DESIGN OF THERMAL SYSTEM

ME468

Course Code: ME468
Semester: Seventh Term (Fall)
Theory+Practice: 3 + 1
ECTS: 4

Course Type

Compulsory Course

Course Level

Bachelor's Degree

Year of Study

Semester

Seventh Term (Fall)

ECTS

Name of Lecturer(s)

Assistant Professor Erol Çubukçu

Learning Outcomes

At the end of this course, the students;

Learning the application of the engineering method to thermal system design
Learning the connection between fluid mechanics and friction and geometric resistances
Learning about heat transfer and energy transport in thermal systems.
Learning the working principles of heat exchangers used in thermal systems
Learning the types and usage areas of heat exchangers in thermal systems
Learning the integration and analysis of elements in thermal systems
Learning the design of thermal systems

Mode of Delivery

Face to face

Prerequisites

Yes(ME321)

Recommended Optional Programme Components

Course Description

Systems design concepts. Mathematical modeling. Optimization methods. Steady state simulation of large systems; fans, pumps, heat exchangers, exchangers, expanders, flow in conduits. Dynamic behavior of thermal systems. Computer aided design.

Course Contents

WEEK	TOPICS
1^st Week	1st Week Thermal systems.
2^nd Week	2nd Week Fundamentals of system design.
3^rd Week	3rd Week Fundamentals of mathematical modelling.
4^th Week	4th Week Matematiksel modelleme uygulamaları
5^th Week	5th Week Optimization methods.
6^th Week	6th Week Steady state simulation of large systems
7^th Week	7th Week Fans and pumps.
8^th Week	8th Week Heat exchangers.
9^th Week	9th Week Nozzles and diffusers.
10^th Week	10th Week Flow in conduits.
11^th Week	11th Week Dynamic behavior of thermal systems
12^th Week	12th Week Applications of thermal systems.
13^th Week	13th Week Fundamentals of computer aided design.
14^th Week	14th Week Computer aided design applications.

Recommended or Required Reading

(1) Heating Systems, Plant and Control, Antony R. Day, Martin S. Ratcliffe, Keith Shepherd, Wiley-Blackwell, 2003. (2) Mathematical Modeling and Simulation: Introduction for Scientists and Engineers, Kai Velten, Wiley, 2008. (3) Mathematical Models of Fluid Dynamics: Modelling, Theory, Basic Numerical Facts - An Introduction, 2nd updated edition, Rainer Ansorge, Thomas Sonar, Wiley, 2009.

Planned Learning Activities and Teaching Methods

Lecture
Project
Practice

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	2	60
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz	7	0.5	3.5
Individual or group work	14	1	14
Preparation for Final exam	14	1	14
Course hours	14	3	42
Preparation for Midterm exam	7	1	7
Laboratory (including preparation)
Final exam	1	2	2
Homework	5	1	5
Project	1	24	24
Quiz	5	0.5	2.5
Total Work Load			116
Total Work Load / 30 (h)			3.86
ECTS Credit of the Course			4

Language of Instruction

English

Work Placement(s)

Programme Qualifications / Learning Outcomes

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