Factorial Design of Experiments for Laboratories Incorporating  Engineering Materials

David R. Veazie; Daniel Edward Ephraim

Download Paper | Permalink

Conference: 2012 ASEE Annual Conference & Exposition
Location: San Antonio, Texas
Publication Date: June 10, 2012
Start Date: June 10, 2012
End Date: June 13, 2012
ISSN: 2153-5965
Conference Session: Innovative Uses of Technology and Techniques for Laboratory Exercises
Tagged Division: Division Experimentation & Lab-Oriented Studies
Page Count: 13
Page Numbers: 25.628.1 - 25.628.13
DOI: 10.18260/1-2--21385
Permanent URL: https://peer.asee.org/21385
Download Count: 595

Paper Authors

biography

David R. Veazie Southern Polytechnic State University

visit author page

David Veazie received his B.S. in mechanical engineering from Southern University in 1986, and his M.S. and Ph.D. in mechanical engineering from Georgia Tech in 1987 and 1993, respectively. He worked for AT&T Bell Laboratories in New Jersey as a member of the technical staff and was a National Research Council (NRC) Postdoctoral Fellow at the NASA Langley Research Center. In 1994, he joined Clark Atlanta University’s Department of Engineering, and was the Director of the Mechanical Testing Laboratories (MTL) and Associate Director of the NASA-funded High Performance Polymers and Composites (HiPPAC) Center. Presently, he is a professor of mechanical engineering technology and the Director of the Center for Advanced Materials Research and Education (CAMRE) at the Southern Polytechnic State University. Veazie was named the National Technical Achiever and National Educator of the Year by the National Technical Association, and he is the recipient of the Faculty Award for Research from NASA, the SAIC Award for Advising Excellence for the Research Papers, the School of Arts & Sciences Best Mentor Award, and has more than 60 refereed publications and conference proceedings. Veazie has 20 years experience in mechanical property characterization and durability of composite materials, accelerated testing methods, thermal and physical aging, environmental effects, fatigue life, and fracture. He manages research projects for DoD (Army Research Laboratory, Air Force, and Office of Naval Research), NASA, USDA-Forest Products Laboratory, Lockheed-Martin, Boeing, Thiokol, Southwest Research Institute, and Honeywell. These projects include Durability Modeling for High Speed Research, Impact Damage, Reliability of Rotorcraft Composite Dynamic Components, Micro Electro-Mechanical Systems, Polyimide Foams and Aerogels for Aerospace Vehicles, and Multi-Scale Modeling of Advanced Thick Composite Armor Plates. Veazie is also a Faculty Research Program Participant for the U.S. Nuclear Regulatory Commission and the Air Force Research Laboratory.

visit author page

author page

Daniel Edward Ephraim

Download Paper | Permalink

Abstract

Factorial Design of Experiments for Laboratories Incorporating Engineering MaterialsEngineering laboratory experiments that involve materials and/or material properties are oftendesigned to establish an level of specification and implementation methodology. Often theselaboratory experiments are developed for well defined systems in controlled environments totake advantage of limited resources (i.e., materials, testing supplies, laboratory space, time, etc.).Material systems that incorporate a dependence on more that one parameter for processing andsubsequent characterization pose a significant problem in that the experiment designer may notpossess the information to identify the key parameters that influence the critical propertiessought after. The ultimate goal is to predict parameters and properties based on a limited numberof experiments or available data.The proposed methodology in this paper describes a general full factorial design for experimentsinvolving the processing of materials for characterization. This Factorial Design Analysis (FDA)approach facilitates a ‘between-participants’ design analysis that includes more than oneindependent variable, and has the advantage over a simple randomized design in that you can testthe effect of more than one independent variable and the interactive effect of the variousindependent variables. The method is validated for the optimization of the boundary conditionsthat influence the material properties of electrodeposited metals. Specifically, a 2k factorialstatistical analysis is conducted, analyzed, and a mathematical model derived, to describe howthe electrolytes’ boundary conditions influence the mechanical properties of electrodepositednickel-iron (Ni80Fe20). The critical external boundary conditions examined for this materialsystem include the current density of the electrolytic bath, the bath temperature, and the speed ofagitation in the bath. Results show the ANOVA (analysis of variance) table of results for thecritical factors, as well as the F-test on the interactions. Based on the results, regression modelsare developed and surface plots presented for the Young’s modulus and strength of the materialsystem as a function of the external boundary conditions.

Citation
Format

Veazie, D. R., & Ephraim, D. E. (2012, June), Factorial Design of Experiments for Laboratories Incorporating Engineering Materials Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. 10.18260/1-2--21385

TY  - CPAPER
AB  -          Factorial Design of Experiments for Laboratories Incorporating                              Engineering MaterialsEngineering laboratory experiments that involve materials and/or material properties are oftendesigned to establish an level of specification and implementation methodology. Often theselaboratory experiments are developed for well defined systems in controlled environments totake advantage of limited resources (i.e., materials, testing supplies, laboratory space, time, etc.).Material systems that incorporate a dependence on more that one parameter for processing andsubsequent characterization pose a significant problem in that the experiment designer may notpossess the information to identify the key parameters that influence the critical propertiessought after. The ultimate goal is to predict parameters and properties based on a limited numberof experiments or available data.The proposed methodology in this paper describes a general full factorial design for experimentsinvolving the processing of materials for characterization. This Factorial Design Analysis (FDA)approach facilitates a ‘between-participants’ design analysis that includes more than oneindependent variable, and has the advantage over a simple randomized design in that you can testthe effect of more than one independent variable and the interactive effect of the variousindependent variables. The method is validated for the optimization of the boundary conditionsthat influence the material properties of electrodeposited metals. Specifically, a 2k factorialstatistical analysis is conducted, analyzed, and a mathematical model derived, to describe howthe electrolytes’ boundary conditions influence the mechanical properties of electrodepositednickel-iron (Ni80Fe20). The critical external boundary conditions examined for this materialsystem include the current density of the electrolytic bath, the bath temperature, and the speed ofagitation in the bath. Results show the ANOVA (analysis of variance) table of results for thecritical factors, as well as the F-test on the interactions. Based on the results, regression modelsare developed and surface plots presented for the Young’s modulus and strength of the materialsystem as a function of the external boundary conditions.
AU  - David R. Veazie
AU  - Daniel Edward Ephraim
CY  - San Antonio, Texas
DA  - 2012/06/10
PB  - ASEE Conferences
TI  - Factorial Design of Experiments for Laboratories Incorporating  Engineering Materials
UR  - https://peer.asee.org/21385
DO  - 10.18260/1-2--21385
ER  -