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Added min and max rows to LFOM expert inputs #280

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14 changes: 11 additions & 3 deletions aguaclara/design/lfom.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,8 +3,9 @@
water level within the entrance tank.

Example:
>>> from aguaclara.design.lfom import *
>>> lfom = LFOM(q = 20 * u.L / u.s, hl = 20 * u.cm)
>>> from aguaclara.core.units import u
>>> from aguaclara.design.lfom import LFOM
>>> lfom = LFOM(q=20 * u.L / u.s, hl=20 * u.cm)
>>> lfom.row_n
6
"""
Expand Down Expand Up @@ -34,13 +35,19 @@ class LFOM(Component):
(optional)
- ``orifice_s (float * u.cm)``: The spacing between orifices (optional,
defaults to 0.5cm)
- ``min_row_n (int)``: Minimum number of rows of orifices (optional,
defaults to 4)
- ``max_row_n (int)``: Maximum number of rows of orifices (optional,
defaults to 10)
"""
def __init__(self, **kwargs):
self.hl = 20.0 * u.cm
self.safety_factor = 1.5
self.sdr = 26.0
self.drill_bits = drills.DRILL_BITS_D_IMPERIAL
self.orifice_s = 0.5 * u.cm
self.min_row_n = 4
self.max_row_n = 10

super().__init__(**kwargs)

Expand All @@ -59,7 +66,8 @@ def row_n(self):
""" The number of rows."""
N_estimated = (self.hl * np.pi / (2 * self.stout_w_per_flow(self.hl) * \
self.q)).to(u.dimensionless)
row_n = min(10, max(4, math.trunc(N_estimated.magnitude)))
row_n = min(self.max_row_n,
max(self.min_row_n, math.trunc(N_estimated.magnitude)))
return row_n

@property
Expand Down
2 changes: 1 addition & 1 deletion setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

setup(
name = 'aguaclara',
version = '0.2.4',
version = '0.2.5',
description = (
'An open-source Python package for designing and performing research '
'on AguaClara water treatment plants.'
Expand Down
32 changes: 24 additions & 8 deletions tests/design/test_lfom.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,50 +6,66 @@

lfom_20 = LFOM(q = 20.0 * u.L / u.s)
lfom_60 = LFOM(q = 60.0 * u.L / u.s)
lfom_60_5_rows = LFOM(q=60 * u.L / u.s, min_row_n=5)


@pytest.mark.parametrize('actual, expected', [
(lfom_20.stout_w_per_flow(10 * u.cm) , 3.6077317813933907 * u.s / u.m ** 2), # 0
(lfom_60.stout_w_per_flow(10 * u.cm) , 3.6077317813933907 * u.s / u.m ** 2),
(lfom_60_5_rows.stout_w_per_flow(10 * u.cm) , 3.6077317813933907 * u.s / u.m ** 2),

(lfom_20.row_n, 6),
(lfom_60.row_n, 4),
(lfom_60_5_rows.row_n, 5), # 5

(lfom_20.row_b.to(u.m), 0.03333333333333333 * u.m),
(lfom_60.row_b.to(u.m), 0.05 * u.m), # 5
(lfom_60.row_b.to(u.m), 0.05 * u.m),
(lfom_60_5_rows.row_b.to(u.m), 0.04 * u.m),

(lfom_20.vel_critical.to(u.m/u.s), 0.8405802802312778 * u.m/u.s),
(lfom_60.vel_critical.to(u.m/u.s), 0.8405802802312778 * u.m/u.s),
(lfom_60.vel_critical.to(u.m/u.s), 0.8405802802312778 * u.m/u.s), # 10
(lfom_60_5_rows.vel_critical.to(u.m/u.s), 0.8405802802312778 * u.m/u.s),

(lfom_20.pipe_a_min.to(u.m**2), 0.035689630967485675 * u.m**2),
(lfom_60.pipe_a_min.to(u.m**2), 0.10706889290245702 * u.m**2),
(lfom_60_5_rows.pipe_a_min.to(u.m**2), 0.107068893 * u.m**2),

(lfom_20.pipe_nd.to(u.inch), 10.0 * u.inch), # 10
(lfom_20.pipe_nd.to(u.inch), 10.0 * u.inch), # 15
(lfom_60.pipe_nd.to(u.inch), 16.0 * u.inch),
(lfom_60_5_rows.pipe_nd.to(u.inch), 16.0 * u.inch),

(lfom_20.top_row_orifice_a.to(u.m**2), 0.0017763243361009463 * u.m ** 2),
(lfom_60.top_row_orifice_a.to(u.m**2), 0.00818156664907796 * u.m ** 2),
(lfom_60_5_rows.top_row_orifice_a.to(u.m**2), 0.00645370681 * u.m ** 2), # 20

(lfom_20.orifice_d_max.to(u.m), 0.047557190718114956 * u.m),
(lfom_60.orifice_d_max.to(u.m), 0.10206416704942245 * u.m), # 15
(lfom_60.orifice_d_max.to(u.m), 0.10206416704942245 * u.m),
(lfom_60_5_rows.orifice_d_max.to(u.m), 0.0906483023 * u.m),

(lfom_20.orifice_d.to(u.m), 0.03175 * u.m),
(lfom_60.orifice_d.to(u.m), 0.044449999999999996 * u.m),
(lfom_60.orifice_d.to(u.m), 0.044449999999999996 * u.m), # 25
(lfom_60_5_rows.orifice_d.to(u.m), 0.0381 * u.m),


(lfom_20.drill_bit_a.to(u.m**2), 0.0007917304360898403 * u.m ** 2),
(lfom_60.drill_bit_a.to(u.m**2), 0.0015517916547360866 * u.m ** 2),
(lfom_60_5_rows.drill_bit_a.to(u.m**2), 0.00114009183 * u.m ** 2),

(lfom_20.orifice_n_max_per_row, 21), # 20
(lfom_20.orifice_n_max_per_row, 21), # 30
(lfom_60.orifice_n_max_per_row, 23),
(lfom_60_5_rows.orifice_n_max_per_row, 27),

(lfom_20.q_per_row[5], 20.0 * u.L / u.s),
(lfom_60.q_per_row[3], 60.0 * u.L / u.s),
(lfom_60_5_rows.q_per_row[4], 60.0 * u.L / u.s), # 35

(lfom_20.q_submerged(3, [4, 3, 2]), 5.939085475350429 * u.L / u.s),
(lfom_60.q_submerged(3, [4, 3, 2]), 14.34566338987966 * u.L / u.s), # 25
(lfom_60.q_submerged(3, [4, 3, 2]), 14.34566338987966 * u.L / u.s),
(lfom_60_5_rows.q_submerged(3, [4, 3, 2]), 9.36855673 * u.L / u.s),

(lfom_20.orifice_n_per_row[0], 12),
(lfom_60.orifice_n_per_row[0], 21)
(lfom_60.orifice_n_per_row[0], 21), # 40
(lfom_60_5_rows.orifice_n_per_row[0], 27),
])
def test_lfom(actual, expected):
if (type(actual) == u.Quantity and type(expected) == u.Quantity):
Expand Down