diff --git a/Makefile b/Makefile
index e1f000f12..83d15b38d 100644
--- a/Makefile
+++ b/Makefile
@@ -4,7 +4,7 @@ test:
 testfile:
 	python -m pytest tests/$(file) -vv
 
-tests: 
+tests:
 	test
 
 coverage: 
diff --git a/rocketpy/Function.py b/rocketpy/Function.py
index e92864636..7d9ac3cb9 100644
--- a/rocketpy/Function.py
+++ b/rocketpy/Function.py
@@ -1936,20 +1936,6 @@ def __rsub__(self, other):
         elif callable(other):
             return Function(lambda x: (other(x) - self.getValue(x)))
     
-    def __eq__(self, other):
-        """ Checks if two functions are suffiently close enough.
-
-        Parameters
-        ----------
-        other : Function
-
-        Returns
-        -------
-        result : Boolean
-            True if the two function's sources are within a tolerance.
-        """
-        return np.allclose(self.source, other.source)
-
     def integral(self, a, b, numerical=False):
         """Evaluate a definite integral of a 1-D Function in the interval
         from a to b.
@@ -2197,27 +2183,23 @@ def functionOfAFunction(self, func, lower=None, upper=None, datapoints=100):
         # Checks to make lower bound is given
         # If not it will start at the higher of the two lower bounds
         if lower is None:
-            lower_limit_found = False
             if isinstance(self.source, np.ndarray):
                 lower = self.source[0, 0]
-                lower_limit_found = True
             if isinstance(func.source, np.ndarray):
-                lower = max(lower, func.source[0, 0])
-            if not lower_limit_found:
-                raise ValueError("Lower limit must be given if source is a function.")
-        
+                lower = func.source[0, 0] if lower is None else max(lower, func.source[0, 0])
+            if lower is None:
+                raise ValueError("If Functions.source is a <class 'function'>, must provide bounds")
+
         # Checks to make upper bound is given
         # If not it will end at the lower of the two upper bounds
         if upper is None:
-            upper_limit_found = False
             if isinstance(self.source, np.ndarray):
                 upper = self.source[-1, 0]
-                upper_limit_found = True
             if isinstance(func.source, np.ndarray):
-                upper = min(upper, func.source[-1, 0])
-            if not upper_limit_found:
-                raise ValueError("Upper limit must be given if source is a function.")
-            
+                upper = func.source[-1, 0] if upper is None else min(upper, func.source[-1, 0])
+            if upper is None:
+                raise ValueError("If Functions.source is a <class 'function'>, must provide bounds")
+
         # Create a new Function object
         xData = np.linspace(lower, upper, datapoints)
         yData = np.zeros(datapoints)
diff --git a/rocketpy/motors/LiquidMotor.py b/rocketpy/motors/LiquidMotor.py
index 1b814f627..ea20567d1 100644
--- a/rocketpy/motors/LiquidMotor.py
+++ b/rocketpy/motors/LiquidMotor.py
@@ -339,7 +339,7 @@ def netMassFlowRate(self):
         mfr.setOutputs("Mass Flow Rate")
         return mfr
 
-    def evaluateUllageHeight(self):
+    def liquidHeight(self):
         return self.ullageHeight
 
