Resistance and Static Yaw Experiments
on the Underwater Vehicle "Phoenix"; Modeling and
Analysis, Utilizing Statistical Design of Experiments
Methodology
F. Azarsina', C.D. Williams2, L.M. Lye3
PhD student, Faculty of Engineering and Applied Science, Memo

1
A design of experiment aided sensitivity analysis
and parameterization for hydrological modeling
Hongjing Wu, Leonard M. Lye, and Bing Chen
Abstract: To provide a better understanding of the water balance in the Deer River watershed of the Hudson Bay lo

Congrs annuel de la Socit canadienne de gnie civil
Annual Conference of the Canadian Society for Civil Engineering
Moncton, Nouveau-Brunswick, Canada
4-7 juin 2003 / June 4-7, 2003
SOME APPLICATIONS OF STATISTICAL DESIGN OF EXPERIMENT
METHODOLOGY IN CIVIL

rd
3
ime
3 International Structural Specialty Conference
confrence internationale spcialise sur le gnie des structures
Edmonton, Alberta
June 6-9, 2012 / 6 au 9 juin 2012
Application of DOE Methodologies to the FEA of a Payload
Suspended on Drill Pipe fro

1st Water and Environment Specialty Conference of the Canadian Society for Civil Engineering
1re Confrence spcialise sur leau et lenvironnement de la Socit canadienne de gnie civil
Saskatoon, Saskatchewan, Canada
June 2-5, 2004 / 2-5 juin 2004
WE-56
USE O

Proc. 2014 Canadian Engineering Education Association (CEEA14) Conference
DEVELOPMENT AND USE OF SIMULATION APPS AND PHYSICAL TOYS FOR
TEACHING EXPERIMENTAL DESIGN PRINCIPLES
Leonard Lye, PEng, PhD, FCSCE, FEC
Associate Dean (Graduate Studies)
Faculty of

CEAB's Graduate Attribute 3.1.3: Investigations Is it really possible for engineering
graduates to possess this attribute?
Leonard Lye, PEng, PhD, FCSCE, FEC
Associate Dean (Graduate Studies)
Faculty of Engineering and Applied Science
Memorial University

Design and Analysis of Multi-Factored Experiments
Fall (2014) Assignment 1
One- and Two-Factor Factorial Designs
Whether of not specially asked, you should always (1) plot the data in any potentially useful
way, (2) state the assumptions made, (3) comment

Design and Analysis of Multi-Factored Experiments
Fall (2014) Assignment 2
2k Factorial Designs
Whether of not specially asked, you should always (1) plot the data in any potentially useful
way, (2) state the assumptions made, (3) comment on the appropria

Design and Analysis of Multi-Factored Experiments
Fall (2014) Assignment 4
Response Surface Designs
Whether or not specially asked, you should always (1) plot the data in any potentially useful
way, (2) state the assumptions made, (3) comment on the appro

Requirements for DOE Term Paper
ABSTRACT: This set of instructions outlines the required format of full papers for the DOE Term
Paper. The completed paper shall not exceed 10 pages. Authors are required to submit to Dr.
Leonard Lye one hard copy of the fu

Term Project (20%)
Engineering 9516
Guidelines
The project should be based on the design, conduct, and analysis of an experiment by
the student as part of his or her thesis work or some other hands-on experiments of
interest. This type of project would in

Design and Analysis of Multi-Factored Experiments
Fall (2014) Assignment 3
Blocking and Fractional Factorial Design
Whether of not specially asked, you should always (1) plot the data in any potentially useful
way, (2) state the assumptions made, (3) comm

Design and Analysis of
Multi-Factored Experiments
Engineering 9516
g
g
Dr. Leonard M. Lye, P.Eng, FCSCE, FEC
Professor and Associate Dean (Graduate Studies)
Faculty of Engineering and Applied Science, Memorial University of
Newfoundland
St. Johns, NL, A1B

