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Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor: Lichuan Gui [email protected] http://lcgui.net

Instructor: Lichuan Gui lichuan-gui@uiowa lcgui

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Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL. Instructor: Lichuan Gui [email protected] http:// lcgui.net. Lecture 4. Measurement systems and static response. - PowerPoint PPT Presentation

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Page 1: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

Measurements in Fluid Mechanics058:180:001 (ME:5180:0001)

Time & Location: 2:30P - 3:20P MWF 218 MLH

Office Hours: 4:00P – 5:00P MWF 223B-5 HL

Instructor: Lichuan [email protected]

http://lcgui.net

Page 2: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

2

Lecture 4. Measurement systems and static response

Page 3: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

3

Measuring systems and their components

Essential systems in fluid mechanics experiment

flowing fluids, flow-producing apparatus, test models etc. 1. Physical system:

2. Measuring system:

3. Experimenter(s):

sensors, electric and electronic circuits, data acquisition and processing devices, and software person(s) who plans, executes, and interprets the measurements

Response of measuring system - relationship between values of an input and an output

Inputs of measuring system

1. Desired inputs

2. Undesirable inputs

a. interfering inputs

b. modifying inputs

- add noise to desired inputs

- change response to desired inputs

Example: hot-wire anemometer used to measure air jet flow from a nozzle to lab room

- The draft of air produced by ventilation system in lab acts as interfering inputs.

- The room temperature change acts as modifying inputs.

Page 4: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

4

Filtering, compensation, and output correction

Filters - used to reduce or eliminate undesirable input effects

- no-pass filters remove all fluctuations, permitting only a steady component

- low-pass filters remove fluctuations with frequencies above a cut-off value

- high-pass filters remove fluctuations with frequencies below a cut-off value

- band-pass filters remove all fluctuations except those with frequencies within a certain band

- band-reject filters remove all fluctuations with frequencies within a certain band

Filters classified according to frequency range:

Filters classified in terms of physical operation

- electrical-electronic filters, applied to electric signals;

- mechanical filters, designed to filter motion or force fluctuations, e.g. shock absorbers used to reduce vibration of an apparatus;

- thermal filters, designed to remove temperature fluctuations, e.g. thermal insulation

- electromagnetic filters, designed to remove the interfering effects of electric and magnetic fields- digital filters, applied to recorded signals

Page 5: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

Rs1

Measuring gauge

V0

Filtering, compensation, and output correction

Compensation - introduce additional interfering or modifying inputs to partly or entirely cancel the original undesirable effects.

Example:

- sensitive to ambient-temperature fluctuationsBonded strain gauge

V0

Rs1

Measuring gauge

Rs2

Reference gauge

𝑅𝑠2=𝛼 (∆𝑇 )𝑅𝑠

Analytical correction - remove undesirable effects & errors from outputaccording to knowledge of undesirable inputs & system responses 5

Page 6: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

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Modes and functions of measuring system components

Operation modes:

Response modes:

1. Passive – output energy supplied by input

2. Active – output energy supplied by external excitation source

Functions of measuring system components:

1. Sensing used to produce output

2. Convection and conditioning used to transform output to a form, amplitude, or both more suitable for observation or further processing

- analogue, discrete (digital, binary, etc.), or hybrid

3. Transmission used to transfer signals or other information from one component to another

4. Processing and storage used display or store output

Page 7: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

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Static response and static calibration

Static system

- constant or slowly varying input and output

Static calibration:

1. Zero drift – parallel shift of primary calibration curve

2. Sensitivity drift – a change in the slope of the primary calibration curve

- determine input-output relationship (calibration curve) with standard system

- performed separated for each desired input

- accuracy depends on that of instruments used as standard

Effects of undesirable inputs:

Static response

1. Theoretically determined by physical law e.g. liquid manometer for gas pressure difference measurement, Fig. (a)

Hydrostatic law:

2. More commonly determined by static calibration, e.g. variable-reluctance pressure transducer, Fig. (b) calibrated with liquid manometer:

Page 8: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

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Static response and static calibration

Static performance characteristics:

• Static sensitivity

• Scale readability

• Span (input full-scale)

• Full-scale output

• Dynamic range

• Non-linearity

• Threshold

• Resolution

• Hysteresis

- slope of input-output relationship

- ratio of largest to smallest values of input

- smallest input level for detectable output

- difference between the output value corresponding to an input value reached from below and the output value corresponding to the same input value reached from above.

Elastic hysteresis of an band

Input

Out

put

- constant in linear system

linear

- range of input to be measured with acceptable accuracyspan

- range of output values measured from minimum to maximum input values

full-

scal

e ou

tput

- local sensitivity varies over input range in non-linear system

non-linear

- minimum change in output can be observed

- smallest input change for detectable output change

- maximum deviation of actual response from straight line determined by least-square fit of calibration measurements

Page 9: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

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Normality test and removal of outliers

Normality test

- Used to assess randomness of repeat measurement values

• Rearrange a number of repeat values xi, i=1,2,,N , so that xi xi+1

• Compute percentage of repeat values that are not more than xi , i.e.

• Compute mean value and variance as

𝜇𝑥=1𝑁∑

𝑖=1

𝑁

𝑥𝑖

𝜎 𝑥2= 1

𝑁−1∑𝑖=1

𝑁

(𝑥 𝑖−𝜇𝑥 )2

• Normalize the repeat values as

𝑥𝑖∗=

𝑥 𝑖−𝜇𝑥

𝜎𝑥

• Plot yi vs. xi* on probability

graph paper as right

• Assess deviation of plottedpoints from the Gaussian line

Page 10: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

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Normality tests and removal of outliers

Outliers

• Spurious values due to

(2) Temporary or intermittent undesirable input

(1) human error, e.g. misreading of an instrument’s output

• Identified by application of Chauvenet’s criterion

Value xi is a outlier if 𝜏 ∙𝜎𝑥 ≤|𝑥𝑖−𝜇𝑥|

Linear least-square fit (LLSF)

A set of calibration measurements:

LLSF line equation:

Page 11: Instructor: Lichuan Gui lichuan-gui@uiowa  lcgui

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Homework

- Questions and Problems: 1, 4 on page 41

- Read textbook 2.1-2.2 on page 19-31

- Due on 08/31