5. Data Model
𝑄 𝑎 =
𝑉2−𝑉1
𝑡2−𝑡1
𝑄𝑠 = (0.03531) ∗ 𝑄 𝑎 ∗ (
𝑇𝑠
𝑇
) ∗ (
𝑃
𝑃𝑠
)
Constant is unit conversion from (L/min) to (SCFM)
294.11= standard temperature (K)
101.3= standard pressure (kPa)
6. Process Model
𝑄 𝑎 = 𝐶 𝑜 𝐴 𝑜
2(∆𝑃)
𝜌(1−𝛽4)
Horizontal pipe, steady state, inviscid, and incompressible
𝑄𝑠 = 𝑎(𝑖 − 𝑖 𝑜) 𝑏
Notice Standard Flow
8. Expectations
Square root model
Unknown constant a is positive
Unknown constant b is close to 0.5
Average residual close to zero 0
0.5
1
1.5
2
2.5
3
3.5
0 2 4 6 8 10 12
Q
i-io
Expected Plot of Q vs. (i-io)
9. Experimental Plan
Open necessary valves
Set pressure regulators
Adjust zero (𝑖 𝑜) and range
Flow must be turned off for zero
Attach the flow meter
Set valve at random operating %
Record the current (i)
10. Experimental Plan (cont.)
Measure (𝑉2 − 𝑉1), T, and P
1 minute interval
Repeat fifteen times
Plug data into spreadsheet
Determine a and b using solver
Plug model into NI LabVIEW
Test the model
9 trials
13. Statistical Test Results
Taken from Google Images
Statistical Test: Two-tailed t-test
Null Hypothesis r̄ = 0
Alternative Hypothesis r̄ ≠ 0
Significance level α = 0.05 (95% confidence level )
Mean of Residuals (r̄)
Sample Standard
Deviation (sr)
Number of random samples
(N)
Test Statistics
(t)
0.061217 0.0577 15 0.0781
Data from Student's t-Distribution Table
Two-tails (P-value) 0.5 0.5 < p-value < 1.0 1
Degree of freedom (14) 0.692 0.0781 0