification for a thermal range of subsonic jets. Mixing anomalies still observed between hot and cold supersonic jet predictions are attributed to model deficiencies in the compressibility correction term of the turbulent kinetic energy equation; an empirical correction with preliminary validation is discussed with promising results.