Exemplo n.º 1
0
  [.8034, .8405, .8712, .8937, .9058, .9042, .8628, .7420, .5068, .0979, .0000, .0000],
  [.8214, .8533, .8793, .8981, .9079, .9062, .8724, .7766, .5961, .2955, .0000, .0000],
  [.8425, .8663, .8853, .8985, .9047, .9025, .8778, .8117, .6929, .5052, .2255, .0000],
  [.8540, .8731, .8880, .8981, .9024, .9000, .8800, .8286, .7386, .6003, .4004, .1206]]])

LPCmap.PRmap = np.array([[[1.0423, 1.0412, 1.0393, 1.0367, 1.0333, 1.0292, 1.0234, 1.0151, 1.0043, 1.0000, 1.0000, 1.0000],
  [1.0760, 1.0738, 1.0704, 1.0658, 1.0600, 1.0530, 1.0434, 1.0297, 1.0122, 1.0000, 1.0000, 1.0000],
  [1.1215, 1.1180, 1.1127, 1.1055, 1.0965, 1.0856, 1.0707, 1.0497, 1.0228, 1.0000, 1.0000, 1.0000],
  [1.1789, 1.1738, 1.1660, 1.1555, 1.1423, 1.1266, 1.1052, 1.0753, 1.0374, 1.0000, 1.0000, 1.0000],
  [1.2494, 1.2422, 1.2312, 1.2167, 1.1986, 1.1771, 1.1481, 1.1078, 1.0572, 1.0000, 1.0000, 1.0000],
  [1.3353, 1.3253, 1.3105, 1.2910, 1.2669, 1.2384, 1.2002, 1.1476, 1.0822, 1.0056, 1.0000, 1.0000],
  [1.4411, 1.4282, 1.4088, 1.3830, 1.3512, 1.3136, 1.2632, 1.1942, 1.1088, 1.0101, 1.0000, 1.0000],
  [1.5724, 1.5561, 1.5313, 1.4982, 1.4572, 1.4088, 1.3440, 1.2556, 1.1472, 1.0233, 1.0000, 1.0000],
  [1.7323, 1.7101, 1.6785, 1.6379, 1.5888, 1.5318, 1.4572, 1.3572, 1.2358, 1.0982, 1.0000, 1.0000],
  [1.9360, 1.9056, 1.8662, 1.8184, 1.7625, 1.6991, 1.6190, 1.5142, 1.3887, 1.2471, 1.0944, 1.0000],
  [2.0507, 2.0158, 1.9729, 1.9223, 1.8645, 1.8000, 1.7201, 1.6176, 1.4958, 1.3584, 1.2098, 1.0546]],
  [[1.0423, 1.0412, 1.0393, 1.0367, 1.0333, 1.0292, 1.0234, 1.0151, 1.0043, 1.0000, 1.0000, 1.0000],
  [1.0760, 1.0738, 1.0704, 1.0658, 1.0600, 1.0530, 1.0434, 1.0297, 1.0122, 1.0000, 1.0000, 1.0000],
  [1.1215, 1.1180, 1.1127, 1.1055, 1.0965, 1.0856, 1.0707, 1.0497, 1.0228, 1.0000, 1.0000, 1.0000],
  [1.1789, 1.1738, 1.1660, 1.1555, 1.1423, 1.1266, 1.1052, 1.0753, 1.0374, 1.0000, 1.0000, 1.0000],
  [1.2494, 1.2422, 1.2312, 1.2167, 1.1986, 1.1771, 1.1481, 1.1078, 1.0572, 1.0000, 1.0000, 1.0000],
  [1.3353, 1.3253, 1.3105, 1.2910, 1.2669, 1.2384, 1.2002, 1.1476, 1.0822, 1.0056, 1.0000, 1.0000],
  [1.4411, 1.4282, 1.4088, 1.3830, 1.3512, 1.3136, 1.2632, 1.1942, 1.1088, 1.0101, 1.0000, 1.0000],
  [1.5724, 1.5561, 1.5313, 1.4982, 1.4572, 1.4088, 1.3440, 1.2556, 1.1472, 1.0233, 1.0000, 1.0000],
  [1.7323, 1.7101, 1.6785, 1.6379, 1.5888, 1.5318, 1.4572, 1.3572, 1.2358, 1.0982, 1.0000, 1.0000],
  [1.9360, 1.9056, 1.8662, 1.8184, 1.7625, 1.6991, 1.6190, 1.5142, 1.3887, 1.2471, 1.0944, 1.0000],
  [2.0507, 2.0158, 1.9729, 1.9223, 1.8645, 1.8000, 1.7201, 1.6176, 1.4958, 1.3584, 1.2098, 1.0546]]])

#LPCmap.Nc_data, LPCmap.alpha_data, LPCmap.Rline_data = np.meshgrid(LPCmap.Nc_vals, LPCmap.alpha_vals, LPCmap.Rline_vals, sparse=False)
LPCmap.Npts = LPCmap.NcMap.size

