Exemple #1
0
LPCmap.alphaMap = np.array([0.000, 1.000])
LPCmap.NcMap = np.array([0.300, 0.400, 0.500, 0.600, 0.700, 0.800, 0.900, 1.000, 1.100, 1.200, 1.250])
LPCmap.RlineMap = np.array([1.000, 1.200, 1.400, 1.600, 1.800, 2.000, 2.200, 2.400, 2.600, 2.800, 3.000, 3.200]) 

LPCmap.WcMap = np.array([[[ 38.0744,  42.9399,  47.7510,  52.5016,  57.1863,  61.7994, 66.3359,  70.7905,  75.1584,  76.5663,  76.5663,  76.5663],
  [ 54.0383,  60.0388,  65.9233,  71.6816,  77.3038,  82.7808, 88.1038,  93.2648,  98.2565, 101.0545, 101.0545, 101.0545],
  [ 70.3200,  77.5153,  84.4949,  91.2421,  97.7419, 103.9805, 109.9459, 115.6273, 121.0156, 124.6409, 124.6409, 124.6409],
  [ 87.4860,  95.6896, 103.5393, 111.0128, 118.0907, 124.7566, 130.9971, 136.8019, 142.1633, 146.2312, 146.2312, 146.2312],
  [105.8588, 114.8071, 123.2285, 131.0978, 138.3948, 145.1045, 151.2169, 156.7268, 161.6340, 165.7319, 165.7319, 165.7319],
  [125.1164, 134.6062, 143.3572, 151.3454, 158.5548, 164.9773, 170.6127, 175.4677, 179.5554, 182.8951, 183.0717, 183.0717],
  [144.4910, 154.5703, 163.6243, 171.6346, 178.5959, 184.5149, 189.4099, 193.3090, 196.2491, 198.2745, 198.4155, 198.4155],
  [165.9141, 176.2228, 185.1849, 192.7986, 199.0806, 204.0644, 207.7979, 210.3410, 211.7638, 212.1506, 212.1506, 212.1506],
  [188.5677, 198.3532, 206.6834, 213.5745, 219.0613, 223.1942, 226.0370, 227.6647, 228.1611, 228.1611, 228.1611, 228.1611],
  [214.1402, 222.1943, 228.9021, 234.2963, 238.4220, 241.3359, 243.1030, 243.7959, 243.8124, 243.8124, 243.8124, 243.8124],
  [227.8569, 234.5820, 240.1193, 244.5040, 247.7802, 250.0000, 251.2213, 251.5216, 251.5216, 251.5216, 251.5216, 251.5216]],
  [[ 38.0744,  42.9399,  47.7510,  52.5016,  57.1863,  61.7994, 66.3359,  70.7905,  75.1584,  76.5663,  76.5663,  76.5663],
  [ 54.0383,  60.0388,  65.9233,  71.6816,  77.3038,  82.7808, 88.1038,  93.2648,  98.2565, 101.0545, 101.0545, 101.0545],
  [ 70.3200,  77.5153,  84.4949,  91.2421,  97.7419, 103.9805, 109.9459, 115.6273, 121.0156, 124.6409, 124.6409, 124.6409],
  [ 87.4860,  95.6896, 103.5393, 111.0128, 118.0907, 124.7566, 130.9971, 136.8019, 142.1633, 146.2312, 146.2312, 146.2312],
  [105.8588, 114.8071, 123.2285, 131.0978, 138.3948, 145.1045, 151.2169, 156.7268, 161.6340, 165.7319, 165.7319, 165.7319],
  [125.1164, 134.6062, 143.3572, 151.3454, 158.5548, 164.9773, 170.6127, 175.4677, 179.5554, 182.8951, 183.0717, 183.0717],
  [144.4910, 154.5703, 163.6243, 171.6346, 178.5959, 184.5149, 189.4099, 193.3090, 196.2491, 198.2745, 198.4155, 198.4155],
  [165.9141, 176.2228, 185.1849, 192.7986, 199.0806, 204.0644, 207.7979, 210.3410, 211.7638, 212.1506, 212.1506, 212.1506],
  [188.5677, 198.3532, 206.6834, 213.5745, 219.0613, 223.1942, 226.0370, 227.6647, 228.1611, 228.1611, 228.1611, 228.1611],
  [214.1402, 222.1943, 228.9021, 234.2963, 238.4220, 241.3359, 243.1030, 243.7959, 243.8124, 243.8124, 243.8124, 243.8124],
  [227.8569, 234.5820, 240.1193, 244.5040, 247.7802, 250.0000, 251.2213, 251.5216, 251.5216, 251.5216, 251.5216, 251.5216]]])

