School/Faculty/Institute Faculty of Engineering
Course Code FLM 301
Course Title in English Fluid Mechanics
Course Title in Turkish Akışkanlar Mekaniği
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: none Lab: none Other: none
Estimated Student Workload 149 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites
PHYS 103 - Physics I
Expected Prior Knowledge Prior knowledge in ordinary and partial differential equations, and in general mechanics / fundamental principles of kinematics is expected. PHYS 103 Physics I and MATH 213 Differential Equations (co-requisite)
Co-requisites MATH 213 - Differential Equations
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To acquire a basic knowledge and understanding of important fluid properties and concepts of fluid flow to develop skills in solving engineering problems involving fluid both in static and flowing conditions, through the application of integral and differential approaches.
Course Description This course provides a comprehensive introduction to some fundamental aspects of fluid mechanics. The following topics are covered: Basic definitions, Fluid kinematics, Fluid statics, Manometers and measurement of pressure, Hydrostatic forces on plane and curved surfaces, Rigid body motion, Integral form of conservation equations, Control volume and system concepts, Bernoulli equation, Differential Analysis of Fluid Flow, Navier-Stokes equations and applications, Dimensional analysis and similitude, Viscous Flows in Pipes, External Flows.
Course Description in Turkish Bu derste; akışkanlar mekaniğinin temel kavramları şu konu başlıklar altında kapsamlı bir şekilde incelenmektedir: Temel tanımlar, Akışkanların kinematiği, Akışkanlar statiği, Manometreler ve basınç ölçümü, Dalmış düz ve eğri yüzeylere gelen kuvvetler, Blok halinde öteleme ve dönme, Korunum denklemlerinin integral hali, Denetim hacmi ve sistem kavramları, Bernoulli denklemi, Süreklilik, Momentum ve Enerji denklemlerinin diferansiyel formda türetilmesi, Navier-Stokes denklemleri ve uygulamaları, Boyut analizi ve benzerlik, Borularda akış, Dış akışlar.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Solve basic hydrostatics problems involving manometers and submerged surfaces;
2) Calculate impulse and reaction forces due to the interaction of a fluid stream with objects, and pressure drops using concepts of mass and momentum conservation for control volume;
3) Solve problems applying the Bernoulli’s equation;
4) Find simple viscous flow solutions using differential analysis;
5) Perform dimensional analysis for problems in fluid mechanics;
6) Demonstrate a knowledge of laminar and turbulent boundary layer fundamentals in pipe flow and external flow.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date MEHMET FEVZİ ÜNAL , September 2020
Course Coordinator MEHMET FEVZİ ÜNAL
Semester Fall
Name of Instructor Prof. Dr. MEHMET FEVZİ ÜNAL

Course Contents

Week Subject
1) The Concept and Properties of a Fluid, Basic Flow Analysis
2) Hydrostatic Forces on Surfaces, Manometer, Buoyancy
3) Eulerian vs. Lagrangian Description of Fluid Flow
4) Velocity Fields, Flow Lines
5) Control Volume Analysis: Conservation of Mass and Linear Momentum
6) Bernoulli’s Equation
7) Differential Analysis: Stream Function. Navier-Stokes Equations
8) Differential Analysis: Simple Viscous Flow Solutions
9) Dimensional Analysis and Similarity: Buckingham Pi Theorem
10) Dimensional Analysis and Similarity: Dimensionless Groups. Modeling
11) Pipe Flow: Entry Region. Fully Developed Flow
12) Pipe Flow: Laminar and Turbulent Flow. Losses
13) External Flows: Laminar and Turbulent Boundary Layers
14) External Flows: Flow Transition. Separation. Drag
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsCengel, Fluid Mechanics, Fundamentals and Applications, 4th edition (SI units), 2019
Teaching Methods“Flipped Classroom” as an active learning technique and contact hours
Homework and ProjectsHomework
Laboratory Worknone
Computer UseGetting information and simulations
Other Activitiesnone
Assessment Methods
Assessment Tools Count Weight
Quiz(zes) 8 % 30
Homework Assignments 4 % 10
Midterm(s) 1 % 30
Final Examination 1 % 30
TOTAL % 100
Course Administration unalf@mef.edu.tr
0 212 395 36 05
Instructor’s office and phone number: Köşk, 0 212 395 36 05 office hours: Tuesday, Thursday 14.00-15.00 email address: unalf@mef.edu.tr Rules for attendance: Minimum of 70% attendance required. Missing a quiz: Provided that proper documents of excuse are presented, each missed quiz by the student will be given a grade which is equal to the average of all of the other quizzes. No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, each missed midterm by the student will be given the grade of the final exam. No make-up will be given. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations. Statement on plagiarism: YÖK Regulations.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 3 2 98
Homework Assignments 4 3 12
Quiz(zes) 8 2 0.2 17.6
Midterm(s) 1 5 2 7
Final Examination 1 14 2 16
Total Workload 150.6
Total Workload/25 6.0
ECTS 6