LPCmap.units = {}
Exemplo n.º 2
0
LPCMap.PRmap = np.array([[[
    1.0678, 1.0649, 1.0613, 1.0571, 1.0522, 1.0468, 1.0402, 1.0322, 1.0227,
    1.0117, 1.0000
],
                          [
                              1.1239, 1.1186, 1.1122, 1.1047, 1.0962, 1.0865,
                              1.0751, 1.0611, 1.0445, 1.0257, 1.0045
                          ],
                          [
                              1.1994, 1.1910, 1.1809, 1.1691, 1.1558, 1.1409,
                              1.1233, 1.1020, 1.0771, 1.0488, 1.0173
                          ],
                          [
                              1.2981, 1.2855, 1.2706, 1.2533, 1.2339, 1.2122,
                              1.1869, 1.1563, 1.1210, 1.0811, 1.0370
                          ],
                          [
                              1.4289, 1.4111, 1.3899, 1.3655, 1.3380, 1.3076,
                              1.2720, 1.2295, 1.1804, 1.1254, 1.0654
                          ],
                          [
                              1.5118, 1.4909, 1.4661, 1.4375, 1.4052, 1.3695,
                              1.3278, 1.2779, 1.2205, 1.1565, 1.0868
                          ],
                          [
                              1.6070, 1.5827, 1.5538, 1.5205, 1.4831, 1.4417,
                              1.3934, 1.3358, 1.2697, 1.1962, 1.1165
                          ],
                          [
                              1.7160, 1.6881, 1.6555, 1.6183, 1.5767, 1.5312,
                              1.4785, 1.4160, 1.3448, 1.2660, 1.1808
                          ],
                          [
                              1.8402, 1.8086, 1.7724, 1.7318, 1.6869, 1.6381,
                              1.5824, 1.5170, 1.4430, 1.3615, 1.2736
                          ],
                          [
                              1.9930, 1.9587, 1.9206, 1.8788, 1.8336, 1.7852,
                              1.7309, 1.6685, 1.5988, 1.5225, 1.4405
                          ],
                          [
                              2.1593, 2.1257, 2.0899, 2.0518, 2.0117, 1.9695,
                              1.9235, 1.8724, 1.8163, 1.7557, 1.6909
                          ],
                          [
                              2.2764, 2.2510, 2.2248, 2.1978, 2.1701, 2.1416,
                              2.1118, 2.0801, 2.0464, 2.0108, 1.9735
                          ],
                          [
                              2.3771, 2.3664, 2.3557, 2.3448, 2.3339, 2.3229,
                              2.3118, 2.3004, 2.2887, 2.2768, 2.2646
                          ],
                          [
                              2.4343, 2.4365, 2.4387, 2.4409, 2.4430, 2.4452,
                              2.4473, 2.4495, 2.4516, 2.4538, 2.4559
                          ]],
                         [[
                             1.0678, 1.0649, 1.0613, 1.0571, 1.0522, 1.0468,
                             1.0402, 1.0322, 1.0227, 1.0117, 1.0000
                         ],
                          [
                              1.1239, 1.1186, 1.1122, 1.1047, 1.0962, 1.0865,
                              1.0751, 1.0611, 1.0445, 1.0257, 1.0045
                          ],
                          [
                              1.1994, 1.1910, 1.1809, 1.1691, 1.1558, 1.1409,
                              1.1233, 1.1020, 1.0771, 1.0488, 1.0173
                          ],
                          [
                              1.2981, 1.2855, 1.2706, 1.2533, 1.2339, 1.2122,
                              1.1869, 1.1563, 1.1210, 1.0811, 1.0370
                          ],
                          [
                              1.4289, 1.4111, 1.3899, 1.3655, 1.3380, 1.3076,
                              1.2720, 1.2295, 1.1804, 1.1254, 1.0654
                          ],
                          [
                              1.5118, 1.4909, 1.4661, 1.4375, 1.4052, 1.3695,
                              1.3278, 1.2779, 1.2205, 1.1565, 1.0868
                          ],
                          [
                              1.6070, 1.5827, 1.5538, 1.5205, 1.4831, 1.4417,
                              1.3934, 1.3358, 1.2697, 1.1962, 1.1165
                          ],
                          [
                              1.7160, 1.6881, 1.6555, 1.6183, 1.5767, 1.5312,
                              1.4785, 1.4160, 1.3448, 1.2660, 1.1808
                          ],
                          [
                              1.8402, 1.8086, 1.7724, 1.7318, 1.6869, 1.6381,
                              1.5824, 1.5170, 1.4430, 1.3615, 1.2736
                          ],
                          [
                              1.9930, 1.9587, 1.9206, 1.8788, 1.8336, 1.7852,
                              1.7309, 1.6685, 1.5988, 1.5225, 1.4405
                          ],
                          [
                              2.1593, 2.1257, 2.0899, 2.0518, 2.0117, 1.9695,
                              1.9235, 1.8724, 1.8163, 1.7557, 1.6909
                          ],
                          [
                              2.2764, 2.2510, 2.2248, 2.1978, 2.1701, 2.1416,
                              2.1118, 2.0801, 2.0464, 2.0108, 1.9735
                          ],
                          [
                              2.3771, 2.3664, 2.3557, 2.3448, 2.3339, 2.3229,
                              2.3118, 2.3004, 2.2887, 2.2768, 2.2646
                          ],
                          [
                              2.4343, 2.4365, 2.4387, 2.4409, 2.4430, 2.4452,
                              2.4473, 2.4495, 2.4516, 2.4538, 2.4559
                          ]]])
Exemplo n.º 3
0
from pycycle.maps.map_data import MapData
"""Python version of CFM56 HPT map from NPSS"""

HPTmap = MapData()

# Map design point values
HPTmap.defaults = {}
HPTmap.defaults['alphaMap'] = 1.0
HPTmap.defaults['NpMap'] = 100.0
HPTmap.defaults['PRmap'] = 5.0
#effMapDes = 0.9276   # = effMap for no scaling

HPTmap.alphaMap = np.array([1.0, 2.0])
HPTmap.NpMap = np.array([60., 70.0, 80.0, 90.0, 100., 110.])
HPTmap.PRmap = np.array([
    3.000, 3.250, 3.500, 3.750, 4.000, 4.250, 4.500, 4.750, 5.000, 5.250,
    5.500, 5.750, 6.000, 6.250, 6.500, 6.750, 7.000, 7.250, 7.500, 8.000
])

HPTmap.effMap = np.array(
    [[[
        0.8460, 0.8405, 0.8349, 0.8296, 0.8249, 0.8206, 0.8165, 0.8127, 0.8092,
        0.8060, 0.8030, 0.8002, 0.7976, 0.7953, 0.7931, 0.7911, 0.7892, 0.7875,
        0.7858, 0.7826
    ],
      [
          0.8879, 0.8842, 0.8804, 0.8769, 0.8735, 0.8701, 0.8670, 0.8640,
          0.8614, 0.8590, 0.8568, 0.8548, 0.8529, 0.8511, 0.8495, 0.8479,
          0.8460, 0.8436, 0.8414, 0.8373
      ],
      [
          0.9125, 0.9111, 0.9096, 0.9078, 0.9055, 0.9034, 0.9014, 0.8995,
Exemplo n.º 4
0
from pycycle.maps.map_data import MapData
"""Python version of CFM56 LPT map from NPSS"""

LPTMap = MapData()

# Map design point values
LPTMap.defaults = {}
LPTMap.defaults['alphaMap'] = 1.0
LPTMap.defaults['NpMap'] = 100.0
LPTMap.defaults['PRmap'] = 6.0
#effMapDes = 0.9276   # = effMap for no scaling

