EGM 4473 Experimental Optimum Engineering Design

EAS 6939 Approximation and Optimization in Engineering

Fall 2008

10/10: Exam material posted.

10/1;7:  Second phase of project defined.  Needs to include revised first phase. Due 10/24.

9/17: Third homework assigned. Due 9/26. For an example with more than 2 design variables, go to:

 

...\SurrogatesToolBox1p1\examples\radialturbine. Then open the "exampleRadialTurbine.m" file. Besides surrogate construction this example also has global sensitivity analysis, but that part is very time consuming.

BASIC INFORMATION

Time and Place: MWF 3rd Period, MAE-A 327

Instructor: Raphael T. Haftka (haftka@ufl.edu)

Project TA: Nádia Martins Chaves <nadiamchaves@gmail.com>

220 MAE-A. Office hours: MTF 4-5PM

Teaching Assistant: TBA

Textbook: none.

References: Forrester, Sobester, and Keane, Surrogate Models in Engineering Design, John Wiley, 2008.

Arora, J.S., Introduction to Optimum Design, 2nd edition, Elsevier, 2004.

Vanderplaats, G.N., Numerical Optimization Techniques for Engineering Design, VR&D, 1998.

Objective: Introduce students to the use of approximation based optimization for design based on analytical models and experiments.

Catalog Information: Formulation of design objectives as optimization problems. Application of optimization techniques to design. Surrogate (approximation) techniques for analytical and experimental optimum engineering design. Experimental optimization applied to a design project. Prerequisite: MAP 3302, or EGM3311.

Topics:

 

COURSE ASSESSMENT

Homework: Homework assignments help students absorb methodology and concepts taught in the course and prepare them for the project and exams. There is 20% bonus for homework done by a word processor with detailed explanations at the level of posted solutions. Homework cannot be submitted after a solution is posted, typically 2 days after it is collected. Homework may be submitted with no late penalty by 5PM on the day due (put in my mailbox). After that, there is 10% penalty per day. Undergraduate students do not have to hand in problems with asterisks. Also, they are eligible for 20% credit for doing one problem of each homework set by word processors with detailed explanations.

Project: The course project involves design of a simple system—a paper helicopter—that can be fabricated and tested in a number of variants. Project has three phases: (i) tests to deveop an analytical model; (ii) deterministic design; and (iii) design under uncertainty. Project presentations and written reports will be due at the end of each phase. The class will be divided into three teams with rotating leadership for each team. Each team will be responsible as a group for fabrication and testing of helicopters and for presentations. However, reports will be written individually by each student.

Exams: In-class exams are closed book, except for one 8.5"x11" page, written in any density (student may bring a magnifier).

Grading Policy: 25% homework, 40% mid-term exams, 35% project. Grades are on a absolute scale (A=91+, B+=86+, B=81+, etc.). Predicted grades, based on homework and progress to date are posted during the semester beginning after the first in-term exam.

Academic honesty: All students admitted to the University of Florida have signed a statement of academic honesty committing them to be honest in all academic work and understanding that failure to comply with this commitment will result in disciplinary action. This statement is a reminder to uphold your obligation as a student at the University of Florida and to be honest in all work submitted and exams taken in this class and all others.

 

 

 

 

 

 

 

 

 

Enjoy. All feedback is welcome. Do not hesitate to contact me with any problems. Email me at haftka@ufl.edu