     def liquidMass(self):
diff --git a/test_export_data_1.csv b/test_export_data_1.csv
new file mode 100644
index 000000000..57846e67e
--- /dev/null
+++ b/test_export_data_1.csv
@@ -0,0 +1,543 @@
+# Time (s),X (m),Y (m),Z (m),E0,E1,E2,E3,W1 (rad/s),W2 (rad/s),W3 (rad/s)
+0.000000,0.000000,0.000000,1400.000000,0.000000,0.000000,0.000000,0.999048,-0.043619,-0.000000,0.000000,0.000000,0.000000,0.000000
+0.008887,0.000000,0.000291,1400.003331,0.000000,0.032793,0.374830,0.999048,-0.043619,0.000000,0.000000,0.000000,0.000000,0.000000
+0.017773,0.000000,0.000874,1400.009994,0.000000,0.065601,0.749821,0.999048,-0.043619,0.000000,0.000000,0.000000,0.000000,0.000000
+0.035546,0.000000,0.002624,1400.029989,0.000000,0.131244,1.500126,0.999048,-0.043619,0.000000,0.000000,0.000000,0.000000,0.000000
+0.053319,0.000000,0.005540,1400.063324,0.000000,0.196943,2.251072,0.999048,-0.043619,0.000000,0.000000,0.000000,0.000000,0.000000
+0.071092,0.000000,0.009625,1400.110011,0.000000,0.262698,3.002657,0.999048,-0.043619,0.000000,0.000000,0.000000,0.000000,0.000000
+0.248823,0.000000,0.114931,1401.313662,0.000000,0.923275,10.553084,0.999048,-0.043619,0.000000,0.000000,0.000000,0.000000,0.000000
+0.407826,0.000000,0.309019,1403.532099,0.000000,1.518765,17.359561,0.999048,-0.043619,0.000000,0.000000,0.000000,0.000000,0.000000
+0.416644,0.000000,0.322771,1403.688522,0.000000,1.559425,17.737863,0.999048,-0.043619,0.000000,0.000000,-0.000003,0.000000,0.000000
+0.425463,0.000000,0.336881,1403.848283,0.000000,1.600095,18.116309,0.999048,-0.043619,0.000000,0.000000,-0.000008,0.000000,0.000000
+0.443100,0.000000,0.365820,1404.174481,0.000000,1.681452,18.873486,0.999048,-0.043620,0.000000,0.000000,-0.000025,0.000000,0.000000
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+0.478374,0.000000,0.428004,1404.866967,0.000000,1.844276,20.389547,0.999048,-0.043621,0.000000,0.000000,-0.000098,0.000000,0.000000
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+1.231215,0.000000,3.139649,1432.526534,0.000000,5.399521,53.239430,0.998921,-0.046449,0.000000,0.000000,-0.021656,0.000000,0.000000
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+1.264383,0.000000,3.321486,1434.316704,0.000000,5.565239,54.705790,0.998903,-0.046821,0.000000,0.000000,-0.023281,0.000000,0.000000
+1.271471,0.000000,3.361061,1434.705590,0.000000,5.600851,55.019343,0.998899,-0.046904,0.000000,0.000000,-0.023624,0.000000,0.000000
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+3.899872,0.000000,39.247754,1734.473495,0.000000,22.476100,173.491493,0.997933,-0.064269,0.000000,0.000000,-0.003763,0.000000,0.000000
+3.899986,0.000000,39.250309,1734.493216,0.000000,22.476906,173.496624,0.997933,-0.064269,0.000000,0.000000,-0.003765,0.000000,0.000000
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diff --git a/test_export_data_1.kml b/test_export_data_1.kml
new file mode 100644
index 000000000..63585b139
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diff --git a/test_export_data_2.csv b/test_export_data_2.csv
new file mode 100644
index 000000000..4de075444
--- /dev/null
+++ b/test_export_data_2.csv
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diff --git a/tests/test_liquidmotor.py b/tests/test_liquidmotor.py
index 76a3b39bd..d289b3efd 100644
--- a/tests/test_liquidmotor.py
+++ b/tests/test_liquidmotor.py
@@ -5,6 +5,8 @@
 from math import isclose
 from scipy.optimize import fmin
 import numpy as np
+import pandas as pd
+import os
 
 
 # @PBales1
@@ -18,30 +20,55 @@ def test_mass_based_motor():
 
 # @curtisjhu
 def test_ullage_based_motor():
-    lox = Fluid(name = "LOx", density = 2, quality = 1.0)
-    n2 = Fluid(name = "Nitrogen Gas", density = 1, quality = 1.0)
 
-    ullageData = [(1, 6), (2, 5), (3, 4), (4, 3), (5, 2), (6, 1)] # constant flow rate
-    tank_geometry = {(0, 6): lambda y: 1}
-    ullageTank = UllageBasedTank("Ullage Tank", tank_geometry, gas=n2, liquid=lox, ullage=ullageData)
+    lox = Fluid(name = "LOx", density=2, quality = 1.0)
+    n2 = Fluid(name = "Nitrogen Gas", density=1, quality = 1.0)
 
+    test_dir = '../data/e1-hotfires/test136/'
 
-    center_of_mass_data = [[1, 3], [2, 2.5], [3, 2], [4, 1.5], [5, 1], [6, 0.5]]
-    assert ullageTank.centerOfMass() == Function(center_of_mass_data)
+    top_endcap = lambda y: np.sqrt(0.0775 ** 2 - (y - 0.692300000000001) ** 2)
+    bottom_endcap = lambda y: np.sqrt(0.0775 ** 2 - (0.0775 - y) ** 2)
+    tank_geometry = {(0, 0.0559): bottom_endcap, (.0559, 0.7139): lambda y: 0.0744, (0.7139, 0.7698): top_endcap}
 
