| School/Faculty/Institute | Faculty of Engineering | |||||||||
| Course Code | ME 479 | |||||||||
| Course Title in English | Vehicle Design and Simulation | |||||||||
| Course Title in Turkish | Araç Tasarımı ve Simulasyonu | |||||||||
| Language of Instruction | EN | |||||||||
| Type of Course | Flipped Classroom | |||||||||
| Level of Course | Select | |||||||||
| Semester | Fall | |||||||||
| Contact Hours per Week |
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| Estimated Student Workload | 152 hours per semester | |||||||||
| Number of Credits | 6 ECTS | |||||||||
| Grading Mode | Standard Letter Grade | |||||||||
| Pre-requisites | None | |||||||||
| Expected Prior Knowledge | Linear Algebra ( MATH 211) | |||||||||
| Co-requisites | None | |||||||||
| Registration Restrictions | Linear Algebra | |||||||||
| Overall Educational Objective | To acquire a basic knowledge and understanding of design and analysis methodology of ground and air vehicles in crash safety, vibration, aerodynamics and noise. To support and develop usage of computational skills and tools via engineering numerical methods such as finite element in computational solid mechanics, finite volume in computational fluid dynamics. To be familiar with building block approach in design and certification by analysis approach in simulation as a current trend in modern vehicle engineering programs. | |||||||||
| Course Description | This course provides a comprehensive analysis of vehicle design building block approach and simulation methodology under vehicle development programs parallel to industrial best practices. Main pillars of the modern vehicle developments programs; vehicle manufacturing and materials in design, vehicle electric battery systems, crash safety and regulations, vehicle external aerodynamics and fluid flow, vehicle noise, aero-acoustic and vibration will be investigated using computational numerical methods. As a numerical method, finite element in solid mechanics and finite volume in fluid mechanics will be practiced. The following topics are covered: material selection and manufacturing in vehicle design, battery electrical vehicles in trend, structural crashworthiness, occupant safety and restrain systems analysis using nonlinear explicit transient dynamics method, natural frequency and dynamic stiffness analysis of vehicle main body, global bending and torsional stiffness and frequency of vehicle main body, introduction to external aerodynamic design and analysis of fluid flow over vehicle, drag, lift, pressure and velocity streamline calculations in vehicle aerodynamics. Validation and verification procedures considering simulation results versus test. Certification by analysis approach in current engineering world. | |||||||||
| Course Description in Turkish | Bu derste; yer ve hava araçları tasarımı ve simulasyonları endüstriyel pratiklere paralel olarak incelenecektir. Ders kapsamında endüstriyel araç geliştirme programları çerçevesinde üretim ve malzeme seçimi, elektrikli battery sistemleri, araç çarpışma güvenliği, araç aerodinamiği, araç titreşim ve aero-akustiği hesaplamalı numerik yöntemleri kullanılarak uygulamalı analiz edilecektir. Araç güvenliğinde yapısal çarpışma performansı , yolcu güvenliği, araç eğilme ve burulma rijitlik ve doğal frekansları, araç aerodinamğinde araç etrafı akış, sürükleme ve kaldırma kuvvetleri basınç ve hız dağılımı ve bunların aero-akustik olarak komfor etkisi ele alınacaktır. Analiz amaçlı numerik yöntemler olarak sonlu elemanlar ve sonlu hacimler yöntemi kullanılacaktır. Son olarak simulasyon ve test korelasyon prosedürleri ve simulasyon ile araç sertifikasyonu konularında bilgi verilecektir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Understand design methodology and building block approach 2) Understand importance of material selection and manufacturing in vehicle development 3) Understand electric vehicles and battery systems 4) Analyze crash, vibration, aerodynamic, aero-acoustic problems 5) Interpret analysis results using engineering judgement 6) Understand verification and validation procedures considering simulation vs test 7) Solve complex engineering problem by modeling in FE and CFD software and prepare project report in industrial standards 8) Prepare project report and presentation to communicate effectively with range of audiences in engineering community 9) Recognize professional responsibility in computer simulation 10) Apply certification by analysis approach in computer aided engineering |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||||||
| 6) Internalization and dissemination of professional ethical standards. | ||||||||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | ALİ ÇINAR , July 2024 |
| Course Coordinator | ALİ ÇINAR |
| Semester | Fall |
| Name of Instructor |
| Week | Subject |
| 1) | Vehicle Design overview, building block approach |
| 2) | Material selection and manufacturing principles in design |
| 3) | Vehicle Crashworthiness and Occupant Safety Analysis |
| 4) | Vehicle vibration and acoustics analysis |
| 5) | Vehicle external aerodynamics analysis |
| 6) | Computational numerical methods finite element, introduction to FEA |
| 7) | Understanding structural dynamic analysis, explicit and implicit methods, Engineering assessment of results |
| 8) | Computational numerical methods finite volume, introduction to CFD |
| 9) | Understanding fluid dynamics analysis, engineering assessment of results |
| 10) | Errors in computational methods and numerical analysis |
| 11) | Simulation vs test correlation, certification by analysis approach |
| 12) | Final project: Real Engineering Problem Modeled with FEM, and Analyzed under Various Loading Conditions, Results and Conclusions are Submitted in a Report. |
| 13) | Final project: Real Engineering Problem Modeled with FEM, and Analyzed under Various Loading Conditions, Results and Conclusions are Submitted in a Report. |
| 14) | Final project: Real Engineering Problem Modeled with FEM, and Analyzed under Various Loading Conditions, Results and Conclusions are Submitted in a Report. |
| 15) | Final Examination / Project / Presentation Period |
| 16) | Final Examination / Project / Presentation Period |
| Required/Recommended Readings | Abaqus 6.14 Documentation Bs SIMULIA, http://abaqus.software.polimi.it/v6.14/index.html LS-DYNA R-12 https://www.lstc.com/products/ls-dyna | ||||||
| Teaching Methods | Lectures/contact hours using computer for modeling and simulations in computer lab Homework | ||||||
| Homework and Projects | Home works and Final Project will be given as teaching method | ||||||
| Laboratory Work | Computer Lab only | ||||||
| Computer Use | Computer will be used for pre and post processing of the FE model (preparing FE model and examining results) and running FE model. Home works and Final Projects will be done in computer lab. | ||||||
| Other Activities | none | ||||||
| Assessment Methods |
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| Course Administration |
sengozk@mef.edu.tr> 0536-704-0245 Rules for attendance: Classroom attendance contributes to 14% of the final grade. Missing Homework: Provided that proper documents of excuse are presented, each missed HW by the student, late submission will be accepted until the end of semester. Missing a Final Project: Provided that proper documents of excuse are presented, each missed final project by the student, late submission will be accepted until the final exam period. Missing a final: No final Exam. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 1 | 70 | ||
| Project | 1 | 2 | 15 | 15 | 32 | ||
| Homework Assignments | 10 | 1 | 4 | 50 | |||
| Total Workload | 152 | ||||||
| Total Workload/25 | 6.1 | ||||||
| ECTS | 6 | ||||||