AEROENG 5616
Transcript Abbreviation:
AdvFltVehDesign
Course Description:
The course introduces advanced flight vehicle design techniques applied during the conceptual design phase. The optimum design process and problem formulation is introduced, with an in-depth focus on multivariate graphical optimization techniques for aircraft. We will conduct optimal design based on first principles, and apply best practices to multidisciplinary flight vehicle design.
Course Levels:
Undergraduate (1000-5000 level)
Graduate (5000-8000 level)
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits:
(N/A)
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq or concur: 4550, and 4515 or 4517; or Grad standing in AeroEng; or permission of instructor.
Electronically Enforced:
No
Exclusions:
(N/A)
Course Goals / Objectives:
Quantify flight vehicle systems by selecting appropriate design parameters
Develop a beginning understanding of optimum design concepts and problem formulation
Understand and apply graphical optimization techniques used in flight vehicle design
Perform multivariate analysis and perform design evaluations to graphical optimization results
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| Recent advances in flight vehicle design | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Design analysis: pros and cons to innovative aircraft configurations | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Selection process of design parameters | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Introduction to the optimum design process and problem formulation | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Introduction to optimum design concepts | 7.0 | 0.0 | 0 | 0.0 | 0 |
| Graphical optimization | 5.0 | 0.0 | 0 | 0.0 | 0 |
| Introduction to optimum design with MATLAB | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Applications of multivariate design analysis utilizing graphical optimization techniques | 5.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 39 | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| homework | 30% |
| midterm exam | 20% |
| design project | 25% |
| final exam | 25% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Advanced Aircraft Design | Torenbeek, Egbert; | |
| Introduction to Optimum Design | Arora, Jasbir | |
| Course Notes from Instructor |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Significant contribution (7+ hours) | 1 | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| Significant contribution (7+ hours) | 2 | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| Substantial contribution (3-6 hours) | 3 | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| Some contribution (1-2 hours) | 4 | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| Some contribution (1-2 hours) | 6 | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| Some contribution (1-2 hours) | 7 | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info: