At the end of this course, the students; 1) Ability to apply knowledge of mathematics, science, and engineering 2) Ability to design and conduct experiments, as well as to analyze and interpret data 3) Ability to design a system, component, or process to meet desired needs with inrealistic 4) Ability to function on multidisciplinary teams 5) Ability to identify, formulate, and solve engineering problems 6) The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context 7) Ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
Engineering and experiments, the need for experiments. Generalized measurement systems. Experimental methods. Measurement techniques. Basic measurement and sensing devices. Calibration techniques. Reliability concepts. Statistical analysis of experimental data, error detection, uncertainty analysis. Data acquisition, presentation and reporting. Conducting experiments on key areas of mechanical engineering by taking measurement, implementation and development of practical skills in drawing conclusions, and report preparation.
COURSE CONTENTS
WEEK
TOPICS
1st Week
1st Week Experimental setup design, experimentation, measurement, data acquisition and report writing. Assessment of project topics.
2nd Week
2nd Week Experiment 1: Calibration of an orificemeter
3rd Week
3rd Week Experiment 2: Strain measurement using strain gauge.
4th Week
4th Week Experiment 3: Determination of hardness values of materials.
5th Week
5th Week Experiment 4: Electric motor torque assessment.
6th Week
6th Week Experiment 5: Temperature distribution of a rectangular prism box which has a heating rod with constant temperature.
7th Week
7th Week Experiment 6: Energy and mass balance in psychometric processes.
8th Week
8th Week Project mid-term presentations
9th Week
9th Week Theory : What is radiation, radiative heat transfer calculations, shape factors, absorption, reflection, emmisivity and permeability.
10th Week
10th Week Theory : What is radiation, radiative heat transfer calculations, shape factors, absorption, reflection, emmisivity and permeability.
11th Week
11th Week Experiment 7: Fatigue test
12th Week
12th Week Experiment 8: Bending test
13th Week
13th Week Deney 9: Radiative emmissivity ratio of plates with different properties
14th Week
14th Week Project Final Presentations .
RECOMENDED OR REQUIRED READING
o S. Figliola / Donald E. Beasley, Theory and Design for Mechanical Measurement, 4. Edition, Richard WILEY, 2006. o J. P. HOLMAN, "Experimental Methods for Engineering, 7th ed.", McGRAW-HILL, 2001.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Experiment,Report Preparation,Practice
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
25
Quiz
11
5
Project
1
25
Attendance
1
15
Total(%)
70
Contribution of In-term Studies to Overall Grade(%)
70
Contribution of Final Examination to Overall Grade(%)
30
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
2
2
Preparation for Quiz
7
,5
3,5
Individual or group work
14
1
14
Preparation for Final exam
14
1
14
Course hours
14
4
56
Preparation for Midterm exam
7
1
7
Laboratory (including preparation)
6
3
18
Final exam
1
2
2
Homework
3
1
3
Project
1
10
10
Quiz
10
,5
5
Total Workload
134,5
Total Workload / 30
4,48
ECTS Credits of the Course
4
LANGUAGE OF INSTRUCTION
English
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)