LPCmap.effMap = np.array([[[.7256, .7656, .7978, .8195, .8274, .8164, .7494, .5651, .1931, .0000, .0000, .0000],
  [.7474, .7848, .8147, .8351, .8430, .8339, .7757, .6161, .3003, .0000, .0000, .0000],
  [.7610, .7984, .8286, .8496, .8586, .8516, .7977, .6479, .3526, .0000, .0000, .0000],
  [.7744, .8117, .8421, .8637, .8738, .8685, .8183, .6765, .3970, .0000, .0000, .0000],
Exemple #2
0
LPCMap.WcMap = np.array([[[
    17.907, 19.339, 20.749, 22.136, 23.498, 24.833, 26.141, 27.420, 28.669,
    29.887, 31.011
],
                          [
                              24.951, 26.742, 28.485, 30.177, 31.815, 33.397,
                              34.921, 36.385, 37.788, 39.128, 40.405
                          ],
                          [
                              32.682, 34.715, 36.662, 38.520, 40.286, 41.958,
                              43.533, 45.011, 46.390, 47.669, 48.848
                          ],
                          [
                              40.927, 43.115, 45.168, 47.083, 48.858, 50.492,
                              51.983, 53.331, 54.539, 55.607, 56.537
                          ],
                          [
                              49.850, 52.122, 54.195, 56.068, 57.741, 59.215,
                              60.494, 61.580, 62.479, 63.197, 63.739
                          ],
                          [
                              54.798, 57.066, 59.099, 60.897, 62.463, 63.800,
                              64.913, 65.810, 66.497, 66.983, 67.278
                          ],
                          [
                              60.051, 62.252, 64.185, 65.851, 67.255, 68.405,
                              69.307, 69.973, 70.413, 70.638, 70.675
                          ],
                          [
                              65.313, 67.427, 69.262, 70.824, 72.118, 73.153,
                              73.938, 74.484, 74.803, 74.907, 74.907
                          ],
                          [
                              70.995, 72.902, 74.542, 75.920, 77.043, 77.920,
                              78.560, 78.974, 79.174, 79.198, 79.198
                          ],
                          [
                              77.441, 78.904, 80.155, 81.199, 82.042, 82.690,
                              83.151, 83.434, 83.545, 83.548, 83.548
                          ],
                          [
                              84.344, 85.211, 85.952, 86.572, 87.074, 87.460,
                              87.735, 87.903, 87.967, 87.968, 87.968
                          ],
                          [
                              89.305, 89.687, 90.025, 90.320, 90.572, 90.783,
                              90.953, 91.083, 91.174, 91.227, 91.243
                          ],
                          [
                              93.626, 93.712, 93.793, 93.868, 93.939, 94.004,
                              94.064, 94.120, 94.170, 94.216, 94.257
                          ],
                          [
                              96.084, 96.074, 96.064, 96.054, 96.044, 96.033,
                              96.022, 96.012, 96.000, 95.989, 95.978
                          ]],
                         [[
                             17.907, 19.339, 20.749, 22.136, 23.498, 24.833,
                             26.141, 27.420, 28.669, 29.887, 31.011
                         ],
                          [
                              24.951, 26.742, 28.485, 30.177, 31.815, 33.397,
                              34.921, 36.385, 37.788, 39.128, 40.405
                          ],
                          [
                              32.682, 34.715, 36.662, 38.520, 40.286, 41.958,
                              43.533, 45.011, 46.390, 47.669, 48.848
                          ],
                          [
                              40.927, 43.115, 45.168, 47.083, 48.858, 50.492,
                              51.983, 53.331, 54.539, 55.607, 56.537
                          ],
                          [
                              49.850, 52.122, 54.195, 56.068, 57.741, 59.215,
                              60.494, 61.580, 62.479, 63.197, 63.739
                          ],
                          [
                              54.798, 57.066, 59.099, 60.897, 62.463, 63.800,
                              64.913, 65.810, 66.497, 66.983, 67.278
                          ],
                          [
                              60.051, 62.252, 64.185, 65.851, 67.255, 68.405,
                              69.307, 69.973, 70.413, 70.638, 70.675
                          ],
                          [
                              65.313, 67.427, 69.262, 70.824, 72.118, 73.153,
                              73.938, 74.484, 74.803, 74.907, 74.907
                          ],
                          [
                              70.995, 72.902, 74.542, 75.920, 77.043, 77.920,
                              78.560, 78.974, 79.174, 79.198, 79.198
                          ],
                          [
                              77.441, 78.904, 80.155, 81.199, 82.042, 82.690,
                              83.151, 83.434, 83.545, 83.548, 83.548
                          ],
                          [
                              84.344, 85.211, 85.952, 86.572, 87.074, 87.460,
                              87.735, 87.903, 87.967, 87.968, 87.968
                          ],
                          [
                              89.305, 89.687, 90.025, 90.320, 90.572, 90.783,
                              90.953, 91.083, 91.174, 91.227, 91.243
                          ],
                          [
                              93.626, 93.712, 93.793, 93.868, 93.939, 94.004,
                              94.064, 94.120, 94.170, 94.216, 94.257
                          ],
                          [
                              96.084, 96.074, 96.064, 96.054, 96.044, 96.033,
                              96.022, 96.012, 96.000, 95.989, 95.978
                          ]]])
Exemple #3
0
FanMap.RlineMap = np.array([1.000, 1.200, 1.400, 1.600, 1.800, 2.000, 2.200, 2.400, 2.600, 2.800, 3.000])

