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SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 1 Pressure Transient Fourier Analysis Experiment by Student X Group Y ME 435L Winter 2007.

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Presentation on theme: "SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 1 Pressure Transient Fourier Analysis Experiment by Student X Group Y ME 435L Winter 2007."— Presentation transcript:

1 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 1 Pressure Transient Fourier Analysis Experiment by Student X Group Y ME 435L Winter 2007

2 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 2 Objectives Calibrate a strain gage pressure transducer and compare to manufacturer’s calibration data Study transient response pressure fluctuations generated by rapid release of water from a raised tank Create a computer generated curve fit of analog pressure transient curve using a Discrete Fourier Transform Compare physical system to computer generated model Find pressures at  t=120° and  t=180°

3 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 3 Background Theory Strain Gage Pressure Transducer –Strain gages bonded to diaphragm in Wheatstone Bridge configuration. –Pressure gradient causes deflection in diaphragm –Resistance in strain gages is proportional to diaphragm deflection

4 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 4 Background Theory Strain Gage Pressure Transducer (Continued) –Low mass and relative stiffness of diaphragm lead to a high natural frequency and quick response time –Well suited to transient measurements

5 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 5 Background Theory Fourier Analysis –Infinite expression of coefficients multiplied by sines and cosines to approximate a continuous, complex function Fourier Transform –Method for decomposition of a measured signal (y(t)) into its amplitude-frequency components –Discrete Fourier Transform (DFT) Approximation of the Fourier Transform for use with finite data sets –Fast Fourier Transform (FFT) Algorithm to compute DFT quickly Uses N log 2 N operations as opposed to N 2 in the DFT

6 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 6 Fourier Analysis Theory

7 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 7 Equipment Viatran Corp. Model 119 Pressure Transducer –FSO Range: 0-40” WCD –Static Sensitivity: K = 100.54 +/- 15.3% mVDC / in WCD Agilent Technologies HP34970A Data Acquisition / Switch Unit –Operating Range: 0-10 VDC –Bias Error: 0.0035% of Reading + 0.0005% of Range

8 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 8 Equipment Agilent Technologies HP35670A Dynamic Signal Analyzer –Range: 90 dB –Accuracy +/- 0.15dB Operational Amplifier Bridge Signal Conditioning board –Gain potentiometer set to obtain 0.993 VDC at 10” WCD –Gain, G=120

9 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 9 Equipment Water Supply Tank –Hole in bottom plugged by stopper Ruler –Accuracy +/- 0.0625” PC with LABVIEW installed

10 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 10 Pressure Transducer Calibration Curve

11 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 11 Uncertainty Analysis B SE = 0.04” WCDB LIN = 0.16” WCD B HYS = 0.08” WCDB REP = 0.004” WCD B ZB = 0.716” WCD

12 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 12 Fourier Analysis of Pressure Transient Curve

13 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 13 Fourier Analysis of Pressure Transient Curve

14 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 14 Fourier Analysis of Pressure Transient Curve P(t) = 2.986 + 11.936 sin (πt ) + 3.282 sin (2πt + 1.512) + 1.482 sin (3πt - 1.557) + 1.064 sin (4πt - 1.408) + 0.577 sin (5πt - 1.164) + 0.577 sin (6πt + 1.152) + 0.656 sin (7πt - 1.198) + 0.318 sin (8πt - 1.222) + 0.239 sin (9πt - 0.246) + 0.328 sin (10πt + 0.653) + 0.537 sin (11πt + 1.241) + 0.477 sin (12πt - 0.931) + 0.129 sin (13πt + 0.766) + 0.368 sin (14πt + 0.436) + 0.517 sin (15πt + 1.57) + 0.338 sin (16πt - 0.349) + 0.169 sin (17πt - 0.733) + 0.338 sin (18πt + 0.960) + 0.348 sin (19πt - 1.132) + 0.129 sin (20πt + 0.069) + 0.149 sin (21πt + 0.155) + 0.288 sin (22πt - 1.247) + 0.239 sin (23πt - 0.944) + 0.050 sin (24πt + 0.724) + 0.199 sin (25πt + 0.91) + 0.159 sin (26πt + 1.479) + 0.119 sin (27πt - 1.136) + 0.030 sin (28πt - 1.217) + 0.099 sin (29πt + 0.973) + 0.139 sin (30πt + 1.533) + 0.099 sin (31πt - 1.139) + 0.050 sin (32πt + 1.529) + 0.090 sin (33πt + 1.187) + 0.109 sin (34πt + 1.546) + 0.080 sin (35πt + 1.299) + 0.050 sin (36πt + 1.57) + 0.070 sin (37πt + 1.294) + 0.090 sin (38πt + 1.516) + 0.070 sin (39πt -1.391) + 0.050 sin (40πt -1.528) [in. WCD]

15 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 15 Fourier Analysis of Noise in Static Region

16 SAMPLE ONLY 10/31/06FOR ME 435L DEMOSTRATION PURPOSES ONLY 16 Fourier Analysis of Noise in Static Region P(t) = 0.039 + 0.149 sin (100πt ) + 0.020 sin (200πt - 0.233) + 0.030 sin (300πt - 1.238) + 0.189 sin (400πt + 1.477) + 0.010 sin (500πt - 0.406) + 0.020 sin (600πt - 0.098) + 0.109 sin (700πt + 0.871) + 0.030 sin (800πt + 1.216) + 0.010 sin (900πt + 1.431) + 0.010 sin (1000πt + 1.045) + 0.010 sin (1100πt - 1.161) + 0.010 sin (1200πt + 0.139)+ 0.040 sin (1300πt + 0.507) + 0.020 sin (1400πt + 0.314) + 0.020 sin (1500πt + 0.015)+ 0.020 sin (1600πt - 1.327) + 0.010 sin (1700πt + 1.121) + 0.010 sin (1800πt - 0.81) + 0.010 sin (1900πt + 0.458) + 0.010 sin (2000πt + 0.078) [in. WCD]


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