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Islamic University of Gaza Industrial Engineering Department EIND3102: Measurements Lab
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Metrology is the science of measurement, embracing both experimental and theoretical determinations at any level of uncertainty in any field of science and technology. ” International Bureau of Weights and measurements (BIPM)” 8/17/2015 Measurements and Sources of Errors 2
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Measurement is the process of determining or finding the size, quantity or degree of something. The principle dimensional measurement is length; secondary measurement is angle and curvature. You can describe shape without describing size, but not the reverse. 8/17/2015 Measurements and Sources of Errors 3
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SymbolUnitsMeasured Quantity mMeter Length KgKilogram Mass sSecond Time KKelvin Temperature AAmpere Electrical Current molMole Quantity of substance CdCandela Luminosity rdRadian Plane angle
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Equivalent value in SI ValueEnglish unit 1 mile = 1.609 km1mile=1760yardMiles 1yd = 91.44 cm1 yard = 3 ft Yard 1 ft = 30.48 cm1 ft = 12 in Foot 1 in = 25.4 mmin Inch
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Four methods of measurement: 1. Direct method. compare the quantity directly with the primary or secondary standard. 1. Indirect method. 8/17/2015 Measurements and Sources of Errors 7
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1. Comparison method: the comparison of an unknown quantity to a known quantity called a standard using Dial Indicator. 1. Coincidence method.
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Measuring instruments are measuring devices that transform the measured quantity into an information, either analog or digital. 8/17/2015 Measurements and Sources of Errors 9
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The functions of the measuring instruments are: 1. Indicating function 2. Recording function 3. Controlling function The applications of the measuring instruments are: 1. Monitoring of processes and operations 2. Control of process 3. Experimental engineering analysis 8/17/2015 Measurements and Sources of Errors 10
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Measuring Instruments Types: 1. Angle measuring Instruments: e.g. Angle gauges; Divided scales; Sine bar with slip gauges; Autocollimator; and Tool Maker Microscope. 2. Length measuring Instruments: ex: Steel rule; Caliper; Micrometer; and comparators. 3. Instruments for surface finish: surface roughness measurements. 4. Instruments for deviations: Coordinate Measuring Machine (CMM). 8/17/2015 Measurements and Sources of Errors 11
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Measurement Applications 1. Plate Work: The layout and inspection performed from a surface plate. The primary purpose of a surface plate is to provide a reference plane. 2. Coordinate Measurement 3. Statistical Quality Control 4. Inspection: Verification of conformity to a standard. 8/17/2015 Measurements and Sources of Errors 12
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Resolution: It is the minimum value that can be measured when the instrument is gradually increased from non-zero value. Repeatability: The degree of closeness with which a given value may be repeatedly measured under same conditions. Reproducibility: The degree of closeness with which a given value may be repeatedly measured under different conditions. 8/17/2015 Measurements and Sources of Errors 13
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Gaging: It is not measurement, but a form of inspection and sorting. Tolerance: The two extremes within which an actual part dimension must lie. 8/17/2015 Measurements and Sources of Errors 14
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They are a necessity in any testing environment that requires linear dimensional accuracy and/or calibration of measuring tools, such as micrometers and calipers. They are precision ground and lapped measuring standards. They are used as references for the setting of measuring equipment such as micrometers, sine bars, dial indicators (when used in an inspection role). Gage blocks are manufactured to precise gage- maker tolerance grades for calibrating, checking, and setting fixed and comparative gages. 8/17/2015 Measurements and Sources of Errors 15
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Calibration of a measuring instrument It is the process of determining the values of the quantity being measured corresponding to a pre-established arbitrary scale. Advantages of calibration: Optimizes resources. Assures consistency. Ensures measurements (and perhaps products) are compatible with those made elsewhere. Eliminate or reduce bias in the user's measurement system relative to the reference base. 8/17/2015 Measurements and Sources of Errors 16
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Accuracy is the agreement between a measured value and the true value. Precision also called reproducibility or repeatability, the degree to which further measurements or calculations show the same or similar results. Instrument precision is usually associated with the number of digits displayed on the output, i.e., its resolution. 8/17/2015 Measurements and Sources of Errors 17
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Accuracy indicates proximity to the true value, precision to the repeatability or reproducibility of the measurement 8/17/2015 Measurements and Sources of Errors 18
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8/17/2015 Measurements and Sources of Errors 19 High accuracy, but low precision High precision, but low accuracy