FanMap.WcMap = np.array([[[121.797, 150.895, 179.422, 207.275, 234.359, 260.582, 285.861, 310.120, 333.291, 355.315, 369.552],
  [194.867, 227.417, 258.872, 289.101, 317.981, 345.407, 371.284, 395.535, 418.097, 438.921, 457.973],
  [265.640, 302.320, 337.109, 369.834, 400.351, 428.543, 454.320, 477.621, 498.412, 516.684, 532.453],
  [330.650, 373.304, 412.750, 448.759, 481.163, 509.851, 534.771, 555.926, 573.366, 587.188, 597.526],
  [380.373, 433.991, 481.896, 523.736, 559.314, 588.580, 611.621, 628.642, 639.948, 645.923, 647.172],
  [408.374, 467.955, 520.262, 564.886, 601.649, 630.583, 651.910, 666.008, 673.384, 674.865, 674.865],
  [432.494, 499.118, 556.491, 604.137, 641.921, 670.010, 688.838, 699.045, 701.536, 701.536, 701.536],
  [470.522, 540.248, 599.144, 646.786, 683.165, 708.637, 723.856, 729.705, 729.841, 729.841, 729.841],
  [527.146, 594.695, 650.583, 694.581, 726.881, 748.023, 758.831, 760.796, 760.796, 760.796, 760.796],
  [593.025, 653.568, 702.700, 740.438, 767.140, 783.445, 790.213, 790.533, 790.533, 790.533, 790.533],
  [643.809, 697.196, 739.568, 771.126, 792.350, 803.950, 806.892, 806.892, 806.892, 806.892, 806.892],
  [684.120, 729.283, 764.846, 791.078, 808.441, 817.554, 819.416, 819.416, 819.416, 819.416, 819.416],
  [723.881, 760.550, 789.192, 810.094, 823.667, 830.421, 831.443, 831.443, 831.443, 831.443, 831.443],
  [762.811, 790.037, 811.271, 826.753, 836.786, 841.724, 842.410, 842.410, 842.410, 842.410, 842.410]],
  [[121.797, 150.895, 179.422, 207.275, 234.359, 260.582, 285.861, 310.120, 333.291, 355.315, 369.552],
  [194.867, 227.417, 258.872, 289.101, 317.981, 345.407, 371.284, 395.535, 418.097, 438.921, 457.973],
  [265.640, 302.320, 337.109, 369.834, 400.351, 428.543, 454.320, 477.621, 498.412, 516.684, 532.453],
  [330.650, 373.304, 412.750, 448.759, 481.163, 509.851, 534.771, 555.926, 573.366, 587.188, 597.526],
  [380.373, 433.991, 481.896, 523.736, 559.314, 588.580, 611.621, 628.642, 639.948, 645.923, 647.172],
  [408.374, 467.955, 520.262, 564.886, 601.649, 630.583, 651.910, 666.008, 673.384, 674.865, 674.865],
  [432.494, 499.118, 556.491, 604.137, 641.921, 670.010, 688.838, 699.045, 701.536, 701.536, 701.536],
  [470.522, 540.248, 599.144, 646.786, 683.165, 708.637, 723.856, 729.705, 729.841, 729.841, 729.841],
  [527.146, 594.695, 650.583, 694.581, 726.881, 748.023, 758.831, 760.796, 760.796, 760.796, 760.796],
  [593.025, 653.568, 702.700, 740.438, 767.140, 783.445, 790.213, 790.533, 790.533, 790.533, 790.533],
  [643.809, 697.196, 739.568, 771.126, 792.350, 803.950, 806.892, 806.892, 806.892, 806.892, 806.892],
  [684.120, 729.283, 764.846, 791.078, 808.441, 817.554, 819.416, 819.416, 819.416, 819.416, 819.416],
  [723.881, 760.550, 789.192, 810.094, 823.667, 830.421, 831.443, 831.443, 831.443, 831.443, 831.443],
  [762.811, 790.037, 811.271, 826.753, 836.786, 841.724, 842.410, 842.410, 842.410, 842.410, 842.410]]])

