DEPARTMENT OF MECHANICAL ENGINEERING

 

4330 

measurement systems,

 

Course code: ME412  3 CH

 

PREREQUISITES

 

•           Knowledge of electrical circuits

•           Knowledge of frequency response

•           Knowledge of fluid flow

•           Knowledge of kinematics and dynamic analysis of mechanical systems

•           Knowledge mechanical vibrations

 

COREQUISITES

 

None

 

TIME AND LOCATION

 

Monday

9:30- 10:45

Room B303

 

 Wednesday

9:30- 10:45

Room B303

 

 

 

 

 

INSTRUCTOR

 

Name, Title:

Zuheir WAZWAZ (M.Sc. B.Sc.), lecturer

 

Office address:

B306

 

Office hours:

Wednesday

 14:00-16:00

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Phone:

02 2230068 OR 02 2233050

 

E-mail:

zoheirw@ppu.edu

 

Website URL:

 

 

E-Learning:

http://elearning.ppu.edu/moodle/course/

 

TEXT BOOK

 

  Supplementary materials

  J. Turner and M. Martynhill, instrumentation for engineers and scientists, Oxford University press 1999.

 

 

REFERENCES

 

1.      J.P Hollman, Experimental methods for engineers McGraw-Hill, Inc., 7th Edition, 2001.

  1. Ernest O. Doebelin, measurement systems applications and design. 4th ed. Mc-Graw Hill 1990
  2. D. Patranabis, Sensors and transducers, Prentice hall, 2ed, 2003
  3. W, Bolton, Instrumentation and measurement, Newens 3ed, 2000
  4. R.S.Figliola, D.E. Beasley, Theory and Design for Mechanical Measurements, Third or Fourth Edition, John Wiley and Sons, 2000              

 

ADDITIONAL MATERIALS OR EQUIPMENT NEEDED FOR THE COURSE

 

Digital Calculator, PC, Matlab, MS-Office.

 

SUPPLEMENTARY MATERIALS

 

·        Hints for Studying: In addition to class notes and presentations it is a good studying practice to read topics and review the resources available on the course website.

·        University Resources: Students are expected to make use of the resources available in the library.

 

COURSE DESCRIPTION

 

the aim of the course is to provide students with the technical information needed for working with measurement systems and instruments and apply this knowledge in the field of mechanical measurements. Students will be able to apply statistical  analysis of experimental data, and evaluate static and dynamic performance of measurement devices. The basics of  measurement devices will be discussed in detail and special emphasis will be given to flow meters, force and power, motion and dimensional measurement devices.

 

INTENDED LEARNING OUTCOMES

After completing this course students should be able to:

 

1. Demonstrate the application of mathematics, science and engineering principles in the analysis of electrical circuits and modern measurement systems  

2. Have fundamental knowledge in the measurement of physical properties (e.g., force, strain, temperature, velocity and fluid flow).  

3. Analyze experimental data by using basic statistical analysis (e.g., regression analysis).  

4. Have the basic methodology for designing and documenting experiments. 

5. Continue the development of written communicative skills.

 

 

COURSE OUTLINE AND CALENDER

 

 

TOPICS

WEEKS

 

 

1.       Introduction to measurement and instrumentation (1 class)

1

 

 

2.       Functional description of measuring instruments (1 class)

1

 

 

3.       Performance characteristics of instruments, and terminology (1 class)

2

 

 

4.      Statistical analysis of data, regression analysis and uncertainty analysis (4 classes)

   2,3

 

 

5.       Combination of component errors in overall system accuracy. (1 class)

4

 

 

6.       Static and Dynamic characteristics of instruments, (1 class)

5

 

 

7.       Operational Transfer function, zero &first order instruments (1 class)

6

 

 

8.      Step response, ramp and frequency response of first order and second order instruments (1 class)

7

Exam 1

 

 

9.      Electrical Circuits (2 classes)

8

 

 

10. Force, torque and strain measurements (4 classes)

9,10

 

 

11. Flow measurement (4 classes)

11,12

 

 

12.  Temperature Measurement (4 classes)

13,14

 

 

13. Signal conditioning and analysis (2 classes)

15

exam2

 

 

14.  Data Acquisition (2 classes)

16

 

 

 

DUE DATES

 

·        Assignments should be submitted within one week after being assigned.

·        The last day for course withdrawal without penalty is before the end of tenth week.

 

COURSE POLICIES

 

·        Class Attendance: Students are expected to attend class on a regular basis. Formal attendance records will be maintained. Unexcused absence is not accepted.

 

·        Unexcused Absence: Students exceeding the allowed limit of absence according to the university regulations will be prevented from entering the final exam. 

 

·        Reporting Illnesses: Excused absence like illness or another personal or family condition should be reported to the Head of Department or the academic supervisor.

 

·        Missing Due Dates: Late assignments are not allowed, a zero score will be given for the assignment in this case.

 

Make-Up Policy:  Make-up exams are hard and will be given upon excused absence only.

·         Make-up of the final exam will follow the university regulations.

 

·        Extra Credit: Students are encouraged to use computers and Matlab software in solving special problems and study cases for up to five extra credits.

 

·        Academic Dishonesty - Cheating and Plagiarism: Students are expected to conform to a high standard of honesty and integrity in this course. Copying the work of someone else and other forms of cheating and plagiarism are strictly prohibited. The minimum penalty for any fault is a zero score on that assignment. The cause may be subject to additional restrictions.

 

TEACHING METHODS

 

·        Lectures

·        Assignments

·        Problem Solving Sessions

·        Online Activities

 

ASSESSMENT MEASURES

 

·        Written Exams

·        Quizzes

·        Assignments

·        Online Activities

 

GRADING SYSTEM

 

·        First Exam

20 %

 

·        Second Exam

20 %

 

·        Final Exam

40 %

 

·        Quizzes

05 %

 

·        Online Activities

05 %

 

·        Assignments

10 %

 

IMPORTANT NOTE

 

Students with special needs or conditions or missing class meeting with accepted excuse are welcomed to contact me during office hours.