LPTMap.alphaMap = np.array([1.0, 2.0])
LPTMap.NpMap = np.array([60., 70.0, 80.0, 90.0, 100., 110., 120.])
LPTMap.PRmap = np.array([
    3.00, 3.25, 3.5, 3.75, 4.0, 4.25, 4.5, 4.75, 5.0, 5.25, 5.5, 5.75, 6.0,
    6.25, 6.5, 6.75, 7.0, 7.25, 7.5, 8.0
])

LPTMap.effMap = np.array(
    [[[
        0.8560, 0.8532, 0.8497, 0.8463, 0.8432, 0.8402, 0.8371, 0.8341, 0.8313,
        0.8288, 0.8263, 0.8240, 0.8214, 0.8188, 0.8165, 0.8142, 0.8121, 0.8101,
        0.8082, 0.8046
    ],
      [
          0.8855, 0.8853, 0.8844, 0.8832, 0.8818, 0.8799, 0.8782, 0.8764,
          0.8748, 0.8726, 0.8703, 0.8682, 0.8661, 0.8642, 0.8624, 0.8606,
          0.8589, 0.8573, 0.8557, 0.8527
      ],
      [
          0.8983, 0.9012, 0.9030, 0.9042, 0.9043, 0.9042, 0.9039, 0.9035,
Exemplo n.º 5
0
  [.8385, .8532, .8643, .8715, .8745, .8728, .8664, .8552, .8387, .8163, .7873]]])

FanMap.PRmap = np.array([[[1.0546, 1.0558, 1.0553, 1.0532, 1.0494, 1.0440, 1.0372, 1.0290, 1.0196, 1.0089, 1.0000],
  [1.1002, 1.1010, 1.0994, 1.0955, 1.0892, 1.0807, 1.0702, 1.0578, 1.0436, 1.0278, 1.0102],
  [1.1593, 1.1606, 1.1584, 1.1527, 1.1434, 1.1307, 1.1149, 1.0964, 1.0753, 1.0517, 1.0258],
  [1.2313, 1.2363, 1.2353, 1.2283, 1.2154, 1.1968, 1.1730, 1.1449, 1.1125, 1.0764, 1.0366],
  [1.3042, 1.3232, 1.3306, 1.3261, 1.3100, 1.2825, 1.2450, 1.1992, 1.1457, 1.0854, 1.0193],
  [1.3479, 1.3775, 1.3917, 1.3901, 1.3728, 1.3402, 1.2944, 1.2376, 1.1708, 1.0956, 1.0133],
  [1.3935, 1.4356, 1.4581, 1.4602, 1.4420, 1.4040, 1.3488, 1.2797, 1.1982, 1.1065, 1.0068],
  [1.4654, 1.5127, 1.5381, 1.5409, 1.5209, 1.4789, 1.4178, 1.3413, 1.2513, 1.1501, 1.0406],
  [1.5830, 1.6221, 1.6408, 1.6386, 1.6155, 1.5723, 1.5116, 1.4367, 1.3492, 1.2512, 1.1448],
  [1.7258, 1.7494, 1.7565, 1.7469, 1.7208, 1.6787, 1.6229, 1.5555, 1.4778, 1.3912, 1.2969],
  [1.8381, 1.8472, 1.8432, 1.8260, 1.7960, 1.7537, 1.7006, 1.6386, 1.5684, 1.4910, 1.4073],
  [1.9316, 1.9312, 1.9197, 1.8973, 1.8642, 1.8209, 1.7687, 1.7091, 1.6427, 1.5702, 1.4923],
  [2.0237, 2.0149, 1.9970, 1.9704, 1.9352, 1.8918, 1.8414, 1.7850, 1.7231, 1.6562, 1.5848],
  [2.1043, 2.0885, 2.0659, 2.0366, 2.0008, 1.9588, 1.9114, 1.8595, 1.8033, 1.7433, 1.6797]],
  [[1.0546, 1.0558, 1.0553, 1.0532, 1.0494, 1.0440, 1.0372, 1.0290, 1.0196, 1.0089, 1.0000],
  [1.1002, 1.1010, 1.0994, 1.0955, 1.0892, 1.0807, 1.0702, 1.0578, 1.0436, 1.0278, 1.0102],
  [1.1593, 1.1606, 1.1584, 1.1527, 1.1434, 1.1307, 1.1149, 1.0964, 1.0753, 1.0517, 1.0258],
  [1.2313, 1.2363, 1.2353, 1.2283, 1.2154, 1.1968, 1.1730, 1.1449, 1.1125, 1.0764, 1.0366],
  [1.3042, 1.3232, 1.3306, 1.3261, 1.3100, 1.2825, 1.2450, 1.1992, 1.1457, 1.0854, 1.0193],
  [1.3479, 1.3775, 1.3917, 1.3901, 1.3728, 1.3402, 1.2944, 1.2376, 1.1708, 1.0956, 1.0133],
  [1.3935, 1.4356, 1.4581, 1.4602, 1.4420, 1.4040, 1.3488, 1.2797, 1.1982, 1.1065, 1.0068],
  [1.4654, 1.5127, 1.5381, 1.5409, 1.5209, 1.4789, 1.4178, 1.3413, 1.2513, 1.1501, 1.0406],
  [1.5830, 1.6221, 1.6408, 1.6386, 1.6155, 1.5723, 1.5116, 1.4367, 1.3492, 1.2512, 1.1448],
  [1.7258, 1.7494, 1.7565, 1.7469, 1.7208, 1.6787, 1.6229, 1.5555, 1.4778, 1.3912, 1.2969],
  [1.8381, 1.8472, 1.8432, 1.8260, 1.7960, 1.7537, 1.7006, 1.6386, 1.5684, 1.4910, 1.4073],
  [1.9316, 1.9312, 1.9197, 1.8973, 1.8642, 1.8209, 1.7687, 1.7091, 1.6427, 1.5702, 1.4923],
  [2.0237, 2.0149, 1.9970, 1.9704, 1.9352, 1.8918, 1.8414, 1.7850, 1.7231, 1.6562, 1.5848],
  [2.1043, 2.0885, 2.0659, 2.0366, 2.0008, 1.9588, 1.9114, 1.8595, 1.8033, 1.7433, 1.6797]]])

#FanMap.Nc_data, FanMap.alpha_data, FanMap.Rline_data = np.meshgrid(FanMap.Nc_vals, FanMap.alpha_vals, FanMap.Rline_vals, sparse=False)
Exemplo n.º 6
0
      [0.8267, 0.8319, 0.8353, 0.8370, 0.8368, 0.8346, 0.8299, 0.8222, 0.8113],
      [0.8180, 0.8199, 0.8209, 0.8208, 0.8197, 0.8176, 0.8141, 0.8091,
       0.8024]]])