FanMap.effMap = np.array([[[.6931, .7672, .8306, .8802, .9112, .9167, .8887, .8138, .6634, .3791, .0000],
Exemple #4
0
AXI5.WcMap = np.array([[[
    4.8430, 5.1909, 5.5289, 5.8564, 6.1729, 6.4780, 6.7714, 7.0525, 7.3212
], [
    6.8115, 7.1360, 7.4477, 7.7462, 8.03130, 8.30260, 8.56000, 8.80330, 9.03230
], [
    8.9765, 9.2855, 9.5780, 9.8535, 10.1121, 10.3536, 10.5781, 10.7855, 10.9760
],
                        [
                            11.0367, 11.4245, 11.7795, 12.1017, 12.3913,
                            12.6485, 12.8738, 13.0679, 13.2314
                        ],
                        [
                            14.5914, 15.1491, 15.6401, 16.0650, 16.4249,
                            16.7213, 16.9563, 17.1322, 17.2515
                        ],
                        [
                            20.0347, 21.0987, 21.9935, 22.7217, 23.2879,
                            23.6987, 23.9625, 24.0887, 24.1034
                        ],
                        [
                            23.2785, 24.4288, 25.3829, 26.1447, 26.7207,
                            27.1196, 27.3519, 27.4292, 27.4293
                        ],
                        [
                            28.6553, 29.0317, 29.3528, 29.6202, 29.8354,
                            30.0000, 30.1159, 30.1849, 30.2090
                        ],
                        [
                            30.5418, 30.7022, 30.8417, 30.9606, 31.0595,
                            31.1387, 31.1988, 31.2402, 31.2635
                        ],
                        [
                            31.4065, 31.4886, 31.5601, 31.6213, 31.6723,
                            31.7133, 31.7445, 31.7661, 31.7782
                        ]],
                       [
                           [
                               8.3219, 8.8244, 9.2916, 9.7228, 10.1172,
                               10.4747, 10.7951, 11.0786, 11.3257
                           ],
                           [
                               12.7911, 13.2400, 13.6433, 14.0011, 14.3141,
                               14.5828, 14.8084, 14.9921, 15.1352
                           ],
                           [
                               15.5913, 15.9958, 16.3567, 16.6745, 16.9499,
                               17.1837, 17.3772, 17.5315, 17.6479
                           ],
                           [
                               17.6696, 18.2008, 18.6663, 19.0672, 19.4047,
                               19.6806, 19.8968, 20.0558, 20.1599
                           ],
                           [
                               20.4281, 21.1455, 21.7595, 22.2721, 22.6860,
                               23.0045, 23.2319, 23.3726, 23.4316
                           ],
                           [
                               23.2298, 24.3738, 25.3232, 26.0816, 26.6557,
                               27.0539, 27.2866, 27.3654, 27.3655
                           ],
                           [
                               24.7860, 25.9617, 26.9293, 27.6936, 28.2621,
                               28.6444, 28.8521, 28.9012, 28.9012
                           ],
                           [
                               28.6553, 29.0317, 29.3528, 29.6202, 29.8354,
                               30.0000, 30.1159, 30.1849, 30.2090
                           ],
                           [
                               30.5418, 30.7022, 30.8417, 30.9606, 31.0595,
                               31.1387, 31.1988, 31.2402, 31.2635
                           ],
                           [
                               31.4065, 31.4886, 31.5601, 31.6213, 31.6723,
                               31.7133, 31.7445, 31.7661, 31.7782
                           ],
                       ]])
Exemple #5
0
HPCmap.WcMap = np.array(
    [[[
        22.7411, 24.0487, 25.1548, 26.0615, 26.7738, 27.2992, 27.6470, 27.8286,
        27.8634, 27.8634, 27.8634
    ],
      [
          31.7548, 33.1181, 34.2670, 35.2054, 35.9397, 36.4783, 36.8308,
          37.0085, 37.0362, 37.0362, 37.0362
      ],
      [
          46.1066, 47.4088, 48.5066, 49.4046, 50.1096, 50.6291, 50.9717,
          51.1469, 51.1757, 51.1757, 51.1757
      ],
      [
          56.7268, 58.0480, 59.1608, 60.0704, 60.7837, 61.3084, 61.6527,
          61.8260, 61.8517, 61.8517, 61.8517
      ],
      [
          70.1448, 71.5163, 72.6688, 73.6088, 74.3429, 74.8795, 75.2269,
          75.3943, 75.4134, 75.4134, 75.4134
      ],
      [
          89.3764, 90.9746, 92.3098, 93.3900, 94.2232, 94.8199, 95.1897,
          95.3442, 95.3504, 95.3504, 95.3504
      ],
      [
          118.0620, 120.1207, 121.8253, 123.1867, 124.2166, 124.9292, 125.3385,
          125.4609, 125.4609, 125.4609, 125.4609
      ],
      [
          138.5093, 140.8966, 142.8639, 144.4238, 145.5916, 146.3836, 146.8174,
          146.9192, 146.9192, 146.9192, 146.9192
      ],
      [
          160.6243, 162.5676, 164.1805, 165.4722, 166.4536, 167.1370, 167.5334,
          167.6563, 167.6563, 167.6563, 167.6563
      ],
      [
          181.7993, 183.4993, 184.9150, 186.0545, 186.9260, 187.5389, 187.9029,
          188.0273, 188.0271, 188.0271, 188.0271
      ],
      [
          202.6315, 203.5858, 204.3958, 205.0661, 205.5998, 206.0000, 206.2702,
          206.4145, 206.4418, 206.4418, 206.4418
      ],
      [
          209.9986, 210.5917, 211.1029, 211.5321, 211.8825, 212.1554, 212.3516,
          212.4735, 212.5220, 212.5227, 212.5227
      ],
      [
          216.6847, 217.0279, 217.3287, 217.5860, 217.8015, 217.9767, 218.1106,
          218.2041, 218.2586, 218.2739, 218.2739
      ]],
     [[
         45.5139, 47.7923, 49.6744, 51.1682, 52.2877, 53.0508, 53.4791,
         53.5986, 53.5986, 53.5986, 53.5986
     ],
      [
          61.9648, 64.2862, 66.1998, 67.7166, 68.8513, 69.6225, 70.0509,
          70.1629, 70.1629, 70.1629, 70.1629
      ],
      [
          84.8030, 86.9149, 88.6608, 90.0516, 91.1005, 91.8227, 92.2351,
          92.3561, 92.3561, 92.3561, 92.3561
      ],
      [
          100.0799, 102.1580, 103.8778, 105.2502, 106.2882, 107.0060, 107.4188,
          107.5439, 107.5439, 107.5439, 107.5439
      ],
      [
          116.8091, 118.8724, 120.5804, 121.9443, 122.9763, 123.6901, 124.1001,
          124.2228, 124.2228, 124.2228, 124.2228
      ],
      [
          135.6708, 137.9187, 139.7752, 141.2518, 142.3627, 143.1228, 143.5481,
          143.6591, 143.6591, 143.6591, 143.6591
      ],
      [
          157.0283, 159.6273, 161.7610, 163.4443, 164.6937, 165.5281, 165.9667,
          166.0495, 166.0495, 166.0495, 166.0495
      ],
      [
          167.7171, 170.4948, 172.7683, 174.5537, 175.8698, 176.7370, 177.1761,
          177.2440, 177.2440, 177.2440, 177.2440
      ],
      [
          180.5349, 182.6532, 184.4021, 185.7931, 186.8382, 187.5511, 187.9446,
          188.0393, 188.0393, 188.0393, 188.0393
      ],
      [
          191.1595, 192.9175, 194.3772, 195.5477, 196.4376, 197.0574, 197.4157,
          197.5237, 197.5237, 197.5237, 197.5237
      ],
      [
          202.6315, 203.5858, 204.3958, 205.0661, 205.5998, 206.0000, 206.2702,
          206.4145, 206.4418, 206.4418, 206.4418
      ],
      [
          209.9986, 210.5917, 211.1029, 211.5321, 211.8825, 212.1554, 212.3516,
          212.4735, 212.5220, 212.5227, 212.5227
      ],
      [
          216.6847, 217.0279, 217.3287, 217.5860, 217.8015, 217.9767, 218.1106,
          218.2041, 218.2586, 218.2739, 218.2739
      ]]])
Exemple #6
0
FanMap.defaults['RlineMap'] = 2.00
FanMap.RlineStall = 1.0

