Design-of-experiments: A how-to guide
Photo by Carlos Muza on Unsplash
What is it about?
This paper is the third and final part of a short series of articles aimed towards describing some of the various statistical methods and approaches that have been used in surface finishing. Here, various types of Design-of-Experiments (DOE) techniques are described, such as full and fractional factorial design, central composite design, response surface methodology and Taguchi methods. Their application in the design of surface finishing related experiments are then reviewed, ending with a worked example of a two-level 2^4 full factorial DOE.
Why is it important?
Design-of-experiments is an excellent approach when you have many different variables that control the outcome of a process/experiment. It provides a method such that only a limited number of experiments need to be performed rather than needing to change each variable at once, thereby saving time and money.
The following have contributed to this page: Dr James R Smith