AXI5.PRmap = np.array(
    [[[1.2763, 1.2720, 1.2629, 1.2490, 1.2306, 1.2076, 1.1796, 1.1460, 1.1072],
      [1.4620, 1.4520, 1.4364, 1.4152, 1.3888, 1.3573, 1.3201, 1.2766, 1.2274],
      [1.7279, 1.7111, 1.6871, 1.6561, 1.6185, 1.5747, 1.5237, 1.4651, 1.3995],
      [2.1250, 2.1062, 2.0723, 2.0239, 1.9616, 1.8865, 1.7973, 1.6934, 1.5771],
      [2.8737, 2.8679, 2.8280, 2.7549, 2.6505, 2.5175, 2.3541, 2.1604, 1.9432],
      [4.1211, 4.2350, 4.2502, 4.1658, 3.9861, 3.7202, 3.3667, 2.9333, 2.4492],
      [4.8577, 5.0260, 5.0648, 4.9720, 4.7525, 4.4188, 3.9702, 3.4187, 2.8058],
      [5.9603, 5.8925, 5.7804, 5.6258, 5.4313, 5.2000, 4.9289, 4.6166, 4.2701],
      [6.2935, 6.1874, 6.0632, 5.9218, 5.7642, 5.5914, 5.4014, 5.1930, 4.9678],
      [6.4390, 6.3324, 6.2162, 6.0908, 5.9568, 5.8145, 5.6627, 5.5004,
       5.3284]],
     [[1.7567, 1.7543, 1.7358, 1.7016, 1.6524, 1.5890, 1.5103, 1.4157, 1.3078],
      [2.4783, 2.4610, 2.4214, 2.3602, 2.2787, 2.1784, 2.0579, 1.9167, 1.7585],
      [2.9457, 2.9160, 2.8640, 2.7907, 2.6972, 2.5851, 2.4528, 2.2995, 2.1288],
      [3.4221, 3.4045, 3.3514, 3.2639, 3.1441, 2.9945, 2.8132, 2.5998, 2.3609],
      [4.0790, 4.0961, 4.0527, 3.9500, 3.7915, 3.5820, 3.3193, 3.0047, 2.6517],
      [4.8443, 5.0097, 5.0468, 4.9535, 4.7350, 4.4035, 3.9581, 3.4109, 2.8024],
      [5.2659, 5.4656, 5.5180, 5.4201, 5.1776, 4.8046, 4.3011, 3.6821, 2.9960],
      [5.9603, 5.8925, 5.7804, 5.6258, 5.4313, 5.2000, 4.9289, 4.6166, 4.2701],
      [6.2935, 6.1874, 6.0632, 5.9218, 5.7642, 5.5914, 5.4014, 5.1930, 4.9678],
      [6.4390, 6.3324, 6.2162, 6.0908, 5.9568, 5.8145, 5.6627, 5.5004,
       5.3284]]])

AXI5.units = {}
AXI5.units['NcMap'] = 'rpm'
AXI5.units['WcMap'] = 'lbm/s'
Exemplo n.º 7
0
HPCmap.PRmap = np.array(
    [[[
        2.4769, 2.4288, 2.3620, 2.2778, 2.1774, 2.0627, 1.9284, 1.7711, 1.5958,
        1.4083, 1.2146
    ],
      [
          3.4633, 3.3778, 3.2643, 3.1248, 2.9619, 2.7787, 2.5679, 2.3253,
          2.0595, 1.7802, 1.4973
      ],
      [
          5.0821, 4.9375, 4.7554, 4.5391, 4.2923, 4.0194, 3.7106, 3.3602,
          2.9800, 2.5826, 2.1813
      ],
      [
          6.3490, 6.1658, 5.9371, 5.6667, 5.3594, 5.0204, 4.6377, 4.2042,
          3.7342, 3.2431, 2.7467
      ],
      [
          8.0021, 7.7686, 7.4792, 7.1388, 6.7532, 6.3287, 5.8504, 5.3097,
          4.7237, 4.1114, 3.4919
      ],
      [
          10.4899, 10.1976, 9.8249, 9.3786, 8.8669, 8.2989, 7.6539, 6.9201,
          6.1229, 5.2899, 4.4495
      ],
      [
          14.4564, 14.0970, 13.6074, 12.9977, 12.2808, 11.4715, 10.5377,
          9.4621, 8.2878, 7.0614, 5.8306
      ],
      [
          17.4426, 17.0500, 16.4870, 15.7661, 14.9034, 13.9183, 12.7692,
          11.4347, 9.9718, 8.4425, 6.9104
      ],
      [
          20.7403, 20.2486, 19.6093, 18.8329, 17.9324, 16.9227, 15.7626,
          14.4263, 12.9562, 11.3983, 9.8011
      ],
      [
          23.8298, 23.2601, 22.5536, 21.7200, 20.7705, 19.7178, 18.5212,
          17.1524, 15.6466, 14.0424, 12.3810
      ],
      [
          26.6962, 26.0933, 25.4175, 24.6733, 23.8656, 22.9999, 22.0495,
          20.9930, 19.8436, 18.6163, 17.3267
      ],
      [
          27.6439, 27.0687, 26.4522, 25.7969, 25.1052, 24.3798, 23.6033,
          22.7614, 21.8600, 20.9058, 19.9057
      ],
      [
          28.4663, 27.9667, 27.4460, 26.9054, 26.3460, 25.7690, 25.1640,
          24.5225, 23.8472, 23.1399, 22.4038
      ]],
     [[
         5.5200, 5.4081, 5.2155, 4.9486, 4.6162, 4.2292, 3.7722, 3.2417,
         2.6710, 2.0954, 1.5493
     ],
      [
          7.5640, 7.3974, 7.1268, 6.7607, 6.3104, 5.7900, 5.1790, 4.4722,
          3.7116, 2.9418, 2.2066
      ],
      [
          10.2643, 10.0087, 9.6410, 9.1703, 8.6086, 7.9699, 7.2293, 6.3765,
          5.4525, 4.5013, 3.5672
      ],
      [
          12.0520, 11.7493, 11.3275, 10.7965, 10.1683, 9.4573, 8.6354, 7.6892,
          6.6601, 5.5926, 4.5321
      ],
      [
          14.2753, 13.9203, 13.4356, 12.8317, 12.1210, 11.3187, 10.3925,
          9.3260, 8.1618, 6.9465, 5.7278
      ],
      [
          16.9112, 16.5159, 15.9649, 15.2698, 14.4454, 13.5091, 12.4221,
          11.1638, 9.7852, 8.3414, 6.8896
      ],
      [
          20.7368, 20.3081, 19.6692, 18.8350, 17.8246, 16.6613, 15.2936,
          13.6955, 11.9366, 10.0936, 8.2454
      ],
      [
          22.5680, 22.1257, 21.4443, 20.5401, 19.4347, 18.1546, 16.6421,
          14.8683, 12.9140, 10.8676, 8.8203
      ],
      [
          24.1283, 23.5795, 22.8503, 21.9531, 20.9035, 19.7197, 18.3522,
          16.7697, 15.0246, 13.1743, 11.2785
      ],
      [
          25.7180, 25.1128, 24.3564, 23.4593, 22.4338, 21.2942, 19.9953,
          18.5065, 16.8666, 15.1186, 13.3083
      ],
      [
          26.6962, 26.0933, 25.4175, 24.6733, 23.8656, 22.9999, 22.0495,
          20.9930, 19.8436, 18.6163, 17.3267
      ],
      [
          27.6439, 27.0687, 26.4522, 25.7969, 25.1052, 24.3798, 23.6033,
          22.7614, 21.8600, 20.9058, 19.9057
      ],
      [
          28.4663, 27.9667, 27.4460, 26.9054, 26.3460, 25.7690, 25.1640,
          24.5225, 23.8472, 23.1399, 22.4038
      ]]])
Exemplo n.º 8
0
  [0.7365, 0.8231, 0.8912, 0.9358, 0.9495, 0.9234, 0.8439, 0.7726, 0.6863, 0.5806, 0.5470, 0.3126],
  [0.7802, 0.8461, 0.8979, 0.9324, 0.9457, 0.9331, 0.8953, 0.8751, 0.8429, 0.8052, 0.7936, 0.7198],
  [0.7988, 0.8546, 0.8985, 0.9282, 0.9407, 0.9332, 0.9106, 0.8999, 0.8820, 0.8610, 0.8546, 0.8143],
  [0.8147, 0.8607, 0.8969, 0.9218, 0.9332, 0.9295, 0.9165, 0.9122, 0.9037, 0.8931, 0.8899, 0.8694],
  [0.8266, 0.8637, 0.8931, 0.9136, 0.9239, 0.9230, 0.9153, 0.9150, 0.9123, 0.9080, 0.9066, 0.8974],
  [0.8343, 0.8637, 0.8870, 0.9036, 0.9127, 0.9136, 0.9086, 0.9106, 0.9113, 0.9106, 0.9103, 0.9075]]])

