ME407 Mechanical Experimental Lab IIIstanbul Okan UniversityDegree Programs Mechanical Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechanical Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: ME407
Course Name: Mechanical Experimental Lab II
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
2 2 3 8
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi ALPER TEZCAN
Course Lecturer(s): Dr.Öğr.Üyesi HAYRETTİN KARCI
Course Assistants:

Course Objective and Content

Course Objectives: This is the second of a two course sequence. The purpose of the Mechanical Experimental Lab II course is to give students the fundamental knowledge of experimental uncertainty analysis, sensors for measuring various physical phenomena such as mechanical quantities (strain, displacement, velocity), pressure, temperature, and humidity, fluid flow rate, fluid velocity, fluid level etc and also to teach conducting experiments, analyzing experimental results, writing reports on experiments and presenting their experimental findings.
Course Content: Experimental Uncertainty Analysis.
Measurement of Solid Mechanical Quantities.
Measurement of Pressure, Temperature and Humidity.
Measuring Fluid Flow Rate, Fluid Velocity, Fluid Level, and Combustion Pollutants.
Dynamic Behaviour of Measurement Systems.
Project Presentations

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Students will be able to conduct experimental uncertainty analysis.
2) Students will learn how to measure solid mechanical quantities.
3) Students will learn how to measure pressure, temperature and humidity.
4) Students will learn how to measure fluid flow rate, fluid velocity, fluid level, and combustion pollutants.
5) Students will learn dynamic behaviour of measurement systems.
2 - Skills
Cognitive - Practical
1) Students will conduct experiments and write experiment reports.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Describe the course. Introduction. Course overview. none
2) Define uncertainty. Experimental uncertainty analysis. Chapter 7 Lab 1: Introduction to lab facilities. Lab requirements. Measurement of solid-mechanical quantities. Chapter 8 Lab 2: LED Lecture and discussion none
4) Define solid-mechanical quantities. Measurement of solid-mechanical quantities. Chapter 8 Lecture and discussion Homework 1: Problem solving
5) Define pressure, temperature and humidity measurement sensors. Measuring pressure, temperature, and humidity. Chapter 9 Lab 4: Proximity sensors Lecture, discussion and problem solving Continue research and work on homework 1
6) Define pressure, temperature and humidity measurement sensors. Measuring pressure, temperature, and humidity. Chapter 9 Lab 5: Thermocouples Lecture and discussion none
7) Define fluid measurement units. Measuring fluid flow rate, fluid velocity, fluid level, and combustion pollutants. Chapter 10 Lab 6: Piezoelectric effect Lecture and discussion Project : A selected sensor search and presentation of its working principle, where it is used, cost, etc.
8) Define fluid measurement units. Measuring fluid flow rate, fluid velocity, fluid level, and combustion pollutants. Chapter 10 Lab 7: Load Cell Lecture and problem solving Homework 2: Problem solving
9) Exam I none
10) Define dynamic behavior of measurement systems. Dynamic behavior of measurement systems. Chapter 11 Lab 8: Humidity sensor Lecture and discussion none
11) Define dynamic behavior of measurement systems. Dynamic behavior of measurement systems. Chapter 11 Lab 9: Ultrasonic sensor Lecture and discussion none
11) Define dynamic behavior of measurement systems. Dynamic behavior of measurement systems. Chapter 11 Lab 9: Ultrasonic sensor Lecture and discussion none
12) Define dynamic behavior of measurement systems. Dynamic behavior of measurement systems. Chapter 11 Lab 10: Hall Effect Lecture, Problem Solving and Discussion Problem solving
13) Presentations of projects. Student presentations: Short presentation on chosen sensor application guidelines for planning and documenting experiments. Chapter 12 Lecture and discussion none
14) Presentatations of projects. Student presentations: Short presentation on chosen sensor application guidelines for planning and documenting experiments. Chapter 12 Lecture and discussion none

Sources

Course Notes / Textbooks: A.J. Wheeler and A.R. Ganji, Introduction to Engineering Experimentation, 3rd Edition, Pearson Education, 2010.
References: R.S. Figliola, and D.E. Beasley, Theory and Design for Mechanical Measurements, 5th Edition, Wiley, 2011.
E.O. Doebelin, Measurement Systems - Application and Design, 5th Edition, McGraw-Hill, 2004.
J.P. Holman, Experimental Methods for Engineers, 7th Edition, McGraw-Hill, 2010.
P.F. Dunn, Measurement and Data Analysis for Engineering and Science, 2nd Edition, Taylor&Francis/CRC Press, 2010.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

6

Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
12) In order to gain depth at least one, physics knowledge based on chemistry knowledge and mathematics; advanced mathematical knowledge, including multivariable mathematical and differential equations; familiarity with statistics and linear algebra.
13) The ability to work in both thermal and mechanical systems, including the design and implementation of such systems.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. 4
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. 3
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) 3
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
12) In order to gain depth at least one, physics knowledge based on chemistry knowledge and mathematics; advanced mathematical knowledge, including multivariable mathematical and differential equations; familiarity with statistics and linear algebra. 2
13) The ability to work in both thermal and mechanical systems, including the design and implementation of such systems. 2

Learning Activity and Teaching Methods

Field Study
Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Lab
Homework
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Individual Project
Presentation
Reporting

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Laboratory 1 % 10
Homework Assignments 1 % 10
Project 1 % 10
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 8 4 32
Application 14 1 14
Study Hours Out of Class 9 5 45
Project 1 10 10
Homework Assignments 2 2 4
Midterms 1 4 4
Final 1 8 8
Total Workload 145