CU-Boulder MCEN 3037 - 1 (10 pages)

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Pages:
10
School:
University of Colorado at Boulder
Course:
Mcen 3037 - Data Analysis
Data Analysis Documents

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Basic Concepts Terminology We need a measurement system What does this have 1 Sensor and Transducer Stage 2 Signal Conditioning Stage 3 Output Stage Transducer f T Conditioning Ruler Optical Ultrasound Capacitive Proximity Amplifier Filter What do we get out Output Oscilloscope Camera A D Converter Best Guess for T Nanomechanical Array Measurement System Chemical Biological Detection A lot of optics but the net result is that nanobeam displacement is converted to an intensity change at the CCD and recorded We get a displacement map of the array at each frequency Sensor Nanobeams Transducer Optical System Interferometer Signal Conditioning light level Output CCD Camera Computer Output Before we make measurements we need a plan 1 Parameter Design Plan What is the objective be as specific as possible What are the variables that will affect my results How can I control these variables 2 System and Tolerance Design Plan What is your measurement technique Does it meet the objective in terms of tolerance limits for error 3 Data Reduction Design Plan How to analyze present and use the result Steps required for the result to meet the objective Independent Variables Concentration Cure time Cure temperature Controlled to some extent strength You are trying to make a new high strength light weight composite material by putting carbon nanotubes into a polymer matrix You wish to determine the yield strength as a function of nanotube concentration concentration Dependent Variables Yield strength Extraneous Variables Are not controlled during measurement Relative humidity Particle dispersion operator error Electrical noise interference Room vibration Need to control important variables Extraneous variables can lead to false trends in data and can make it extremely difficult to interpret Adds NOISE or INTERFERENCE to data Measurement accuracy accounts for 0 10F What s going on here Interference adds false trends to the data it seems to make sense but is biased in some way that is



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