FanMap.PRmap = np.array([[[1.0760, 1.0811, 1.0799, 1.0724, 1.0588, 1.0394, 1.0146, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000],
  [1.1171, 1.1214, 1.1186, 1.1085, 1.0914, 1.0676, 1.0379, 1.0024, 1.0000, 1.0000, 1.0000, 1.0000],
  [1.1703, 1.1730, 1.1682, 1.1559, 1.1363, 1.1100, 1.0776, 1.0414, 1.0133, 1.0003, 1.0003, 1.0003],
  [1.2381, 1.2386, 1.2320, 1.2185, 1.1981, 1.1715, 1.1390, 1.1094, 1.0814, 1.0582, 1.0523, 1.0222],
  [1.3234, 1.3215, 1.3138, 1.3004, 1.2814, 1.2572, 1.2282, 1.2039, 1.1789, 1.1584, 1.1531, 1.1265],
  [1.3734, 1.3703, 1.3624, 1.3497, 1.3323, 1.3104, 1.2845, 1.2628, 1.2404, 1.2221, 1.2174, 1.1937],
  [1.4288, 1.4250, 1.4172, 1.4055, 1.3900, 1.3709, 1.3484, 1.3284, 1.3090, 1.2931, 1.2891, 1.2686],
  [1.4898, 1.4854, 1.4780, 1.4677, 1.4545, 1.4386, 1.4201, 1.4022, 1.3862, 1.3731, 1.3698, 1.3530],
  [1.5553, 1.5507, 1.5441, 1.5356, 1.5251, 1.5128, 1.4988, 1.4831, 1.4708, 1.4608, 1.4583, 1.4455]],
  [[1.0677, 1.0776, 1.0807, 1.0769, 1.0662, 1.0490, 1.0259, 1.0006, 1.0006, 1.0006, 1.0006, 1.0006],
  [1.1061, 1.1167, 1.1192, 1.1135, 1.0996, 1.0781, 1.0496, 1.0144, 1.0001, 1.0001, 1.0001, 1.0001],
  [1.1560, 1.1661, 1.1673, 1.1595, 1.1430, 1.1181, 1.0858, 1.0492, 1.0236, 1.0022, 1.0004, 1.0004],
  [1.2188, 1.2274, 1.2269, 1.2173, 1.1989, 1.1722, 1.1379, 1.1090, 1.0818, 1.0591, 1.0534, 1.0239],
  [1.2966, 1.3028, 1.3005, 1.2898, 1.2707, 1.2439, 1.2118, 1.1859, 1.1590, 1.1368, 1.1311, 1.1022],
  [1.3418, 1.3465, 1.3433, 1.3322, 1.3134, 1.2875, 1.2576, 1.2326, 1.2067, 1.1853, 1.1799, 1.1522],
  [1.3913, 1.3943, 1.3902, 1.3790, 1.3610, 1.3364, 1.3089, 1.2854, 1.2610, 1.2410, 1.2359, 1.2100],
  [1.4454, 1.4468, 1.4420, 1.4310, 1.4140, 1.3912, 1.3658, 1.3441, 1.3218, 1.3034, 1.2987, 1.2751],
  [1.5044, 1.5044, 1.4991, 1.4886, 1.4728, 1.4523, 1.4287, 1.4091, 1.3890, 1.3725, 1.3683, 1.3471]]])

#FanMap.Nc_data, FanMap.alpha_data, FanMap.Rline_data = np.meshgrid(FanMap.Nc_vals, FanMap.alpha_vals, FanMap.Rline_vals, sparse=False)
FanMap.Npts = FanMap.NcMap.size

