
Instructor: Prof. Gary
Halada
Office: Room 308, Old Engineering Building
Office Hours: Monday 1:00 p.m. - 2:00 p.m.
Tuesday 1:00 p.m. - 2:30 p.m.
Phone: 2-8526
Email: ghalada@ms.cc.sunysb.edu
Recitation T.A.'s: Juhi Bansal and Haobin Luo
Computer Laboratory T.A.'s: Wesley Francillon and Dong Han
Lecture: MW 2:20 - 3:40 p.m. Chem 128
Reciation: (1) W 3:50 - 4:45 p.m. Chem 128
(2) F 2:20 - 3:15 p.m. Soc. and Beh. Sci., N109
Lab: (1) W 5:20 - 8:20 p.m. Eng. 236A
(2) Tu 3:50 - 6:50 p.m. Eng. 236A
We will try to have the computer lab open for additional hours
as the semester progresses, and we, depending on the class size, you
may have the option of attending either lab time.
Corequisite: ESG 300 -- Communication in Engineering
Course Description:
This course involves understanding the uses of mathematical methods
and computer assisted design (CAD), simulation and analysis in
engineering design. To these ends we will review a number of topics
basic to successful engineering design including: modeling and
simulation, optimization, materials selection, engineering economics,
reliability theory, and engineering statistics. Furthermore, we will
review techniques for communicating and report writing, culminating in
writing a design report and giving a short oral presentation at the end
of the semester.
(Note: The successful completion of this report and the associated oral
presentation will be essential to receiving a satisfactory grade in ESG 300,
the corequisite of this course. It will also be necessary to submit a final portfolio,
which will include HW, lab assignments and tests, in order to complete
course requirments. This portfolio will be discussed more fully in class)
Laboratories and some lectures will explore the many uses of computers in
engineering design, simulation, analysis and prototyping for a variety of design types.
Programs to be used include (but are not restricted to) AutoCAD (for CAD,
detailed technical drawing and study of perspective),
Microsoft Excel (spreadsheets, finite element methods), finite element analysis
and software associated with a the college facility for rapid prototyping.
All run in a Windows environment.
No software may be copied or removed from the lab. All instruction
manuals, etc. will remain in the lab or be returned to the TA's.
Computers in the laboratory will be networked together and to the campus
network. Assignments and additional reading will be posted on the lab web
page, and some laboratory assignments will involve use of shared files placed
on the CAE laboratory computer network.
Texts:
The Engineering Design Process, 2nd Edition, by A. Ertas and J. Jones
(Wiley, 1996)
AutoCAD 2002 Tutorial: Volume 2 3D Modeling, by Randy H. Shih
Recommended (and on reserve):
Engineering Design: A Materials and Processing Approach, 3rd edition,
by G. Dieter (McGraw-Hill, 2000)
Additional texts on AutoCAD, etc. will be put on reserve in the engineering
library or will be available for use in the computer laboratory
during the semester as needed.
Grading:
2 tests (one around midterm time, one final): 40% of grade
Homeworks (4-6)
and lab work (4-5 projects): 35% of grade
Final project
written: 20% of grade
oral: 5% of grade
Total: 100%
Note: Submission of portfolio of all assignments and tests will also be
required.
Test will cover Ch. 6, 7 and 8 in Ertas and Jones plus related materials: Ch. 6: Optimization Methods: Differential methods of optimization Lagrange multiplier method Search methods, including equal interval (uniform in Dieter, 206), sequential (Dieter), Golden mean section methods Multivariable search methods, including steepest descent/ascent (gradient vector) methods Linear programming (graphical) search methods Sensitivity analysis (Dieter, 229) Chapter 7: Statistical Decisions IN ALL CASES KNOW HOW THESE RELATE TO DESIGN AND QC or FAILURE ANALYSIS HOW THEY MIGHT BE APPLIED! Random distributions Central tendency measurements (mean, mode, median) Measure of variability (range, standard deviation, variance) Measure of skewness Binomial probability distributions Weibull, gamma distributions Normal (Gaussian) distribution, including unit normal distributions Sampling distributions, including z statistic, t distribution, F distribution, chi-square distribution Statistical estimation and Hypothesis testing (know how it is done, how to apply) Statistical process control and process capability Know what factorial experimental design (Dieter) is. Ch. 8: Design for Reliability Use of probability, including Bayes Theorem Basic Reliabilty equation (including cases of constant failure rate) Mean Time to Failure Probability distribution fuctions used in reliability, including bathtub hazard distribution, exponential distribution and Weibull distribution Basic system reliability, including series, parallel and mixed.
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JQ.