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| MAKL5770 | Computational Heat Transfer | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of MECHANICAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Tülin BALİ | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The course aims at giving the student knowledge and proficiency in heat transfer and computational methods applied to heat transfer and modeling of practical and advanced heat transfer problems. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | analyze the problems of conduction, convection and radiation
| 1,4 | 1,3, | | PO - 2 : | apply to learn the computational methods | 1,4 | 1,3, | | PO - 3 : | develop their abilities of computer programming | 1,4 | 3, | | PO - 4 : | solve the practical and advanced heat transfer problems | 1,4 | 1,3, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Heat, mass transport and fluid flow. Analytical, experimental and numerical methods. Representative differential equations of heat transfer and fluid flow. Conduction. Runge-Kutta methods. Finite difference method. Iterative solution. Taylor series approximations. Numerical errors. Improvement of accuracy in numerical results. Convergence. Numerical solutions of steady and unsteady state conduction. Convection. Boundary and initial conditions. Numerical simulation. Energy equation. SIMPLEC algorithm. Grid generation. Numerical solution of turbulent flows. Transport properties. Computation of natural convection flow and transport. Radiation. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Heat, mass transport and fluid flow. Representative differential equations of heat transfer and fluid flow. | | | Week 2 | Analytical, experimental and numerical methods. | | | Week 3 | Conduction. | | | Week 4 | Runge-Kutta methods. | | | Week 5 | Finite difference method. Iterative solution. Taylor series approximations. Numerical errors. Improvement of accuracy in numerical results. Convergence. | | | Week 6 | Numerical solutions of steady and unsteady state conduction. | | | Week 7 | Convection. | | | Week 8 | Mid-term exam | | | Week 9 | Boundary and initial conditions. Numerical simulation. | | | Week 10 | Energy equation. SIMPLEC algorithm. | | | Week 11 | Numerical solution of turbulent flows. | | | Week 12 | Transport properties. | | | Week 13 | Computation of natural convection flow and transport. | | | Week 14 | Radiation. | | | Week 15 | | | | Week 16 | End-of-term exam | | | |
| 1 | Patankar, S.V.; 1980; Numerical heat transfer and fluid flow | | | |
| 1 | Anderson, D.A.; Tannehill, J.C. ; Pletcher, R.H. ,1984; Computational fluid mechanics and heat transfer, | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 25/11/2021 | 1,20 | 20 | | Homework/Assignment/Term-paper | 12 | 16/12/2021 | | 30 | | End-of-term exam | 16 | 20/01/2022 | 1,20 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 10 | 2 | 20 | | Arasınav | 1.2 | 1 | 1.2 | | Ödev | 5 | 4 | 20 | | Dönem sonu sınavı için hazırlık | 10 | 2 | 20 | | Dönem sonu sınavı | 1.2 | 1 | 1.2 | | Total work load | | | 146.4 |
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