FanMap.units = {}
FanMap.units['NcMap'] = 'rpm'
FanMap.units['WcMap'] = 'lbm/s'
Exemplo n.º 9
0
  [.7363, .7361, .7359, .7357, .7355, .7353, .7351, .7348, .7346, .7344, .7342]]])

HPCMap.PRmap = np.array([[[ 1.6474,  1.6178,  1.5830,  1.5432,  1.4988,  1.4501,  1.3958,  1.3350,  1.2684,  1.1967,  1.1210],
  [ 2.0524,  2.0061,  1.9528,  1.8928,  1.8267,  1.7549,  1.6760,  1.5887,  1.4942,  1.3937,  1.2887],
  [ 2.6917,  2.6224,  2.5441,  2.4574,  2.3630,  2.2618,  2.1517,  2.0312,  1.9020,  1.7659,  1.6247],
  [ 3.1844,  3.0989,  3.0017,  2.8938,  2.7763,  2.6501,  2.5128,  2.3625,  2.2016,  2.0325,  1.8576],
  [ 3.9146,  3.8061,  3.6811,  3.5412,  3.3876,  3.2221,  3.0412,  2.8428,  2.6301,  2.4070,  2.1770],
  [ 5.2748,  5.1343,  4.9640,  4.7661,  4.5434,  4.2989,  4.0272,  3.7250,  3.3991,  3.0567,  2.7054],
  [ 7.2269,  7.0482,  6.8214,  6.5500,  6.2382,  5.8909,  5.4999,  5.0605,  4.5840,  4.0826,  3.5692],
  [ 8.4539,  8.2523,  7.9945,  7.6844,  7.3269,  6.9275,  6.4764,  5.9681,  5.4154,  4.8326,  4.2344],
  [ 9.7989,  9.5666,  9.2844,  8.9557,  8.5845,  8.1752,  7.7182,  7.2068,  6.6512,  6.0625,  5.4522],
  [11.0964, 10.8394, 10.5411, 10.2040,  9.8313,  9.4263,  8.9800,  8.4856,  7.9504,  7.3823,  6.7898],
  [12.3279, 12.0811, 11.8131, 11.5251, 11.2183, 10.8940, 10.5466, 10.1712,  9.7705,  9.3472,  8.9045],
  [12.8281, 12.6098, 12.3814, 12.1431, 11.8957, 11.6395, 11.3715, 11.0885, 10.7917, 10.4821, 10.1607],
  [13.2984, 13.1308, 12.9593, 12.7839, 12.6048, 12.4222, 12.2345, 12.0405, 11.8404, 11.6343, 11.4228],
  [13.9406, 13.9123, 13.8840, 13.8556, 13.8272, 13.7988, 13.7703, 13.7417, 13.7130, 13.6842, 13.6554]],
  [[ 3.2456,  3.1584,  3.0490,  2.9191,  2.7709,  2.6066,  2.4228,  2.2175,  1.9961,  1.7647,  1.5293],
  [ 4.0747,  3.9616,  3.8233,  3.6619,  3.4798,  3.2796,  3.0571,  2.8099,  2.5440,  2.2658,  1.9823],
  [ 4.9841,  4.8498,  4.6905,  4.5081,  4.3049,  4.0832,  3.8384,  3.5674,  3.2756,  2.9689,  2.6534],
  [ 5.6533,  5.5043,  5.3270,  5.1237,  4.8968,  4.6490,  4.3749,  4.0710,  3.7434,  3.3985,  3.0431],
  [ 6.6069,  6.4375,  6.2327,  5.9950,  5.7277,  5.4339,  5.1073,  4.7434,  4.3501,  3.9355,  3.5084],
  [ 8.1407,  7.9453,  7.6950,  7.3939,  7.0466,  6.6587,  6.2206,  5.7270,  5.1907,  4.6255,  4.0459],
  [ 9.9036,  9.6826,  9.3874,  9.0231,  8.5960,  8.1135,  7.5633,  6.9385,  6.2570,  5.5381,  4.8019],
  [10.6503, 10.4133, 10.0994,  9.7137,  9.2627,  8.7539,  8.1744,  7.5166,  6.7986,  6.0402,  5.2618],
  [11.3117, 11.0497, 10.7272, 10.3482,  9.9174,  9.4403,  8.9052,  8.3043,  7.6502,  6.9563,  6.2370],
  [11.9341, 11.6599, 11.3401, 10.9776, 10.5759, 10.1384,  9.6555,  9.1197,  8.5390,  7.9223,  7.2789],
  [12.3279, 12.0811, 11.8131, 11.5251, 11.2183, 10.8940, 10.5466, 10.1712,  9.7705,  9.3472,  8.9045],
  [12.8281, 12.6098, 12.3814, 12.1431, 11.8957, 11.6395, 11.3715, 11.0885, 10.7917, 10.4821, 10.1607],
  [13.2984, 13.1308, 12.9593, 12.7839, 12.6048, 12.4222, 12.2345, 12.0405, 11.8404, 11.6343, 11.4228],
  [13.9406, 13.9123, 13.8840, 13.8556, 13.8272, 13.7988, 13.7703, 13.7417, 13.7130, 13.6842, 13.6554]]])

#HPCMap.Nc_data, HPCMap.alpha_data, HPCMap.Rline_data = np.meshgrid(HPCMap.Nc_vals, HPCMap.alpha_vals, HPCMap.Rline_vals, sparse=False)
     [.7715, .7730, .7731, .7719, .7692, .7649, .7589, .7509, .7407]]
])

FanMap.PRmap = np.array([
    # alpha = 0
    [[1.2392, 1.2346, 1.2248, 1.2101, 1.1905, 1.1662, 1.1371, 1.1032, 1.0647],
     [1.3794, 1.3719, 1.3569, 1.3347, 1.3054, 1.2694, 1.2266, 1.1770, 1.1214],
     [1.5656, 1.5562, 1.5350, 1.5025, 1.4590, 1.4053, 1.3416, 1.2681, 1.1862],
     [1.8170, 1.8091, 1.7817, 1.7354, 1.6714, 1.5910, 1.4949, 1.3843, 1.2621],
     [2.2149, 2.2163, 2.1845, 2.1206, 2.0266, 1.9055, 1.7590, 1.5904, 1.4058],
     [2.8873, 2.8815, 2.8328, 2.7427, 2.6143, 2.4515, 2.2569, 2.0345, 1.7927],
     [3.3633, 3.3295, 3.2578, 3.1500, 3.0087, 2.8376, 2.6382, 2.4136, 2.1703],
     [3.8693, 3.7957, 3.7006, 3.5853, 3.4512, 3.3000, 3.1322, 2.9486, 2.7520],
     [4.0332, 3.9463, 3.8459, 3.7328, 3.6079, 3.4722, 3.3258, 3.1690, 3.0032],
     [4.1547, 4.0696, 3.9778, 3.8797, 3.7757, 3.6662, 3.5511, 3.4304, 3.3047]],

