基于深度学习的螺旋桨水动力性能快速预报方法
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高楠, 胡安康, 侯立勋, 常欣
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An Rapid Prediction Method for Propeller Hydrodynamic Performance Based on Deep Learning
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GAO Nan, HU Ankang, HOU Lixun, CHANG Xin
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表2 数据集内的螺旋桨及其主要参数
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Tab.2 Propellers and their main parameters in the data set
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| 型号 | Z | D/m | Dr | P/D(0.7R) | S/(°) | ra/(°) | | HSP | 5 | 0.220 | 0.700 | 0.944 | 45.00 | -3.03 | | P4119 | 3 | 0.305 | 0.600 | 1.084 | 0.00 | 0.00 | | MAU5-65 | 5 | 0.250 | 0.650 | 1.000 | 50.00 | 10.00 | | KP458 | 4 | 0.204 | 0.431 | 0.721 | 13.15 | 0.00 | | DTRC 4118 | 3 | 0.305 | 0.600 | 1.077 | 0.00 | 0.00 | | E779A | 4 | 0.240 | 0.550 | 1.100 | 0.00 | 4.05 | | P4381 | 5 | 0.305 | 0.725 | 1.210 | 0.00 | 0.00 | | KP068 | 5 | 0.250 | 0.725 | 1.210 | 0.00 | 0.00 | | KP069 | 5 | 0.250 | 0.725 | 1.191 | 31.58 | 0.00 | | KP070 | 5 | 0.250 | 0.725 | 1.184 | 63.10 | 0.00 | | B4-55 | 4 | 0.240 | 0.550 | 1.000 | 0.00 | 0.00 | | B4-40 | 4 | 0.300 | 0.400 | 1.300 | 0.00 | 15.00 | | P4382 | 5 | 0.305 | 0.725 | 1.200 | 36.00 | 5.38 | | DTRC 4497 | 5 | 0.240 | 0.700 | 1.200 | 36.00 | 0.00 | | DTRC 4383 | 5 | 0.305 | 0.725 | 1.098 | 72.00 | 10.15 | | VP1304 | 5 | 0.250 | 0.779 | 1.635 | 18.84 | -7.50 | | DTRC4384 | 5 | 0.305 | 0.725 | 1.199 | 108.00 | 14.46 | | DTRC4679 | 3 | 0.607 | 0.755 | 1.572 | 51.00 | 0.00 |
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