-    mass_data = [[1, 12], [2, 11], [3, 10], [4, 9], [5, 8], [6, 7]]
-    assert ullageTank.mass() == Function(mass_data)
+    ullage_data = pd.read_csv(os.path.abspath(test_dir+'loxUllage.csv')).to_numpy()
+    ullageTank = UllageBasedTank("Ullage Tank", tank_geometry,
+                                 gas=n2, liquid=lox, ullage=ullage_data)
 
-    mass_flow_rate_data = [[1, 1], [1, 1], [1, 1], [1, 1], [1, 1], [1, 1]]
-    assert ullageTank.netMassFlowRate() == Function(mass_flow_rate_data)
+    mass_data = pd.read_csv(test_dir+'loxMass.csv').to_numpy()
+    mass_flow_rate_data = pd.read_csv(test_dir+'loxMFR.csv').to_numpy()
+
+    def align_time_series(small_source, large_source):
+        assert isinstance(small_source, np.ndarray) and isinstance(large_source, np.ndarray), "Must be np.ndarrays"
+        if small_source.shape[0] > large_source.shape[0]:
+            small_source, large_source = large_source, small_source
+
+        result_larger_source = np.ndarray(small_source.shape)
+        result_smaller_source = np.ndarray(small_source.shape)
+        tolerance = .1
+        for smallIndex, val in enumerate(small_source):
+            time = val[0]
+            delta_time_vector = abs(time-large_source[:, 0])
+            largeIndex = np.argmin(delta_time_vector)
+            delta_time = abs(time - large_source[largeIndex][0])
+
+            if delta_time < tolerance:
+                result_larger_source[smallIndex] = large_source[largeIndex]
+                result_smaller_source[smallIndex] = val
+        return result_larger_source, result_smaller_source
+
+    assert np.allclose(ullageTank.liquidHeight().getSource(), ullage_data)
+    ullage_tank_mass_data, mass_data = align_time_series(ullageTank.liquidMass().getSource(), mass_data)
+    Function(ullage_tank_mass_data).plot1D()
+    # assert np.allclose(ullage_tank_mass, mass_data, rtol=3)
+    # assert np.allclose(ullageTank.netMassFlowRate().getSource(), mass_flow_rate_data)
 
 # @gautamsaiy
 def test_mfr_tank_basic1():
     def test(t, a):
         for i in np.arange(0, 10, .2):
-            # assert isclose(t.getValue(i), a(i), abs_tol=1e-5)
+            assert isclose(t.getValue(i), a(i), abs_tol=1e-5)
             # print(t.getValue(i), a(i))
-            print(t(i))
+            # print(t(i))
 
     def test_nmfr():
         nmfr = lambda x: liquid_mass_flow_rate_in + gas_mass_flow_rate_in - liquid_mass_flow_rate_out - gas_mass_flow_rate_out
@@ -72,17 +99,17 @@ def test_com():
         tcom = t.centerOfMass
         test(tcom, acom)
 
-    def test_inertia():
-        alv = lambda x: (initial_liquid_mass + (liquid_mass_flow_rate_in - liquid_mass_flow_rate_out) * x) / lox.density
-        alh = lambda x: alv(x) / (np.pi)
-        m = lambda x: (initial_liquid_mass + (liquid_mass_flow_rate_in - liquid_mass_flow_rate_out) * x) + \
-            (initial_gas_mass + (gas_mass_flow_rate_in - gas_mass_flow_rate_out) * x)
-        r = 1
-        iz = lambda x: (m(x) * r**2)/2
-        ix = lambda x: (1/12)*m(x)*(3*r**2 + alh(x) **2)
-        iy = lambda x: (1/12)*m(x)*(3*r**2 + alh(x) **2)
-        test(i, 0)
-        
+    # def test_inertia():
+    #     alv = lambda x: (initial_liquid_mass + (liquid_mass_flow_rate_in - liquid_mass_flow_rate_out) * x) / lox.density
+    #     alh = lambda x: alv(x) / (np.pi)
+    #     m = lambda x: (initial_liquid_mass + (liquid_mass_flow_rate_in - liquid_mass_flow_rate_out) * x) + \
+    #         (initial_gas_mass + (gas_mass_flow_rate_in - gas_mass_flow_rate_out) * x)
+    #     r = 1
+    #     iz = lambda x: (m(x) * r**2)/2
+    #     ix = lambda x: (1/12)*m(x)*(3*r**2 + alh(x) **2)
+    #     iy = lambda x: (1/12)*m(x)*(3*r**2 + alh(x) **2)
+    #     test(i, 0)
+    #
 
 
     tank_radius_function = {(0, 5): 1}
@@ -104,4 +131,4 @@ def test_inertia():
     test_mass()
     test_liquid_height()
     test_com()
-    test_inertia()
+    # test_inertia()