FanMap.alphaMap = np.array([0.000, 5.000])
FanMap.NcMap = np.array([0.500, 0.600, 0.700, 0.800, 0.900, 0.950, 1.000, 1.050, 1.100])
FanMap.RlineMap = np.array([1.000, 1.250, 1.500, 1.750, 2.000, 2.250, 2.500, 2.750, 3.000, 3.200, 3.250, 3.500]) 

FanMap.WcMap = np.array([[[1104.3380, 1247.2229, 1384.7280, 1514.7731, 1635.3656, 1742.0557, 1829.9553, 1866.5565, 1866.5565, 1866.5565, 1866.5565, 1866.5565],
  [1369.0782, 1519.3645, 1661.7891, 1793.9161, 1913.4485, 2012.9872, 2084.3818, 2125.0225, 2126.4814, 2126.4814, 2126.4814, 2126.4814],
  [1644.4929, 1791.9211, 1929.5121, 2054.8865, 2165.8337, 2252.1497, 2302.7083, 2315.6926, 2315.6926, 2315.6926, 2315.6926, 2315.6926],
  [1919.7177, 2054.9785, 2179.5896, 2291.5830, 2389.1497, 2460.2048, 2491.7344, 2493.1619, 2493.1619, 2493.1619, 2493.1619, 2493.1619],
  [2191.8401, 2304.7476, 2407.9941, 2500.2908, 2580.4556, 2636.5833, 2655.9902, 2655.9902, 2655.9902, 2655.9902, 2655.9902, 2655.9902],
  [2324.3926, 2422.7034, 2512.5652, 2593.0525, 2663.3154, 2712.5415, 2729.2681, 2729.2681, 2729.2681, 2729.2681, 2729.2681, 2729.2681],
  [2446.8806, 2530.6360, 2607.3428, 2676.3726, 2737.1450, 2780.9336, 2798.5239, 2798.8225, 2798.8225, 2798.8225, 2798.8225, 2798.8225],
  [2564.0947, 2632.0720, 2694.6523, 2751.4587, 2802.1399, 2840.2256, 2858.9136, 2860.8069, 2860.8069, 2860.8069, 2860.8069, 2860.8069],
  [2675.1184, 2726.3958, 2774.0383, 2817.8599, 2857.6853, 2889.2947, 2908.2825, 2914.2979, 2914.2979, 2914.2979, 2914.2979, 2914.2979]],
  [[ 883.6700, 1019.1972, 1150.5194, 1275.3372, 1391.4280, 1494.5356, 1580.0111, 1639.0737, 1639.0737, 1639.0737, 1639.0737, 1639.0737],
  [1103.0485, 1250.1055, 1390.6215, 1521.7380, 1640.7301, 1740.2568, 1812.2133, 1853.6100, 1860.6985, 1860.6985, 1860.6985, 1860.6985],
  [1336.1071, 1487.0300, 1629.0968, 1759.2498, 1874.6134, 1964.5132, 2017.2321, 2030.5022, 2030.5022, 2030.5022, 2030.5022, 2030.5022],
  [1576.8409, 1724.1096, 1860.7565, 1983.9010, 2090.8706, 2168.0376, 2200.6162, 2201.4871, 2201.4871, 2201.4871, 2201.4871, 2201.4871],
  [1821.3027, 1957.1122, 2081.6206, 2192.4666, 2287.4802, 2351.2808, 2368.0996, 2368.0996, 2368.0996, 2368.0996, 2368.0996, 2368.0996],
  [1944.5967, 2071.4778, 2187.2837, 2290.0161, 2377.8403, 2435.2661, 2447.6707, 2447.6707, 2447.6707, 2447.6707, 2447.6707, 2447.6707],
  [2068.5525, 2184.2493, 2289.5361, 2382.8152, 2462.6226, 2514.0239, 2523.8010, 2523.8010, 2523.8010, 2523.8010, 2523.8010, 2523.8010],
  [2188.6860, 2292.2751, 2386.4270, 2469.9207, 2541.6360, 2588.0962, 2597.1982, 2597.1982, 2597.1982, 2597.1982, 2597.1982, 2597.1982],
  [2303.5840, 2394.5933, 2477.3633, 2551.0061, 2614.6997, 2657.1194, 2667.1841, 2667.1841, 2667.1841, 2667.1841, 2667.1841, 2667.1841]]])

FanMap.effMap = np.array([[[0.6585, 0.7756, 0.8552, 0.8821, 0.8316, 0.6642, 0.3039, 0.0010, 0.0010, 0.0010, 0.0010, 0.0010],
  [0.7145, 0.8102, 0.8747, 0.8970, 0.8603, 0.7400, 0.4938, 0.0386, 0.0005, 0.0005, 0.0005, 0.0005],
  [0.7692, 0.8439, 0.8942, 0.9128, 0.8896, 0.8113, 0.6571, 0.4108, 0.1588, 0.0046, 0.0046, 0.0046],
  [0.8178, 0.8734, 0.9113, 0.9273, 0.9159, 0.8710, 0.7838, 0.6910, 0.5830, 0.4661, 0.4314, 0.2151],
  [0.8588, 0.8965, 0.9227, 0.9356, 0.9327, 0.9118, 0.8700, 0.8384, 0.7979, 0.7568, 0.7451, 0.6766],
  [0.8749, 0.9042, 0.9250, 0.9359, 0.9357, 0.9232, 0.8968, 0.8791, 0.8568, 0.8345, 0.8282, 0.7920],
Exemple #7
0
HPCMap.RlineMap = np.array([1.000, 1.200, 1.400, 1.600, 1.800, 2.000, 2.200, 2.400, 2.600, 2.800, 3.000]) 