    # alpha = 90
    [[1.3687, 1.3648, 1.3518, 1.3299, 1.2994, 1.2608, 1.2139, 1.1589, 1.0967],
     [1.6016, 1.5941, 1.5729, 1.5382, 1.4908, 1.4316, 1.3607, 1.2786, 1.1871],
     [1.9488, 1.9415, 1.9111, 1.8585, 1.7850, 1.6925, 1.5818, 1.4546, 1.3145],
     [2.5922, 2.6002, 2.5644, 2.4863, 2.3685, 2.2155, 2.0298, 1.8163, 1.5836],
     [2.9255, 2.9501, 2.9173, 2.8286, 2.6876, 2.5001, 2.2705, 2.0057, 1.7184],
     [3.3808, 3.3806, 3.3250, 3.2160, 3.0573, 2.8546, 2.6115, 2.3341, 2.0335],
     [3.6271, 3.5896, 3.5101, 3.3907, 3.2344, 3.0451, 2.8250, 2.5775, 2.3098],
     [3.8693, 3.7957, 3.7006, 3.5853, 3.4512, 3.3000, 3.1322, 2.9486, 2.7520],
     [4.0332, 3.9463, 3.8459, 3.7328, 3.6079, 3.4722, 3.3258, 3.1690, 3.0032],
     [4.1547, 4.0696, 3.9778, 3.8797, 3.7757, 3.6662, 3.5511, 3.4304, 3.3047]]
])

#FanMap.Nc_data, FanMap.alpha_data, FanMap.Rline_data = np.meshgrid(FanMap.Nc_vals, FanMap.alpha_vals, FanMap.Rline_vals, sparse=False)
FanMap.Npts = FanMap.NcMap.size
HPCmap.PRmap = np.array([
    # alpha = 0
    [[1.3725, 1.3602, 1.3429, 1.3207, 1.2937, 1.2622, 1.2251, 1.1813, 1.1315],
     [1.6499, 1.6306, 1.6019, 1.5643, 1.5180, 1.4638, 1.3999, 1.3249, 1.2403],
     [2.0580, 2.0234, 1.9786, 1.9241, 1.8606, 1.7887, 1.7066, 1.6129, 1.5092],
     [2.6967, 2.6432, 2.5756, 2.4945, 2.4011, 2.2964, 2.1780, 2.0440, 1.8971],
     [3.8276, 3.7494, 3.6446, 3.5151, 3.3627, 3.1899, 2.9927, 2.7685, 2.5230],
     [6.7288, 6.6896, 6.5504, 6.3158, 5.9932, 5.5931, 5.1045, 4.5256, 3.8863],
     [8.8146, 8.7396, 8.5522, 8.2575, 7.8638, 7.3820, 6.7981, 6.1079, 5.3418],
     [
         10.8289, 10.6278, 10.3710, 10.0616, 9.7032, 9.3000, 8.8419, 8.3216,
         7.7489
     ],
     [
         11.5357, 11.3125, 11.0678, 10.8026, 10.5182, 10.2159, 9.8906, 9.5378,
         9.1603
     ],
     [
         11.7842, 11.5735, 11.3514, 11.1184, 10.8752, 10.6223, 10.3566,
         10.0753, 9.7796
     ]],

