TÜRKÇE
ENGLISH
Information
| Code | TM0023 |
| Name | Simulation works on agricultural machinery |
| Term | 2024-2025 Academic Year |
| Term | Fall |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
Doç. Dr. TUNAHAN ERDEM
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Have knowledge in drying technologies and its simulations.
Course Content
1. Introduction 2. The Importance Of Dried Fruits And Vegetables In Nutrition 3. Drying Economy 4.Thermodynamic (Psychrometric) Properties Of Humid Air Used During Drying 5. Drying Biological Materials 6. Quality Changes Occuring During Drying 7.Water Activity And Its Importance 8. Characteristics Of The Drying Curves 9. Mathematical Modeling Of Drying Curves 10. Diffusion Theory 11. The Importance Of Mathematical Modeling In Terms Of Drying Technologies 12. Pre-Processes That Can Be Applied Before Drying 13. Classification Of Dryers 14. Solar Powered Dryers 15. Hot Air Drying Systems 16. Microwave Drying Systems 17. Infrared Radiation Energy Drying Systems 18. Freeze Drying Systems
Course Precondition
The prerequisite for the course is to know statistics.
Resources
Drying Fundementals (Mohsenin)
Notes
https://library.cu.edu.tr/cu/e-kaynaklar/veritabanlari
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns;Fully Embedded Analysis Static Stress Analysis1 Fatigue Studies Kinematic Motion (Time-Based) Trend Tracker. |
| LO02 | Learns; Detecting Unconstrained Bodies Kinematic Motion (Event-Based) Submodeling 2D Simplification. |
| LO03 | Learns thermal analysis methods. |
| LO04 | Gains knowledge about material selection and material economy in simulation results. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To understand the impact of engineering solutions in a global and societal context and gain the ability to correctly interpret it. | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | MSc's degree enables graduates to expand and deepen their knowledge, access knowledge through scientific research, information, evaluation, interpretation, and application. | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | To be able to complete information with scientific methods using limited or incomplete data and to apply this information with scientific and social responsibility. | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Solve problems related to the field by using research methods and establishing cause-effect relationships. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Develops new solution theories, starting with the construction of a problem related to the area of the expertise | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to strategically take the lead in solving original and interdisciplinary problems. | |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to assess the strategic performance of workgroups and contribute to them. | |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To conrtibute to the process of becoming an information society by making known social and cultural imrprovements in an academic and professional context. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | To be able to devise new strategic approaches in unanticipated complex situations and be able to think up solutions by taking reponsibility | 2 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | To recognize and apply national and international laws and regulations related to agricultural machinery and technologies. | |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | The results of the studies can be conveyed systematically and clearly to groups in or outside the field, both in writing or orally, both at home and abroad, using at least one foreign language. | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses computer software and information and communication technologies at an advanced level required by the field. | 3 |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Acts in accordance with ethical principles, professional and ethical responsibility, and standards used in engineering practices |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Fully Embedded Analysis | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 2 | Static Stress Analysis1 | No preparations. | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Fatigue Studies | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 4 | 1. Kinematic Motion (Time-Based) | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 5 | Static Stress Analysis1 Fatigue Studies Kinematic Motion (Time-Based) Trend Tracker | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | Detecting Unconstrained Bodies | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 7 | Kinematic Motion (Time-Based) | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | No preparations. | Ölçme Yöntemleri: Ödev |
| 9 | Submodeling | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 10 | 2D Simplification | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 11 | Optimization | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 12 | Thermal Analysis | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 13 | Buckling Analysis | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Frequency Analysis | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Drop Test Analysis Pressure Vessel Analysi | No preparations. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | No preparations. | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | No preparations. | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 154 | ||
| Total Workload / 25 (h) | 6,16 | ||
| ECTS | 6 ECTS | ||