HPCMap.WcMap = np.array([[[ 7.267,  7.543,  7.802,  8.046,  8.273,  8.484,  8.678,  8.855,  9.017,  9.162,  9.292],
  [ 9.809, 10.081, 10.331, 10.558, 10.764, 10.948, 11.111, 11.253, 11.374, 11.475, 11.557],
  [13.119, 13.369, 13.593, 13.791, 13.964, 14.111, 14.235, 14.335, 14.412, 14.467, 14.501],
  [15.487, 15.754, 15.990, 16.196, 16.372, 16.519, 16.638, 16.729, 16.794, 16.834, 16.850],
  [18.810, 19.118, 19.386, 19.614, 19.804, 19.956, 20.073, 20.155, 20.203, 20.219, 20.219],
  [24.726, 25.163, 25.538, 25.851, 26.105, 26.302, 26.444, 26.532, 26.570, 26.572, 26.572],
  [32.579, 33.147, 33.628, 34.025, 34.340, 34.576, 34.736, 34.824, 34.844, 34.844, 34.844],
  [37.318, 37.919, 38.426, 38.843, 39.173, 39.418, 39.582, 39.669, 39.685, 39.685, 39.685],
  [42.541, 43.049, 43.481, 43.840, 44.126, 44.343, 44.493, 44.579, 44.603, 44.603, 44.603],
  [47.740, 48.152, 48.505, 48.801, 49.040, 49.225, 49.358, 49.440, 49.472, 49.473, 49.473],
  [53.232, 53.466, 53.672, 53.849, 53.998, 54.120, 54.216, 54.285, 54.330, 54.349, 54.350],
  [55.614, 55.749, 55.870, 55.976, 56.068, 56.146, 56.211, 56.261, 56.299, 56.323, 56.335],
  [57.892, 57.961, 58.023, 58.079, 58.130, 58.174, 58.213, 58.245, 58.273, 58.294, 58.310],
  [60.960, 60.963, 60.966, 60.969, 60.972, 60.975, 60.977, 60.980, 60.983, 60.985, 60.987]],
  [[14.708, 15.130, 15.496, 15.807, 16.064, 16.269, 16.424, 16.530, 16.591, 16.608, 16.608],
  [18.840, 19.257, 19.615, 19.914, 20.157, 20.346, 20.482, 20.569, 20.607, 20.610, 20.610],
  [23.739, 24.131, 24.469, 24.753, 24.986, 25.168, 25.302, 25.390, 25.433, 25.439, 25.439],
  [26.858, 27.271, 27.625, 27.924, 28.167, 28.356, 28.494, 28.583, 28.624, 28.628, 28.628],
  [30.784, 31.249, 31.648, 31.980, 32.248, 32.454, 32.601, 32.690, 32.724, 32.725, 32.725],
  [36.143, 36.742, 37.248, 37.664, 37.993, 38.237, 38.401, 38.488, 38.505, 38.505, 38.505],
  [41.743, 42.432, 43.011, 43.483, 43.851, 44.119, 44.291, 44.371, 44.379, 44.379, 44.379],
  [44.341, 45.025, 45.599, 46.066, 46.430, 46.695, 46.864, 46.943, 46.949, 46.949, 46.949],
  [47.355, 47.903, 48.366, 48.748, 49.050, 49.276, 49.427, 49.508, 49.523, 49.523, 49.523],
  [50.174, 50.600, 50.963, 51.267, 51.511, 51.699, 51.831, 51.911, 51.938, 51.938, 51.938],
  [53.232, 53.466, 53.672, 53.849, 53.998, 54.120, 54.216, 54.285, 54.330, 54.349, 54.350],
  [55.614, 55.749, 55.870, 55.976, 56.068, 56.146, 56.211, 56.261, 56.299, 56.323, 56.335],
  [57.892, 57.961, 58.023, 58.079, 58.130, 58.174, 58.213, 58.245, 58.273, 58.294, 58.310],
  [60.960, 60.963, 60.966, 60.969, 60.972, 60.975, 60.977, 60.980, 60.983, 60.985, 60.987]]])

HPCMap.effMap = np.array([[[.7176, .7276, .7328, .7322, .7247, .7090, .6806, .6339, .5639, .4639, .3239],
FanMap.RlineMap = np.array(
    [1.000, 1.200, 1.400, 1.600, 1.800, 2.000, 2.200, 2.400, 2.600])

FanMap.WcMap = np.array([
    # alpha = 0.
    [[5.929, 6.562, 7.174, 7.763, 8.328, 8.866, 9.378, 9.862, 10.317],
     [8.176, 8.853, 9.495, 10.101, 10.670, 11.201, 11.693, 12.144, 12.556],
     [10.456, 11.200, 11.890, 12.523, 13.099, 13.617, 14.077, 14.479, 14.824],
     [12.911, 13.755, 14.510, 15.176, 15.753, 16.241, 16.642, 16.959, 17.194],
     [16.180, 17.144, 17.969, 18.653, 19.200, 19.615, 19.904, 20.074, 20.133],
     [21.567, 22.428, 23.124, 23.661, 24.046, 24.286, 24.391, 24.398, 24.398],
     [25.381, 26.000, 26.486, 26.844, 27.081, 27.203, 27.225, 27.225, 27.225],
     [29.313, 29.579, 29.778, 29.912, 29.984, 30.000, 30.000, 30.000, 30.000],
     [30.535, 30.639, 30.705, 30.735, 30.737, 30.737, 30.737, 30.737, 30.737],
     [31.405, 31.413, 31.413, 31.413, 31.413, 31.413, 31.413, 31.413, 31.413]],