    # alpha = 90
    [[2.1099, 2.0825, 2.0372, 1.9750, 1.8969, 1.8046, 1.6950, 1.5667, 1.4234],
     [3.2852, 3.2475, 3.1672, 3.0466, 2.8892, 2.6994, 2.4724, 2.2070, 1.9153],
     [4.0060, 3.9338, 3.8256, 3.6837, 3.5108, 3.3105, 3.0777, 2.8102, 2.5165],
     [4.8507, 4.7604, 4.6321, 4.4682, 4.2714, 4.0454, 3.7844, 3.4853, 3.1565],
     [6.2086, 6.1065, 5.9499, 5.7419, 5.4865, 5.1887, 4.8407, 4.4384, 3.9944],
     [8.7741, 8.7659, 8.6123, 8.3188, 7.8958, 7.3584, 6.6911, 5.8929, 5.0090],
     [9.8873, 9.8172, 9.6146, 9.2853, 8.8391, 8.2889, 7.6185, 6.8237, 5.9411],
     [
         10.8289, 10.6278, 10.3710, 10.0616, 9.7032, 9.3000, 8.8419, 8.3216,
         7.7489
     ],
     [
         11.5357, 11.3125, 11.0678, 10.8026, 10.5182, 10.2159, 9.8906, 9.5378,
         9.1603
     ],
     [
         11.7842, 11.5735, 11.3514, 11.1184, 10.8752, 10.6223, 10.3566,
         10.0753, 9.7796
     ]]
])
Exemplo n.º 12
0
AXI3_2.PRmap = np.array([[[1.2111, 1.2157, 1.2145, 1.2078, 1.1954, 1.1775, 1.1539, 1.1246, 1.0898],
                          [1.3489, 1.3505, 1.3454, 1.3336, 1.3153,
                              1.2907, 1.2596, 1.2219, 1.1781],
                          [1.5300, 1.5360, 1.5306, 1.5139, 1.4861,
                              1.4477, 1.3986, 1.3389, 1.2696],
                          [1.7787, 1.8068, 1.8112, 1.7918, 1.7493,
                              1.6847, 1.5984, 1.4916, 1.3678],
                          [2.1243, 2.2036, 2.2368, 2.2224, 2.1611,
                              2.0556, 1.9080, 1.7227, 1.5092],
                          [2.4235, 2.6404, 2.7664, 2.7917, 2.7142,
                              2.5400, 2.2769, 1.9416, 1.5639],
                          [2.8688, 3.0534, 3.1474, 3.1445, 3.0451,
                              2.8555, 2.5827, 2.2406, 1.8550],
                          [3.5470, 3.5566, 3.5254, 3.4543, 3.3449,
                              3.2000, 3.0207, 2.8093, 2.5717],
                          [3.7752, 3.7298, 3.6683, 3.5912, 3.4994,
                              3.3935, 3.2737, 3.1402, 2.9944],
                          [3.8744, 3.8211, 3.7601, 3.6915, 3.6159, 3.5334, 3.4440, 3.3476, 3.2447]],
                         [[1.4770, 1.4966, 1.5005, 1.4884, 1.4607, 1.4180, 1.3603, 1.2879, 1.2028],
                          [1.9042, 1.9205, 1.9158, 1.8903, 1.8445,
                              1.7795, 1.6956, 1.5935, 1.4760],
                          [2.1812, 2.2081, 2.2062, 2.1756, 2.1170,
                              2.0322, 1.9216, 1.7871, 1.6327],
                          [2.3966, 2.4656, 2.4877, 2.4620, 2.3896,
                              2.2735, 2.1155, 1.9199, 1.6959],
                          [2.5861, 2.7183, 2.7803, 2.7686, 2.6839,
                              2.5309, 2.3141, 2.0425, 1.7336],
                          [2.6763, 2.9474, 3.1087, 3.1461, 3.0564,
                              2.8474, 2.5297, 2.1261, 1.6760],
                          [3.0338, 3.2416, 3.3490, 3.3485, 3.2401,
                              3.0314, 2.7305, 2.3538, 1.9309],
                          [3.5470, 3.5566, 3.5254, 3.4543, 3.3449,
                              3.2000, 3.0207, 2.8093, 2.5717],
                          [3.7752, 3.7298, 3.6683, 3.5912, 3.4994,
                              3.3935, 3.2737, 3.1402, 2.9944],
                          [3.8744, 3.8211, 3.7601, 3.6915, 3.6159, 3.5334, 3.4440, 3.3476, 3.2447]]])
Exemplo n.º 13
0
NCP01.PRmap = np.array([[[
    1.1119, 1.1119, 1.1098, 1.1058, 1.0998, 1.0919, 1.0822, 1.0711, 1.0586,
    1.0446, 1.0292, 1.0125
],
                         [
                             1.1622, 1.1638, 1.1621, 1.1570, 1.1487, 1.1372,
                             1.1228, 1.1060, 1.0869, 1.0655, 1.0420, 1.0164
                         ],
                         [
                             1.2172, 1.2249, 1.2266, 1.2221, 1.2115, 1.1950,
                             1.1733, 1.1471, 1.1168, 1.0825, 1.0447, 1.0035
                         ],
                         [
                             1.2858, 1.3036, 1.3114, 1.3090, 1.2965, 1.2742,
                             1.2433, 1.2052, 1.1606, 1.1099, 1.0537, 1.0000
                         ],
                         [
                             1.3350, 1.3543, 1.3628, 1.3603, 1.3467, 1.3224,
                             1.2887, 1.2474, 1.1988, 1.1438, 1.0830, 1.0174
                         ],
                         [
                             1.4075, 1.4214, 1.4258, 1.4204, 1.4055, 1.3813,
                             1.3489, 1.3098, 1.2643, 1.2131, 1.1567, 1.0957
                         ],
                         [
                             1.4915, 1.4971, 1.4955, 1.4869, 1.4712, 1.4487,
                             1.4202, 1.3867, 1.3485, 1.3058, 1.2591, 1.2086
                         ],
                         [
                             1.5579, 1.5567, 1.5503, 1.5386, 1.5218, 1.5000,
                             1.4738, 1.4439, 1.4106, 1.3739, 1.3341, 1.2914
                         ],
                         [
                             1.6184, 1.6123, 1.6024, 1.5888, 1.5717, 1.5510,
                             1.5273, 1.5010, 1.4722, 1.4410, 1.4076, 1.3720
                         ],
                         [
                             1.6748, 1.6655, 1.6538, 1.6399, 1.6238, 1.6054,
                             1.5852, 1.5633, 1.5399, 1.5150, 1.4886, 1.4608
                         ],
                         [
                             1.7224, 1.7122, 1.7008, 1.6882, 1.6744, 1.6595,
                             1.6434, 1.6266, 1.6089, 1.5904, 1.5711, 1.5510
                         ]],
                        [[
                            1.1119, 1.1119, 1.1098, 1.1058, 1.0998, 1.0919,
                            1.0822, 1.0711, 1.0586, 1.0446, 1.0292, 1.0125
                        ],
                         [
                             1.1622, 1.1638, 1.1621, 1.1570, 1.1487, 1.1372,
                             1.1228, 1.1060, 1.0869, 1.0655, 1.0420, 1.0164
                         ],
                         [
                             1.2172, 1.2249, 1.2266, 1.2221, 1.2115, 1.1950,
                             1.1733, 1.1471, 1.1168, 1.0825, 1.0447, 1.0035
                         ],
                         [
                             1.2858, 1.3036, 1.3114, 1.3090, 1.2965, 1.2742,
                             1.2433, 1.2052, 1.1606, 1.1099, 1.0537, 1.0000
                         ],
                         [
                             1.3350, 1.3543, 1.3628, 1.3603, 1.3467, 1.3224,
                             1.2887, 1.2474, 1.1988, 1.1438, 1.0830, 1.0174
                         ],
                         [
                             1.4075, 1.4214, 1.4258, 1.4204, 1.4055, 1.3813,
                             1.3489, 1.3098, 1.2643, 1.2131, 1.1567, 1.0957
                         ],
                         [
                             1.4915, 1.4971, 1.4955, 1.4869, 1.4712, 1.4487,
                             1.4202, 1.3867, 1.3485, 1.3058, 1.2591, 1.2086
                         ],
                         [
                             1.5579, 1.5567, 1.5503, 1.5386, 1.5218, 1.5000,
                             1.4738, 1.4439, 1.4106, 1.3739, 1.3341, 1.2914
                         ],
                         [
                             1.6184, 1.6123, 1.6024, 1.5888, 1.5717, 1.5510,
                             1.5273, 1.5010, 1.4722, 1.4410, 1.4076, 1.3720
                         ],
                         [
                             1.6748, 1.6655, 1.6538, 1.6399, 1.6238, 1.6054,
                             1.5852, 1.5633, 1.5399, 1.5150, 1.4886, 1.4608
                         ],
                         [
                             1.7224, 1.7122, 1.7008, 1.6882, 1.6744, 1.6595,
                             1.6434, 1.6266, 1.6089, 1.5904, 1.5711, 1.5510
                         ]]])