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Accuracy Error is Inaccuracy or Uncertainty. Accuracy error is the measured value minus the true value. Precision error is the random error. Precision error is the reading minus the average of readings. 8/17/2015 Measurements and Sources of Errors 20
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Measurements Errors : Is the difference between the true value of the size and the value found by measurement. Errors pertains to measurement not to an instrument. Error = True Size – Actual Size True Size: is the theoretical size obtained through measurement. This type of size is free from any type of error. It is the guide for measuring many properties such as accuracy of an instrument. Actual Size: is a measured size with permissible error. It refers to the minimum acceptable size of a sample. 8/17/2015 Measurements and Sources of Errors 21
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There are two general categories of error: systematic (or bias) errors and random (or precision) errors. 8/17/2015 Measurements and Sources of Errors 22 Errors Systematic Random
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Systematic errors (also called bias errors) They are consistent, repeatable errors. For example, suppose the first two millimeters of a ruler are worn off, and the user is not aware of it. Everything he or she measures will be too short by two millimeters – a systematic error. 8/17/2015 Measurements and Sources of Errors 23
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Systematic errors arise for many reasons. Here are just a few: Calibration Errors: due to nonlinearity or errors in the calibration method. Loading or Intrusion Errors: the sensor may actually change the very thing it is trying to measure. Spatial Errors: arise when a quantity varies in space, but a measurement is taken only at one location (e.g. temperature in a room - usually the top of a room is warmer than the bottom). Human Errors: arise if a person consistently reads a scale on the low side, for example. Defective Equipment Errors: arise if the instrument consistently reads too high or too low due to some internal problem or damage. 8/17/2015 Measurements and Sources of Errors 24
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Random errors They are unrepeatable, inconsistent errors, resulting in scatter in the output data. The random error of one data point is defined as the reading minus the average of readings. 8/17/2015 Measurements and Sources of Errors 25
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There are many other errors, which all have technical names, as defined here: Zero Error: The instrument does not read zero when the input is zero. Zero error is a type of bias error that offsets all measurements taken by the instrument, but can usually be corrected by some kind of zero offset adjustment. Linearity Error: The output deviates from the calibrated linear relationship between the input and the output. Linearity error is a type of bias error, but unlike zero error, the degree of error varies with the magnitude of the reading. 8/17/2015 Measurements and Sources of Errors 26
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Sensitivity Error: The slope of the output vs. input curve is not calibrated exactly in the first place. Since this affects all readings by the instrument, this is a type of systematic or bias error. Resolution Error: The output precision is limited to discrete steps (e.g., if one reads to the nearest millimeter on a ruler, the resolution error is around +/- 1 mm). Resolution error is a type of random or precision error. 8/17/2015 Measurements and Sources of Errors 27
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Hysteresis Error: The output is different, depending on whether the input is increasing or decreasing at the time of measurement. This is a separate error from instrument repeatability error. Instrument Repeatability Error: The instrument gives a different output, when the input returns to the same value. The reasons for the differences and the procedure to get to that value are usually random, so instrument repeatability error is a type of random error. 8/17/2015 Measurements and Sources of Errors 28
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Drift Error: The output changes (drifts) from its correct value, even though the input remains constant. Drift error can often be seen in the zero reading, which may fluctuate randomly due to electrical noise and other random causes, or it can drift higher or lower (zero drift) due to nonrandom causes, such as a slow increase in air temperature in the room. Thus, drift error can be either random or systematic. Parallax: This error can occur whenever there is some distance between the measuring scale and the indicator used to obtain a measurement. If the observer's eye is not squarely aligned with the pointer and scale, the reading may be too high or low (some analog meters have mirrors to help with this alignment). 8/17/2015 Measurements and Sources of Errors 29
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Environmental factors: Be aware of errors introduced by your immediate working environment. You may need to take account for or protect your experiment from vibrations, drafts, changes in temperature, electronic noise or other effects from nearby apparatus. Reading Error: describes such factors as parallax, interpolation, or optical resolution. Loading Error: results from the change of the measurement instrument when it is being used. Effect of support. Dirt. 8/17/2015 Measurements and Sources of Errors 30
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Errors due to Vibrations. Metallurgical Effects. Contact Point Penetration. Errors due to Deflection. Errors due to Looseness. Errors due to Wear in Gauges. Errors due to Location. Errors due to Poor Contact. Errors due to Impression of Measuring Stylus. 8/17/2015 Measurements and Sources of Errors 31
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