    # alpha = 90.
    [[7.605, 8.375, 9.104, 9.791, 10.433, 11.029, 11.578, 12.078, 12.529],
     [10.681, 11.481, 12.217, 12.888, 13.492, 14.029, 14.499, 14.903, 15.242],
     [14.163, 15.026, 15.788, 16.447, 17.004, 17.460, 17.820, 18.086, 18.263],
     [19.047, 20.051, 20.880, 21.538, 22.030, 22.364, 22.550, 22.601, 22.601],
     [21.320, 22.418, 23.296, 23.962, 24.425, 24.697, 24.793, 24.793, 24.793],
     [24.781, 25.662, 26.348, 26.846, 27.167, 27.322, 27.341, 27.341, 27.341],
     [26.878, 27.481, 27.945, 28.274, 28.477, 28.561, 28.565, 28.565, 28.565],
     [29.313, 29.579, 29.778, 29.912, 29.984, 30.000, 30.000, 30.000, 30.000],
     [30.535, 30.639, 30.705, 30.735, 30.737, 30.737, 30.737, 30.737, 30.73],
     [31.405, 31.413, 31.413, 31.413, 31.413, 31.413, 31.413, 31.413, 31.413]]
])

FanMap.effMap = np.array([
    # alpha = 0
HPCmap.RlineMap = np.array(
    [1.000, 1.200, 1.400, 1.600, 1.800, 2.000, 2.200, 2.400, 2.600])

HPCmap.WcMap = np.array([
    # alpha = 0.
    [[3.278, 3.470, 3.656, 3.834, 4.004, 4.167, 4.321, 4.467, 4.604],
     [4.457, 4.687, 4.903, 5.105, 5.293, 5.465, 5.623, 5.766, 5.895],
     [6.137, 6.334, 6.515, 6.682, 6.833, 6.969, 7.090, 7.196, 7.287],
     [8.080, 8.271, 8.443, 8.595, 8.728, 8.842, 8.938, 9.017, 9.078],
     [11.324, 11.568, 11.780, 11.960, 12.111, 12.231, 12.323, 12.388, 12.427],
     [18.702, 19.249, 19.705, 20.074, 20.357, 20.559, 20.684, 20.735, 20.737],
     [23.752, 24.269, 24.699, 25.046, 25.311, 25.499, 25.614, 25.658, 25.659],
     [29.110, 29.361, 29.574, 29.751, 29.893, 30.000, 30.074, 30.116, 30.128],
     [31.247, 31.355, 31.450, 31.530, 31.596, 31.649, 31.688, 31.715, 31.729],
     [32.014, 32.072, 32.122, 32.165, 32.200, 32.229, 32.250, 32.264, 32.272]],

    # alpha = 90.
    [[5.889, 6.169, 6.424, 6.652, 6.855, 7.033, 7.185, 7.312, 7.416],
     [8.999, 9.374, 9.698, 9.970, 10.192, 10.366, 10.494, 10.577, 10.618],
     [11.642, 11.944, 12.204, 12.423, 12.601, 12.742, 12.845, 12.912, 12.946],
     [14.405, 14.697, 14.949, 15.160, 15.334, 15.469, 15.569, 15.634, 15.666],
     [18.141, 18.491, 18.788, 19.036, 19.233, 19.384, 19.488, 19.550, 19.569],
     [23.310, 23.954, 24.485, 24.908, 25.227, 25.445, 25.570, 25.605, 25.605],
     [26.021, 26.569, 27.022, 27.385, 27.659, 27.850, 27.960, 27.995, 27.995],
     [29.313, 29.579, 29.778, 29.912, 29.984, 30.000, 30.000, 30.000, 30.000],
     [31.247, 31.355, 31.450, 31.530, 31.596, 31.649, 31.688, 31.715, 31.729],
     [32.014, 32.072, 32.122, 32.165, 32.200, 32.229, 32.250, 32.264, 32.272]]
])

