Instructor: Prof.
Woosoon Yim (x5 0956,
Textbook: Theory and Design for Mechanical
Measurements ( 3rd Ed) by R.
Figliola and D. Beasley)
Class
schedule: T Th 2:30-3:45 PM CHE 101
Grading: 2 Midterm (50%) Final (35%) HW and
attendance (15%)
Course prerequisites: EEG 291, PHY 182, 182L, or consent of instructor
Homework
policy:
·
Homework problems are
assigned in class every week.
·
Homework solutions will be
available on http://www.me.unlv.edu/~wy on the day homework is collected.
·
Be sure to put your mailbox
number next to your name so that the grader can return your graded homework to
your mailbox.
·
All homework is due on the first
day of class in each week and any homework submitted after the solution is posted
will not be accepted.
ME337 is
designed to make undergraduate students in the mechanical engineering familiar
with general measurement systems including various transducers, characteristics
of dynamic signal, and dynamic characteristics of measurement systems. Special
emphasis is given to the computer aided data acquisition system and statistical
treatment of measurement data and uncertainty analysis for the measurement data
commonly encountered in mechanical engineering.
By the end of
the course, students should be able to do the followings:
· Operational
principles of transducers and signal conditioning units commonly encountered in
mechanical engineering:
Familiarize the basic operational principles of motion
measurement, temperature measurement, and pressure measurement. Transducers
such as incremental encoder, absolute encoder, tachometer, potentiometer,
thermocouple, thermistor, RTD, strain gauges are
discussed along with appropriate analog/digital signal processing of transducer
output. One credit lab (ME337L) is used for students hands-on experience of
those transducers
· Computer aided
data acquisition:
Fundamentals of PC based data acquisition system, sampling theorem, aliasing
frequency, and signal conditioning of transducer output. Hands-on experience of
PC based data acquisition using LabVIEW graphical
programming language in MEG337L.
· Dynamic signal
characterization and dynamics response of measurement instruments: Fourier
analysis of dynamic signal is introduced to students along with dynamic
characteristics of measurement instruments. Emphasis is given to (1) discrete
Fourier transformation that can be implemented for the PC based computer aided
data acquisition system (2) selection of right dynamic parameters for
instruments; concept of dynamic bandwidth of instrument; design of instrument
for a given dynamic range.
·
Probability, statistical method, and uncertainty
analysis:
Treatment of measurement data using statistics; probability theory; finite
statistics; curve fitting of measurement data and goodness of fit. Uncertainty
analysis using design stage and multiple measurement analysis; propagation of
individual uncertainties to final measurement results using