MEE 490: EXPERIMENTAL METHODS IN MECHANICAL ENGINEERING II (Syllabus)

MEE 490: EXPERIMENTAL METHODS IN MECHANICAL ENGINEERING II, Fall 1998 *** Class Picture *** (©1998 M. Kostic)

BACK to KOSTIC Homepage ---- For more Info look in List of Handouts including MathCAD and LabVIEW files
Read1st**Lab Safety Rules ** Laboratory projects
University Learning, Ethics and Professionalism; Class, HW, and Exam Policies
Click Q & A for Tips, Questions and Answers.
Homework/Project Assignments * Some Suggestions for Problem Solving
Computerized data acquisition-DAQ * Writing Teaching Assistant Help

Instructor: Dr. Milivoje KOSTIC, P.E. [Millivoye Kostitch], Associate Professor

Office: EB 208 (Engineering Building, Rm. 208)

Telephone: (815) 753-9975 or 753-9979; Fax: (815) 753-9975 or 753-0416
WEB: http://www.ceet.niu.edu/faculty/kostic; E-MAIL: kostic@ceet.niu.edu

Office Hours Fall '98: M 5-6 pm, Tu 9:30-10:30 am, W 5-6 pm, and by appointment

Teaching Assistant: Abdul Raheem; e-mail: baba_raheem@hotmail.com;
TA Office Hours Fall '98: MTW 900-1100 AM, and by appointment in room EB 254A (753-1252).

Course/Catalog Description:

MEE 490: Experimental Methods in Mechanical Engineering II. Credit 3. Experimental design; statistical analysis of data; computerized data acquisition and reduction; experiments on signature analysis, fluid flow, heat transfer, material properties, and vibrations; individual experimental design projects. A writing-intensive course. CRQ: MEE 390 or consent of department.

Class: Tu&Th 8-9:15 in EB 201

Lab sessions will be scheduled separately for each group at designated and additional times if needed.

Textbook:

1. R.S. Figliola, and D.E. Beasley, Theory and Design for Mechanical Measurements - 2nd Edition, Wiley, 1995, and

2. L.K. Wells and J. Travis, LabVIEW FOR EVERYONE, Prentice Hall PTR, 1997

References:

A.J. Wheeler and A.R. Ganji, Introduction to Engineering Experimentation, Prentice Hall, 1996

E.O. Doebelin, Measurement Systems - Application and Design, 4th Edition, McGraw-Hill, 1990

J.P. Holman, Experimental Methods for Engineers, 5th Edition, McGrawHill, 1984.

J. W. Dally, W. F. Riley, and K. G. McConnell, Instrumentation for Engineering Measurements, John Wiley & Sons, 1984.

Additional references will be given during the lectures along with handouts.

Class/Homework/Lab/Exam/Grading Policy:
See: University Learning, Ethics and Professionalism; Class, HW, and Exam Policies
See: Lab Safety Rules
Grading: Lab project - 40%, Experiments - 10%, HW - 10%, Midterm - 15%, and Final - 25%. If any item is not graded/omitted, the other items are prorated proportionally.

Goals:
This second course in Experimental Methods is aimed to provide senior students with handson laboratory experience including computerized data acquisition, and complex processtype experiments. Strong emphasis is placed on problem solving, professional judgment, and the importance of accuracy, error, and uncertainty analysis. After completing the course, students are expected to be aware of experimental complexity, different instrumentation, and be able to apply knowledge from their science courses in order to design experiments and judge quality and precision of their measurements.

Prerequisites:
MEE 390 is prerequisite for this course which also implies; MEE 212, MEE 340, and MEE 350, i.e., basic knowledge in strength of materials, fluid mechanics, thermodynamics, and heat transfer.

Week/3-hr-Period Topic(s)/Assignment(s)

1	Planing and theory of experimental methods, experimental design.
2	Error/uncertainty and statistical analysis. Introduction of individual projects.
3	Data reduction including curve fitting and Fourier transform. Assignment of individual projects.
4,5	Computerized data acquisition ---(Tutorial)
6	Review and Midterm
7,8	Work on individual projects.
9	Spring Break.
10-15	Work on individual projects, including experiments on signature analysis (dynamic signals with frequency spectrum), fluid flow, heat transfer, material properties, and vibrations.
16	Review
17	Final exam.

Computer Usage:
Students are required to use LabVIEW, MathCAD or MATLAB, FORTRAN, BASIC, or C programming software to solve some homework problems and lab projects.

Laboratory projects
(not limited to but including major items of equipment and instrumentation used):

1.	Computerized data acquisition
2.	Calibration of strain indicator and strain concentration measurements.
3.	Refrigeration system.
4.	Air-Conditioning system
5.	~~Laser Doppler velocity measurements.~~
6.	Thermal Conductivity Apparatus with Computerized Data Acquisition
7.	Forced and free convection heat transfer.
8.	Hot-Wire Anemometer
9.	Structural testing using modal analysis.
10.	Heat-transfer and Flow-loop Apparatus
11.	Wind-tunnel experiment, etc.

Students are involved in actual measurements, data reduction and analysis, and reports writing and presentation.

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