HPCmap.effMap = np.array([
    # alpha = 0
Exemple #10
0
AXI3_2.WcMap = np.array([[[6.656, 7.378, 8.080, 8.763, 9.423, 10.060, 10.673,
                           11.260, 11.820],
                          [9.491, 10.188, 10.860, 11.505, 12.122,
                              12.710, 13.268, 13.796, 14.293],
                          [11.897, 12.714, 13.487, 14.214, 14.893,
                              15.524, 16.105, 16.637, 17.120],
                          [14.089, 15.192, 16.204, 17.124, 17.948,
                              18.676, 19.309, 19.847, 20.292],
                          [16.714, 18.186, 19.490, 20.622, 21.579,
                              22.364, 22.981, 23.436, 23.738],
                          [18.858, 21.035, 22.884, 24.398, 25.579,
                              26.436, 26.987, 27.254, 27.290],
                          [22.503, 24.231, 25.678, 26.847, 27.744,
                              28.379, 28.768, 28.930, 28.937],
                          [27.711, 28.362, 28.914, 29.368, 29.729,
                              30.000, 30.184, 30.286, 30.312],
                          [29.904, 30.161, 30.384, 30.572, 30.727,
                              30.850, 30.941, 31.002, 31.033],
                          [30.985, 31.102, 31.204, 31.291, 31.363, 31.421,
                           31.465, 31.495, 31.512]],
                         [[10.501, 11.535, 12.510, 13.422, 14.269, 15.048,
                           15.758, 16.398, 16.967],
                          [15.757, 16.712, 17.588, 18.381, 19.093,
                              19.722, 20.270, 20.737, 21.126],
                          [18.067, 19.097, 20.022, 20.840, 21.553,
                              22.161, 22.666, 23.072, 23.381],
                          [19.344, 20.666, 21.825, 22.818, 23.648,
                              24.318, 24.833, 25.199, 25.425],
                          [20.464, 22.123, 23.542, 24.720, 25.661,
                              26.370, 26.859, 27.142, 27.235],
                          [21.010, 23.199, 25.025, 26.483, 27.581,
                              28.334, 28.764, 28.898, 28.898],
                          [23.582, 25.289, 26.704, 27.830, 28.674,
                              29.249, 29.575, 29.669, 29.669],
                          [27.711, 28.362, 28.914, 29.368, 29.729,
                              30.000, 30.184, 30.286, 30.312],
                          [29.904, 30.161, 30.384, 30.572, 30.727,
                              30.850, 30.941, 31.002, 31.033],
                          [30.985, 31.102, 31.204, 31.291, 31.363, 31.421, 31.465, 31.495, 31.512]]])
Exemple #11
0
NCP01.WcMap = np.array(
    [[[
        1129.0825, 1258.8474, 1382.1909, 1498.6384, 1607.7749, 1709.2917,
        1802.8665, 1888.3794, 1965.6499, 2034.6738, 2095.4690, 2148.1226
    ],
      [
          1396.9045, 1546.6948, 1685.6306, 1813.0896, 1928.5979, 2031.8818,
          2122.7800, 2201.2161, 2267.4148, 2321.6023, 2364.1392, 2395.5188
      ],
      [
          1636.3572, 1816.0977, 1977.3179, 2119.2051, 2241.3333, 2343.6414,
          2426.3811, 2490.0854, 2535.5586, 2563.8640, 2576.1626, 2576.9243
      ],
      [
          1884.0764, 2099.0234, 2284.7820, 2440.4712, 2565.9761, 2661.9326,
          2729.5161, 2770.3828, 2786.6572, 2787.1653, 2787.1653, 2787.1653
      ],
      [
          2049.3005, 2269.7354, 2456.5759, 2609.2085, 2727.9202, 2813.8420,
          2868.7388, 2894.8994, 2898.0327, 2898.0327, 2898.0327, 2898.0327
      ],
      [
          2288.3171, 2492.5862, 2662.3203, 2797.5042, 2898.9448, 2968.1807,
          3007.2944, 3018.8535, 3018.8535, 3018.8535, 3018.8535, 3018.8535
      ],
      [
          2562.6401, 2733.0469, 2872.2166, 2980.6609, 3059.4998, 3110.3328,
          3135.1262, 3138.4663, 3138.4663, 3138.4663, 3138.4663, 3138.4663
      ],
      [
          2769.6670, 2909.9534, 3022.0933, 3106.9241, 3165.6892, 3199.9995,
          3211.6814, 3211.7039, 3211.7039, 3211.7039, 3211.7039, 3211.7039
      ],
      [
          2954.6721, 3056.6882, 3137.9358, 3199.1514, 3241.2805, 3265.4429,
          3272.8789, 3272.8789, 3272.8789, 3272.8789, 3272.8789, 3272.8789
      ],
      [
          3130.1790, 3195.2559, 3246.9822, 3285.8452, 3312.4382, 3327.4097,
          3331.4949, 3331.4949, 3331.4949, 3331.4949, 3331.4949, 3331.4949
      ],
      [
          3275.6797, 3310.4507, 3338.3101, 3359.5127, 3374.2856, 3382.9170,
          3385.6724, 3385.6724, 3385.6724, 3385.6724, 3385.6724, 3385.6724
      ]],
     [[
         1129.0825, 1258.8474, 1382.1909, 1498.6384, 1607.7749, 1709.2917,
         1802.8665, 1888.3794, 1965.6499, 2034.6738, 2095.4690, 2148.1226
     ],
      [
          1396.9045, 1546.6948, 1685.6306, 1813.0896, 1928.5979, 2031.8818,
          2122.7800, 2201.2161, 2267.4148, 2321.6023, 2364.1392, 2395.5188
      ],
      [
          1636.3572, 1816.0977, 1977.3179, 2119.2051, 2241.3333, 2343.6414,
          2426.3811, 2490.0854, 2535.5586, 2563.8640, 2576.1626, 2576.9243
      ],
      [
          1884.0764, 2099.0234, 2284.7820, 2440.4712, 2565.9761, 2661.9326,
          2729.5161, 2770.3828, 2786.6572, 2787.1653, 2787.1653, 2787.1653
      ],
      [
          2049.3005, 2269.7354, 2456.5759, 2609.2085, 2727.9202, 2813.8420,
          2868.7388, 2894.8994, 2898.0327, 2898.0327, 2898.0327, 2898.0327
      ],
      [
          2288.3171, 2492.5862, 2662.3203, 2797.5042, 2898.9448, 2968.1807,
          3007.2944, 3018.8535, 3018.8535, 3018.8535, 3018.8535, 3018.8535
      ],
      [
          2562.6401, 2733.0469, 2872.2166, 2980.6609, 3059.4998, 3110.3328,
          3135.1262, 3138.4663, 3138.4663, 3138.4663, 3138.4663, 3138.4663
      ],
      [
          2769.6670, 2909.9534, 3022.0933, 3106.9241, 3165.6892, 3199.9995,
          3211.6814, 3211.7039, 3211.7039, 3211.7039, 3211.7039, 3211.7039
      ],
      [
          2954.6721, 3056.6882, 3137.9358, 3199.1514, 3241.2805, 3265.4429,
          3272.8789, 3272.8789, 3272.8789, 3272.8789, 3272.8789, 3272.8789
      ],
      [
          3130.1790, 3195.2559, 3246.9822, 3285.8452, 3312.4382, 3327.4097,
          3331.4949, 3331.4949, 3331.4949, 3331.4949, 3331.4949, 3331.4949
      ],
      [
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