Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Deparment of Mechanical Engineering
  • Course Structure Diagram with Credits
  • Heat Transfer
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MKM303 - Heat Transfer
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 4+0
ECTS 5.0
Course Instructor(s) PROFESÖR EMİN AÇIKKALP
Mode of Delivery The mode of delivery of this course is Face to face.
Prerequisites None
Courses Recomended FİZ105, FİZ106, EMAT111, EMAT112, EMAT211,MEK323
Recommended Reading List Heat and Mass Transfer: Fundamentals and Applications By Yunus Cengel and Afshin Ghajar
Assessment methods and criteria 1 Midterm, 1 Final
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Modes of heat transfer (conduction, convection, radiation), engineering relevance, key definitions
Week - 2 Basic conduction law, heat flux, thermal conductivity
Week - 3 Single/multilayer walls, composite structures, thermal resistance model
Week - 4 Steady-state conduction in cylindrical and spherical systems
Week - 5 Extended Surfaces (Fins) types, performance, efficiency, effectiveness
Week - 6 Lumped capacitance model, Biot and Fourier numbers, basic transient analysis
Week - 7 Semi-infinite solids, chart and table methods, practical examples
Week - 8 Newton’s law of cooling, types of convection, boundary layer concept
Week - 9 Pipe flow, Reynolds and Nusselt numbers, heat transfer coefficients
Week - 10 Flow over flat plates and cylinders, empirical correlations
Week - 11 Grashof and Rayleigh numbers, applications of natural convection
Week - 12 Stefan-Boltzmann, Planck, and Kirchhoff laws, gray body approximation
Week - 13 View factors, radiation resistances, network method
Week - 14 Thematic recap, industrial applications, complex problem-solving sessions

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Environmental awareness
  • Effective use of a foreign language
  • Work in teams
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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