Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Computer Aided Design Optimization | OTO 522 | 0 | 3 + 0 | 3 | 6 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | YUKSEK_LISANS |
Dersin Türü | Seçmeli |
Dersin Koordinatörü | Doç.Dr. MEHMET ÇALIŞKAN |
Dersi Verenler | |
Dersin Yardımcıları | |
Dersin Kategorisi | Diğer |
Dersin Amacı | This method uses computer-aided design (CAD) technology in the design process and applies optimization techniques to complex systems. It enables the development of the product design in planned working conditions. A complementary step of the design process. Will be a useful lesson for design engineers. |
Dersin İçeriği | 1. Design processes. 1.1. Conventional design process. 1.2. Computer Aided Design Optimization (CADO) process. 2. Optimization techniques 3. Advantages of CADO approach, 4. Gradient Projection Algorithm (GDP) 5. Sequential Quadratic Programming (SQP) 6. Sensitivity analyses 7. Optimization applications in engineering design |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | Plannig of design process | Lecture, Drilland Practice, Motivations to Show, Simulation, | Testing, Homework, |
2 | Ability to CAD in S&D process | Lecture, Drilland Practice, Motivations to Show, Simulation, | Testing, Homework, |
3 | Uses optimization techniques | Lecture, Drilland Practice, Motivations to Show, Simulation, | Testing, Homework, |
4 | Determining critical variables in design. | Demonstration, Case Study, Lab / Workshop, | Performance Task, |
5 | Ability to computer aided design optimizaton. | Demonstration, Case Study, Lab / Workshop, | Performance Task, |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
1 | Surveying of engineering design processes | |
2 | Optimization techniques | |
3 | Computer aided optimization | |
4 | Introducing of CAE software | |
5 | GDP and SQP algorithm selection | |
6 | Design variables and parameters | |
7 | Vize | |
8 | CAD model preparation for optimization study | |
9 | Definition of engineering criterias with design priorities. | |
10 | Sensitivity analyses | |
11 | Mechanical applications | |
12 | Mechanical applications | |
13 | Thermo-Mechanical application. | |
14 | Dynamic design optimization study. |
Kaynaklar | |
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Ders Notu | |
Ders Kaynakları |
Sıra | Program Çıktıları | Katkı Düzeyi | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | Ability to reach the knowledge expansion and depth by doing scientific research in the field of engineering, knowledge evaluation, interpretation and application skills | X | |||||
2 | To be able to develop strategies, policies and implementation plans in the field of automotive engineering and evaluate the results obtained within the framework of quality processes | X | |||||
3 | Ability to observe social, scientific and ethical values at the stages of collecting, interpreting and announcing the data and at all professional activities | ||||||
4 | Ability to manipulate and apply knowledge through scientific methods using existing data available, and the ability to integrate knowledge from different disciplines | X | |||||
5 | Ability to design engineering problems, to develop methods to solve and to apply innovative methods of solutions | X | |||||
6 | Ability to develop new and original ideas and methods; the ability to develop innovative solutions in system, component or process design | X | |||||
7 | Awareness of the new and developing practices of the profession; the ability to examine and learn when necessary | X | |||||
8 | Understanding the social and environmental dimensions of engineering practices and the ability to adapt to the social environment | ||||||
9 | Comprehensive information on modern techniques and methods applied in engineering and their boundaries | X | |||||
10 | The ability to transcribe the processes and outcomes of their work in a systematic and explicit way, either in writing or verbally, in the national and international contexts |
Değerlendirme Sistemi | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Ara Sınav | 60 |
1. Ödev | 20 |
2. Ödev | 20 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 50 |
1. Final | 50 |
Toplam | 100 |
AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
---|---|---|---|
Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
Hours for off-the-classroom study (Pre-study, practice) | 16 | 4 | 64 |
Mid-terms | 1 | 8 | 8 |
Assignment | 2 | 10 | 20 |
Final examination | 1 | 8 | 8 |
Toplam İş Yükü | 148 | ||
Toplam İş Yükü / 25 (Saat) | 5,92 | ||
Dersin AKTS Kredisi | 6 |