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Enhancing the Students’ Abilities in Experimental Designs through Design-Expert

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2011 ASEE Annual Conference & Exposition


Vancouver, BC

Publication Date

June 26, 2011

Start Date

June 26, 2011

End Date

June 29, 2011



Conference Session

Electrical and Computer Engineering Laboratories

Tagged Division

Division Experimentation & Lab-Oriented Studies

Page Count


Page Numbers

22.627.1 - 22.627.15



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Paper Authors


Charles Lu University of Kentucky

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Y. Charles Lu is an Assistant Professor at Department of Mechanical Engineering at the University of Kentucky, Paducah. His research interests include: 1.) micromechanics and nanomechanics; 2.) polymers, elastomers, composites, and advanced materials, 3.) finite element analysis and mechanical design. Dr. Lu received the 2010 SAE International Ralph R. Teetor Educational Award for his contributions to mobility-related research, teaching and student development. He was also the recipient of the Outstanding Mechanical Engineering Faculty Award (2009), Paducah Outstanding Faculty Award (2009), ASEE Air Force Summer Faculty Fellowships (2009, 2010), Dana Engineering Achievement Award (2002), Dana Technical Achievement Awards (2002 - 2006), and several poster awards co-authored with students. Dr. Lu is licensed Professional Engineer in the state of Kentucky.

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Enhancing the Students’ Abilities in Experimental Designs through Design-Expert Y. Charles Lu Assistant Professor Department of Mechanical Engineering University of Kentucky AbstractAt the University of Kentucky, all mechanical engineering students are required to take asequence of experimentation courses: Engineering Experimentation Ι (ME310) andEngineering Experimentation ΙΙ (ME311). Engineering Experimentation ΙΙ is an advancedlaboratory course with the specific goal to enhance the students’ abilities in experimentaldesign, to partially satisfy the ABET’s learning outcome. Experimental design, alsoknown as the DOE, relies on principles of combinatorial mathematics such ascombination, permutation, factorial, blocking, Latin square, etc. The analysis ofexperiments uses theories from statistics such as hypothesis, t-test, ANOVA, etc.It is often hard for the students to manually design experimental layouts if they do nothave sufficient combinatorial mathematics background. The theories of statisticalanalysis are relatively easy for students to grasp, but the calculations can be tedious andtime-consuming. These issues could potentially shift the course focus away fromexperimentation and thus jeopardize the students’ interests in this important subject. ADesign-Expert software has been integrated into the experimentation course to helpstudents learn the principles of the DOE. Students have used the software for designingthe experiments and analyzing the results. This paper presents example lectures andexperiments to demonstrate the effectiveness of the software. The impact on students’abilities in experimental designs is also discussed.

Lu, C. (2011, June), Enhancing the Students’ Abilities in Experimental Designs through Design-Expert Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--17908

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