8/15/2014
Design and Analysis of
Multi-Factored Experiments
RSM Optimal Designs
MLC
Sizing using FDS
Higher Order Models
Definitive Screening Designs
L. M. Lye
DOE Course
1
RSM: Types of Designs
Central Composite Design (CCD)
Classic 5-level design (or

Design and Analysis of
Multi-Factored Experiments
Part I
Experiments in smaller blocks
L. M. Lye
DOE Course
1
Design of Engineering Experiments
Blocking & Confounding in the 2k
Blocking is a technique for dealing with
controllable nuisance variables
Two

Design and Analysis of
Multi-Factored Experiments
Two-level Factorial Designs
L. M. Lye
DOE Course
1
The 2k Factorial Design
Special case of the general factorial design; k
factors,
factors all at two levels
The two levels are usually called low and hig

Design and Analysis of
Multi-Factored Experiments
Fractional Factorial Designs
L. M. Lye
DOE Course
1
Design of Engineering Experiments
The 2k-p Fractional Factorial Design
Motivation for fractional factorials is obvious; as
the number of factors become

Power of DOE
Some simple examples using 2level factorials
1
Newtons Law of Motion
Consider Newtons Law of motion: F = m.a
If nature knows this relationship but we
dont, how can we obtain the relationship
without years of theoretical research?
Lets try

Design and Analysis of
Multi-Factored Experiments
Response Surface Methodology
(RSM)
L . M. Lye
DOE Course
1
Introduction to Response Surface
Methodology (RSM)
Best and most comprehensive reference:
R. H. Myers, D. C. Montgomery and C. M. A. Cook
(2009)

8/20/2014
Design and Analysis of
Multi-Factored Experiments
Advanced Designs
-Hard to Change FactorsSplit-Plot Design and Analysis
L. M. Lye
DOE Course
1
Hard-to-Change Factors
Assume that a factor can be varied , with great difficulty,
in an experimenta

8/1/2012
Design and Analysis of
Multi-Factored Experiments
Dimensional Analysis
L. M. Lye
DOE Course
1
Dimensional Analysis
Dimensional analysis is a mathematical method
which is of considerable value in problems which
occur in engineering.
Dimensional

8/1/2012
Design and Analysis of
Multi-Factored Experiments
Fractional Factorials Not Based on
the Powers of 2 Irregular Designs
L. M. Lye
DOE Course
1
Plackett-Burman Designs
The standard two-level designs provide the choice
of 4, 8, 16, 32, or more runs

HOW TO SAVE RUNS, YET REVEAL BREAKTHROUGH INTERACTIONS, BY DOING ONLY A
SEMIFOLDOVER ON MEDIUM-RESOLUTION SCREENING DESIGNS
Mark J. Anderson
Principal
Stat-Ease, Inc.
2021 East Hennepin Ave, Suite 480
Minneapolis, MN 55413
Mark@StatEase.com
Patrick J. Whi

Power for Sizing Experiments
Factorial Designs
Engi 9516
Dr. Leonard M. Lye
Whats in this for me?
The key quesJon of experimenters is:
How many runs do I need in order to detect my eects?
Choosing a design

Rev 7/17/08
Residual Analysis and Diagnostic Plots Guide (p1/5)
Residual analysis is necessary to confirm that the assumptions for the
ANOVA are met. Other diagnostic plots may provide interesting
information in some situations. ALWAYS review these plots!

Numerical Optimization - dealing with multiple objectives
Use of the Desirability Function
To determine a best combination of n responses, we use an objective function, D:
The d/s reflect the desirability of each response and they range from 0 to 1 (least

Example of Multiple Response Optimization
Example: An example using the desirability approach present the following multiple response
experiment arising in the development of a tire tread compound. The controllable factors are: x1,
hydrated silica level,

A Short DOE Glossary
blocking
An experimental technique that allows the possible effects of known but uncontrolled variables to be
completely eliminated from an experiment. Here is a simple example. Suppose you wanted to do an
experiment comparing basketb